diff --git a/libs/unstructured/README.md b/libs/unstructured/README.md
index 05f41fb..4effa06 100644
--- a/libs/unstructured/README.md
+++ b/libs/unstructured/README.md
@@ -5,12 +5,13 @@ This package contains the LangChain integration with Unstructured
 ## Installation
 
 ```bash
-pip install -U langchain-unstructured
+pip install -U 'langchain-unstructured[all_docs]'
 ```
 
 And you should configure credentials by setting the following environment variables:
 
 ```bash
+pip install -U 'langchain-unstructured[client]'
 export UNSTRUCTURED_API_KEY="your-api-key"
 ```
 
@@ -20,11 +21,11 @@ Partition and load files using either the `unstructured-client` sdk and the
 Unstructured API or locally using the `unstructured` library.
 
 API:
-To partition via the Unstructured API `pip install unstructured-client` and set
-`partition_via_api=True` and define `api_key`. If you are running the unstructured API
-locally, you can change the API rule by defining `url` when you initialize the
-loader. The hosted Unstructured API requires an API key. See the links below to
-learn more about our API offerings and get an API key.
+To partition via the Unstructured API set `partition_via_api=True` and define 
+`api_key`. If you are running the unstructured API locally, you can change the API rule 
+by defining `url` when you initialize the loader. The hosted Unstructured API requires 
+an API key. See the links below to learn more about our API offerings and get an 
+API key.
 
 Local:
 By default the file loader uses the Unstructured `partition` function and will
@@ -37,8 +38,7 @@ Unstructured kwargs to the loader to configure different unstructured settings.
 
 Setup:
 ```bash
-    pip install -U langchain-unstructured
-    pip install -U unstructured-client
+    pip install -U 'langchain-unstructured[client]'
     export UNSTRUCTURED_API_KEY="your-api-key"
 ```
 
diff --git a/libs/unstructured/example_docs/hello.pdf b/libs/unstructured/example_docs/hello.pdf
new file mode 100644
index 0000000..4eb6f2a
Binary files /dev/null and b/libs/unstructured/example_docs/hello.pdf differ
diff --git a/libs/unstructured/example_docs/layout-parser-paper-password.pdf b/libs/unstructured/example_docs/layout-parser-paper-password.pdf
new file mode 100644
index 0000000..ae9ca9b
Binary files /dev/null and b/libs/unstructured/example_docs/layout-parser-paper-password.pdf differ
diff --git a/libs/unstructured/langchain_unstructured/__init__.py b/libs/unstructured/langchain_unstructured/__init__.py
index a3f84a9..5849efe 100644
--- a/libs/unstructured/langchain_unstructured/__init__.py
+++ b/libs/unstructured/langchain_unstructured/__init__.py
@@ -1,15 +1,22 @@
 from importlib import metadata
 
-from langchain_unstructured.document_loaders import UnstructuredLoader
+from .document_loaders import (
+    UnstructuredLoader,
+    UnstructuredPDFLoader,
+    UnstructuredPDFParser,
+)
 
+""" Documentation du module unstructured patch"""
 try:
-    __version__ = metadata.version(__package__)  # type: ignore
+    __version__ = metadata.version(__package__)
 except metadata.PackageNotFoundError:
     # Case where package metadata is not available.
     __version__ = ""
 del metadata  # optional, avoids polluting the results of dir(__package__)
 
 __all__ = [
+    "UnstructuredPDFLoader",
+    "UnstructuredPDFParser",
     "UnstructuredLoader",
     "__version__",
 ]
diff --git a/libs/unstructured/langchain_unstructured/document_loaders.py b/libs/unstructured/langchain_unstructured/document_loaders.py
index 67138e2..1b92e05 100644
--- a/libs/unstructured/langchain_unstructured/document_loaders.py
+++ b/libs/unstructured/langchain_unstructured/document_loaders.py
@@ -5,14 +5,38 @@
 import json
 import logging
 import os
-from pathlib import Path
-from typing import IO, Any, Callable, Iterator, Optional, cast
-
-from langchain_core.document_loaders.base import BaseLoader
+import threading
+from bs4 import BeautifulSoup
+from langchain_community.document_loaders.blob_loaders import Blob
+from langchain_community.document_loaders.parsers.images import (
+    BaseImageBlobParser,
+    RapidOCRBlobParser,
+)
+from langchain_community.document_loaders.parsers.pdf import (
+    PDFMinerParser, _purge_metadata, _format_inner_image
+)
+from langchain_community.document_loaders.pdf import BasePDFLoader
+from langchain_core.document_loaders.base import BaseLoader, BaseBlobParser
 from langchain_core.documents import Document
+from pathlib import Path, PurePath
+from tempfile import TemporaryDirectory
+from typing import (
+    IO,
+    TYPE_CHECKING,
+    Any,
+    BinaryIO,
+    Callable,
+    Iterator,
+    Literal,
+    Optional,
+    Union,
+    cast,
+)
 from typing_extensions import TypeAlias
-from unstructured_client import UnstructuredClient
-from unstructured_client.models import operations, shared
+
+if TYPE_CHECKING:
+    from unstructured_client import UnstructuredClient
+    from unstructured_client.models import operations  # type:ignore[attr-defined]
 
 Element: TypeAlias = Any
 
@@ -21,6 +45,83 @@
 _DEFAULT_URL = "https://api.unstructuredapp.io/general/v0/general"
 
 
+def _transform_cell_content(value: str, conversion_ind: bool = False) -> str:
+    if value and conversion_ind is True:
+        from markdownify import markdownify as md
+
+        value = md(value)
+    chars = {"|": "&#124;", "\n": "<br>"}
+    for char, replacement in chars.items():
+        value = value.replace(char, replacement)
+    return value
+
+
+def convert_table(
+        html: str, content_conversion_ind: bool = False,
+        all_cols_alignment: str = "left"
+) -> str:
+    alignment_options = {"left": " :--- ", "center": " :---: ", "right": " ---: "}
+    if all_cols_alignment not in alignment_options.keys():
+        raise ValueError(
+            "Invalid alignment option for {!r} arg. " "Expected one of: {}".format(
+                "all_cols_alignment", list(alignment_options.keys())
+            )
+        )
+
+    soup = BeautifulSoup(html, "html.parser")
+
+    if not soup.find():
+        return html
+
+    table = []
+    table_headings = []
+    table_body = []
+    table_tr = soup.find_all("tr")
+
+    try:
+        table_headings = [
+            " "
+            + _transform_cell_content(
+                th.renderContents().decode("utf-8"),
+                conversion_ind=content_conversion_ind,
+            )
+            + " "
+            for th in soup.find("tr").find_all("th")
+        ]
+    except AttributeError:
+        raise ValueError("No {!r} tag found".format("tr"))
+
+    if table_headings:
+        table.append(table_headings)
+        table_tr = table_tr[1:]
+
+    for tr in table_tr:
+        td_list = [
+            " "
+            + _transform_cell_content(
+                td.renderContents().decode("utf-8"),
+                conversion_ind=content_conversion_ind,
+            )
+            + " "
+            for td in tr.find_all("td")
+        ]
+        table_body.append(td_list)
+
+    table += table_body
+    md_table_header = "|".join(
+        [""]
+        + ([" "] * len(table[0]) if not table_headings else table_headings)
+        + ["\n"]
+        + [alignment_options[all_cols_alignment]] * len(table[0])
+        + ["\n"]
+    )
+
+    md_table = md_table_header + "".join(
+        "|".join([""] + row + ["\n"]) for row in table_body
+    )
+    return md_table
+
+
 class UnstructuredLoader(BaseLoader):
     """Unstructured document loader interface.
 
@@ -104,20 +205,26 @@ class UnstructuredLoader(BaseLoader):
     """  # noqa: E501
 
     def __init__(
-        self,
-        file_path: Optional[str | Path | list[str] | list[Path]] = None,
-        *,
-        file: Optional[IO[bytes] | list[IO[bytes]]] = None,
-        partition_via_api: bool = False,
-        post_processors: Optional[list[Callable[[str], str]]] = None,
-        # SDK parameters
-        api_key: Optional[str] = None,
-        client: Optional[UnstructuredClient] = None,
-        url: Optional[str] = None,
-        web_url: Optional[str] = None,
-        **kwargs: Any,
+            self,
+            file_path: Optional[str | Path | list[str] | list[Path]] = None,
+            *,
+            file: Optional[IO[bytes] | list[IO[bytes]]] = None,
+            partition_via_api: bool = False,
+            post_processors: Optional[list[Callable[[str], str]]] = None,
+            # SDK parameters
+            api_key: Optional[str] = None,
+            client: Optional[UnstructuredClient] = None,
+            url: Optional[str] = None,
+            web_url: Optional[str] = None,
+            **kwargs: Any,
     ):
-        """Initialize loader."""
+        try:
+            import unstructured_client
+        except ImportError:
+            raise ImportError(
+                "unstructured package not found, please install it "
+                "with `pip install 'unstructured-client'`"
+            )
         if file_path is not None and file is not None:
             raise ValueError("file_path and file cannot be defined simultaneously.")
         if client is not None:
@@ -135,7 +242,7 @@ def __init__(
         unstructured_api_key = api_key or os.getenv("UNSTRUCTURED_API_KEY") or ""
         unstructured_url = url or os.getenv("UNSTRUCTURED_URL") or _DEFAULT_URL
 
-        self.client = client or UnstructuredClient(
+        self.client = client or unstructured_client.UnstructuredClient(
             api_key_auth=unstructured_api_key, server_url=unstructured_url
         )
 
@@ -151,7 +258,7 @@ def lazy_load(self) -> Iterator[Document]:
         """Load file(s) to the _UnstructuredBaseLoader."""
 
         def load_file(
-            f: Optional[IO[bytes]] = None, f_path: Optional[str | Path] = None
+                f: Optional[IO[bytes]] = None, f_path: Optional[str | Path] = None
         ) -> Iterator[Document]:
             """Load an individual file to the _UnstructuredBaseLoader."""
             return _SingleDocumentLoader(
@@ -185,19 +292,23 @@ class _SingleDocumentLoader(BaseLoader):
     locally or via the Unstructured API.
     """
 
+    _lock = threading.Lock()
+
     def __init__(
-        self,
-        file_path: Optional[str | Path] = None,
-        *,
-        client: UnstructuredClient,
-        file: Optional[IO[bytes]] = None,
-        partition_via_api: bool = False,
-        post_processors: Optional[list[Callable[[str], str]]] = None,
-        **kwargs: Any,
+            self,
+            file_path: Optional[str | Path] = None,
+            *,
+            client: UnstructuredClient,
+            file: Optional[IO[bytes]] = None,
+            partition_via_api: bool = False,
+            post_processors: Optional[list[Callable[[str], str]]] = None,
+            password: Optional[str] = None,
+            **kwargs: Any,
     ):
         """Initialize loader."""
         self.file_path = str(file_path) if isinstance(file_path, Path) else file_path
         self.file = file
+        self.password = password
         self.partition_via_api = partition_via_api
         self.post_processors = post_processors
         # SDK parameters
@@ -206,21 +317,25 @@ def __init__(
 
     def lazy_load(self) -> Iterator[Document]:
         """Load file."""
-        elements_json = (
-            self._post_process_elements_json(self._elements_json)
-            if self.post_processors
-            else self._elements_json
-        )
-        for element in elements_json:
-            metadata = self._get_metadata()
-            metadata.update(element.get("metadata"))  # type: ignore
-            metadata.update(
-                {"category": element.get("category") or element.get("type")}
-            )
-            metadata.update({"element_id": element.get("element_id")})
-            yield Document(
-                page_content=cast(str, element.get("text")), metadata=metadata
+        with _SingleDocumentLoader._lock:
+            elements_json = (
+                self._post_process_elements_json(self._elements_json)
+                if self.post_processors
+                else self._elements_json
             )
+            file_metadata = _purge_metadata(self._get_metadata())
+            for element in elements_json:
+                metadata = file_metadata.copy()
+                element_metadata = element.get("metadata") or {}
+                element_metadata.pop("filename", None)
+                metadata.update(element_metadata)
+                metadata.update(
+                    {"category": element.get("category") or element.get("type")}
+                )
+                metadata.update({"element_id": element.get("element_id")})
+                yield Document(
+                    page_content=cast(str, element.get("text")), metadata=metadata
+                )
 
     @property
     def _elements_json(self) -> list[dict[str, Any]]:
@@ -233,11 +348,11 @@ def _elements_json(self) -> list[dict[str, Any]]:
     @property
     def _elements_via_local(self) -> list[Element]:
         try:
-            from unstructured.partition.auto import partition  # type: ignore
+            from unstructured.partition.auto import partition
         except ImportError:
             raise ImportError(
                 "unstructured package not found, please install it with "
-                "`pip install unstructured`"
+                "`pip install 'unstructured[pdf]'`"
             )
 
         if self.file and self.unstructured_kwargs.get("metadata_filename") is None:
@@ -247,8 +362,11 @@ def _elements_via_local(self) -> list[Element]:
             )
 
         return partition(
-            file=self.file, filename=self.file_path, **self.unstructured_kwargs
-        )  # type: ignore
+            file=self.file,
+            filename=self.file_path,
+            password=self.password,
+            **self.unstructured_kwargs,
+        )
 
     @property
     def _elements_via_api(self) -> list[dict[str, Any]]:
@@ -274,6 +392,11 @@ def _file_content(self) -> bytes:
 
     @property
     def _sdk_partition_request(self) -> operations.PartitionRequest:
+        from unstructured_client.models import (  # type:ignore[attr-defined]
+            operations,
+            shared,
+        )
+
         return operations.PartitionRequest(
             partition_parameters=shared.PartitionParameters(
                 files=shared.Files(
@@ -284,16 +407,22 @@ def _sdk_partition_request(self) -> operations.PartitionRequest:
         )
 
     def _convert_elements_to_dicts(
-        self, elements: list[Element]
+            self, elements: list[Element]
     ) -> list[dict[str, Any]]:
         return [element.to_dict() for element in elements]
 
     def _get_metadata(self) -> dict[str, Any]:
         """Get file_path metadata if available."""
-        return {"source": self.file_path} if self.file_path else {}
+        metadata = {}
+        if self.file_path:
+            metadata = {"source": self.file_path, "filename": Path(self.file_path).name}
+        if self.file:
+            metadata["source"] = self.file.name
+            metadata["filename"] = self.file.name
+        return metadata
 
     def _post_process_elements_json(
-        self, elements_json: list[dict[str, Any]]
+            self, elements_json: list[dict[str, Any]]
     ) -> list[dict[str, Any]]:
         """Apply post processing functions to extracted unstructured elements.
 
@@ -305,3 +434,481 @@ def _post_process_elements_json(
                 for post_processor in self.post_processors:
                     element["text"] = post_processor(str(element.get("text")))
         return elements_json
+
+
+# %% ---------------------- PDF
+class _SinglePDFDocumentLoader(_SingleDocumentLoader):
+    @property
+    def _elements_via_local(self) -> list[Element]:
+        try:
+            from unstructured.partition.pdf import partition_pdf
+        except ImportError:
+            raise ImportError(
+                "unstructured package not found, please install it with "
+                "`pip install 'unstructured[pdf]'`"
+            )
+
+        if self.file and self.unstructured_kwargs.get("metadata_filename") is None:
+            raise ValueError(
+                "If partitioning a fileIO object, metadata_filename must be specified"
+                " as well.",
+            )
+
+        return partition_pdf(
+            file=self.file,
+            filename=self.file_path,
+            password=self.password,
+            **self.unstructured_kwargs,
+        )
+
+    def _get_metadata(self) -> dict[str, Any]:
+        from pdfminer.pdfpage import PDFDocument, PDFPage, PDFParser
+
+        # Create a PDF parser object associated with the file object.
+        if self.unstructured_kwargs.get("url"):
+            return {"source": self.unstructured_kwargs.get("url")}
+        with self.file or open(str(self.file_path), "rb") as file:
+            parser = PDFParser(cast(BinaryIO, file))
+
+            # Create a PDF document object that stores the document structure.
+            doc = PDFDocument(parser, password=self.password or "")
+            metadata: dict[str, Any] = (
+                {"source": self.file_path} if self.file_path else {}
+            )
+            if self.file and self.file.name:
+                metadata["filename"] = Path(self.file.name).name
+
+            for info in doc.info:
+                metadata.update(info)
+            for k, v in metadata.items():
+                try:
+                    metadata[k] = PDFMinerParser.resolve_and_decode(v)
+                except Exception as e:  # pragma: nocover
+                    # This metadata value could not be parsed. Instead of failing
+                    # the PDF read, treat it as a warning only if
+                    # `strict_metadata=False`.
+                    logger.warning(
+                        '[WARNING] Metadata key "%s" could not be parsed due to '
+                        "exception: %s",
+                        k,
+                        str(e),
+                    )
+
+            # Count number of pages.
+            metadata["total_pages"] = len(list(PDFPage.create_pages(doc)))
+            return metadata
+
+
+class UnstructuredPDFParser(BaseBlobParser):
+    """Unstructured document loader interface.
+
+    Setup:
+        Install ``langchain-unstructured`` and set environment
+        variable ``UNSTRUCTURED_API_KEY``.
+
+        .. code-block:: bash
+            pip install -U langchain-unstructured
+            export UNSTRUCTURED_API_KEY="your-api-key"
+
+    Instantiate:
+        .. code-block:: python
+            from langchain_unstructured import UnstructuredPDFParser
+
+            loader = UnstructuredPDFParser(
+                file_path = "example.pdf",
+                api_key=UNSTRUCTURED_API_KEY,
+                partition_via_api=True,
+                chunking_strategy="by_title",
+                strategy="fast",
+            )
+
+    Lazy load:
+        .. code-block:: python
+
+            docs = []
+            docs_lazy = loader.lazy_load()
+
+            # async variant:
+            # docs_lazy = await loader.alazy_load()
+
+            for doc in docs_lazy:
+                docs.append(doc)
+            print(docs[0].page_content[:100])
+            print(docs[0].metadata)
+
+        .. code-block:: python
+
+            1 2 0 2
+            {'source': './example_data/layout-parser-paper.pdf',
+            'coordinates':
+            {'points': (
+                (16.34, 213.36),
+                (16.34, 253.36),
+                (36.34, 253.36),
+                (36.34, 213.36)),
+            'system': 'PixelSpace',
+            'layout_width': 612,
+            'layout_height': 792},
+            'file_directory': './example_data',
+            'filename': 'layout-parser-paper.pdf',
+            'languages': ['eng'],
+            'last_modified': '2024-07-25T21:28:58',
+            'page_number': 1,
+            'filetype': 'application/pdf',
+            'category': 'UncategorizedText',
+            'element_id': 'd3ce55f220dfb75891b4394a18bcb973'}
+
+
+    Async load:
+        .. code-block:: python
+
+            docs = await loader.aload()
+            print(docs[0].page_content[:100])
+            print(docs[0].metadata)
+
+        .. code-block:: python
+
+            1 2 0 2
+            {'source': './example_data/layout-parser-paper.pdf',
+            'coordinates': {
+            'points': (
+            (16.34, 213.36),
+            (16.34, 253.36),
+            (36.34, 253.36),
+            (36.34, 213.36)),
+            'system': 'PixelSpace',
+            'layout_width': 612,
+            'layout_height': 792},
+            'file_directory': './example_data',
+            'filename': 'layout-parser-paper.pdf',
+            'languages': ['eng'],
+            'last_modified': '2024-07-25T21:28:58',
+            'page_number': 1,
+            'filetype': 'application/pdf',
+            'category': 'UncategorizedText',
+            'element_id': 'd3ce55f220dfb75891b4394a18bcb973'}
+
+
+    Load URL:
+        .. code-block:: python
+
+            loader = UnstructuredLoader(web_url="https://www.example.com/")
+            print(docs[0])
+
+        .. code-block:: none
+
+            page_content='Example Domain'
+                metadata={
+                    'category_depth': 0,
+                    'languages': ['eng'],
+                    'filetype': 'text/html',
+                    'url': 'https://www.example.com/',
+                    'category': 'Title',
+                    'element_id': 'fdaa78d856f9d143aeeed85bf23f58f8'}
+
+        .. code-block:: python
+
+            print(docs[1])
+
+        .. code-block:: none
+
+            page_content='This domain is for use in illustrative examples in documents.
+            You may use this domain in literature without prior coordination or asking
+            for permission.'
+            metadata={
+                'languages': ['eng'],
+                'parent_id': 'fdaa78d856f9d143aeeed85bf23f58f8',
+                'filetype': 'text/html',
+                'url': 'https://www.example.com/',
+                'category': 'NarrativeText',
+                'element_id': '3652b8458b0688639f973fe36253c992'}
+
+    """
+
+    _warn_extract_tables = False
+
+    def __init__(
+            self,
+            *,
+            password: Optional[str] = None,
+            mode: Literal["single", "page", "elements"] = "single",
+            pages_delimitor: str = "\n\n",
+            extract_images: bool = False,
+            images_parser: Optional[BaseImageBlobParser] = None,
+            images_inner_format: Literal["text", "markdown-img", "html-img"] = "text",
+            extract_tables: Optional[Literal["csv", "markdown", "html"]] = None,
+            partition_via_api: bool = False,
+            post_processors: Optional[list[Callable[[str], str]]] = None,
+            # SDK parameters
+            api_key: Optional[str] = None,
+            client: Optional[UnstructuredClient] = None,
+            url: Optional[str] = None,
+            web_url: Optional[str] = None,
+            **unstructured_kwargs: Any,
+    ) -> None:
+        """Initialize the parser.
+
+        Args:
+        """
+        try:
+            import unstructured_client
+        except ImportError:
+            raise ImportError(
+                "unstructured package not found, please install it "
+                "with `pip install 'unstructured[pdf]'`"
+            )
+        if unstructured_kwargs.get("strategy") == "ocr_only" and extract_images:
+            logger.warning("extract_images is not supported with strategy='ocr_only")
+            extract_images = False
+        if unstructured_kwargs.get("strategy") != "hi_res" and extract_tables:
+            if not UnstructuredPDFParser._warn_extract_tables:
+                UnstructuredPDFParser._warn_extract_tables = True
+                logger.warning(
+                    "extract_tables is not supported with strategy!='hi_res'"
+                )
+            extract_tables = None
+        super().__init__()
+
+        if client is not None:
+            disallowed_params = [("api_key", api_key), ("url", url)]
+            bad_params = [
+                param for param, value in disallowed_params if value is not None
+            ]
+
+            if bad_params:
+                raise ValueError(
+                    "if you are passing a custom `client`, you cannot also pass these "
+                    f"params: {', '.join(bad_params)}."
+                )
+
+        unstructured_api_key = api_key or os.getenv("UNSTRUCTURED_API_KEY") or ""
+        unstructured_url = url or os.getenv("UNSTRUCTURED_URL") or _DEFAULT_URL
+        self.client = client or unstructured_client.UnstructuredClient(
+            api_key_auth=unstructured_api_key, server_url=unstructured_url
+        )
+
+        self.password = password
+        _valid_modes = {"single", "elements", "paged", "page"}
+        if mode not in _valid_modes:
+            raise ValueError(
+                f"Got {mode} for `mode`, but should be one of `{_valid_modes}`"
+            )
+        if mode == "paged":
+            logger.warning("`paged` mode is depreceted. Use `page` mode")
+            mode = "page"
+        self.mode = mode
+        self.pages_delimitor = pages_delimitor
+        if extract_images and not images_parser:
+            images_parser = RapidOCRBlobParser()
+        if extract_images and unstructured_kwargs.get("strategy") == "fast":
+            logger.warning("Change strategy to 'auto' to extract images")
+            unstructured_kwargs["strategy"] = "auto"
+        self.images_parser = images_parser
+        self.images_inner_format = images_inner_format
+        self.tmp_dir = None
+        if extract_images:
+            if partition_via_api:
+                logger.warning("extract_images is not supported with partition_via_api")
+            else:
+                unstructured_kwargs["extract_images_in_pdf"] = True
+                self.tmp_dir = TemporaryDirectory(ignore_cleanup_errors=True)
+                if "extract_image_block_output_dir" not in unstructured_kwargs:
+                    unstructured_kwargs["extract_image_block_output_dir"] = (
+                        self.tmp_dir.name
+                    )
+        self.extract_tables = extract_tables
+        self.partition_via_api = partition_via_api
+        self.post_processors = post_processors
+        self.unstructured_kwargs = unstructured_kwargs
+
+        if web_url:
+            self.unstructured_kwargs["url"] = web_url
+
+    def lazy_parse(self, blob: Blob) -> Iterator[Document]:  # type: ignore[valid-type]
+        """Lazily parse the blob."""
+        unstructured_kwargs = self.unstructured_kwargs.copy()
+        if not self.partition_via_api:
+            unstructured_kwargs["metadata_filename"] = blob.path or blob.metadata.get(
+                "source"
+            )
+        if self.extract_tables:
+            unstructured_kwargs["infer_table_structure"] = True
+        if self.mode != "elements":
+            unstructured_kwargs["include_page_breaks"] = True
+        page_number = 0
+        path = Path(str(blob.source or blob.path))
+        with blob.as_bytes_io() as pdf_file_obj:
+            _single_doc_loader = _SinglePDFDocumentLoader(
+                file=pdf_file_obj,
+                password=self.password,
+                partition_via_api=self.partition_via_api,
+                post_processors=self.post_processors,
+                # SDK parameters
+                client=self.client,
+                **unstructured_kwargs,
+            )
+            doc_metadata = _purge_metadata(
+                _single_doc_loader._get_metadata()
+                | {
+                    "source": blob.source,
+                    "file_directory": str(path.parent),
+                    "filename": path.name,
+                    "filetype": blob.mimetype,
+                }
+            )
+        with blob.as_bytes_io() as pdf_file_obj:
+            _single_doc_loader = _SinglePDFDocumentLoader(
+                file=pdf_file_obj,
+                password=self.password,
+                partition_via_api=self.partition_via_api,
+                post_processors=self.post_processors,
+                # SDK parameters
+                client=self.client,
+                **unstructured_kwargs,
+            )
+            if self.mode == "elements":
+                yield from _single_doc_loader.lazy_load()
+            elif self.mode in ("page", "single"):
+                page_content = []
+                page_break = False
+                for doc in _single_doc_loader.lazy_load():
+                    if page_break:
+                        page_content.append(self.pages_delimitor)
+                        page_break = False
+
+                    if doc.metadata.get("category") == "Image":
+                        if "image_path" in doc.metadata:
+                            blob = Blob.from_path(doc.metadata["image_path"])
+                            image_text = next(
+                                self.images_parser.lazy_parse(blob)  # type: ignore
+                            ).page_content
+                            if image_text:
+                                page_content.append(
+                                    _format_inner_image(blob, image_text,
+                                                        self.images_inner_format)
+                                )
+
+                    elif doc.metadata.get("category") == "Table":
+                        page_content.append(
+                            self._convert_table(
+                                doc.metadata.get("text_as_html"),
+                            ),
+                        )
+                    elif doc.metadata.get("category") == "Title":
+                        page_content.append("# " + doc.page_content)
+                    elif doc.metadata.get("category") == "Header":
+                        pass
+                    elif doc.metadata.get("category") == "Footer":
+                        pass
+                    elif doc.metadata.get("category") == "PageBreak":
+                        if self.mode in ("page", "paged"):
+                            yield Document(
+                                page_content="\n".join(page_content),
+                                metadata=(doc_metadata | {"page": page_number}),
+                            )
+                            page_content.clear()
+                            page_number += 1
+                        else:
+                            page_break = True
+                    else:
+                        # NarrativeText, UncategorizedText, Formula, FigureCaption,
+                        # ListItem, Address, EmailAddress
+                        if doc.metadata.get("category") not in [
+                            "NarrativeText",
+                            "UncategorizedText",
+                            "Formula",
+                            "FigureCaption",
+                            "ListItem",
+                            "Address",
+                            "EmailAddress",
+                        ]:
+                            logger.warning(
+                                "Unknown category %s", doc.metadata.get("category")
+                            )
+                        page_content.append(doc.page_content)
+                if self.mode == "single":
+                    yield Document(
+                        page_content="\n".join(page_content),
+                        metadata=doc_metadata,
+                    )
+                else:
+                    if page_content:
+                        yield Document(
+                            page_content="\n".join(page_content),
+                            metadata=doc_metadata | {"page": page_number},
+                        )
+
+    def _convert_table(self, html_table: Optional[str]) -> str:
+        try:
+            import pandas as pd
+        except ImportError:
+            raise ImportError(
+                "pandas package not found, please install it with `pip install pandas`"
+            )
+        if not self.extract_tables:
+            return ""
+        if not html_table:
+            return ""
+        if self.extract_tables == "html":
+            return html_table
+        elif self.extract_tables == "markdown":
+            try:
+                from markdownify import markdownify as md
+
+                return md(html_table)
+            except ImportError:
+                raise ImportError(
+                    "markdownify package not found, please install it with "
+                    "`pip install markdownify`"
+                )
+        elif self.extract_tables == "csv":
+            return pd.read_html(html_table)[0].to_csv()
+        else:
+            raise ValueError("extract_tables must be csv, markdown or html")
+
+
+class UnstructuredPDFLoader(BasePDFLoader):
+    def __init__(
+            self,
+            file_path: Union[str, PurePath],
+            *,
+            headers: Optional[dict] = None,
+            mode: Literal["single", "page", "elements"] = "single",
+            pages_delimitor: str = "\n\n",
+            extract_images: bool = False,
+            images_parser: Optional[BaseImageBlobParser] = None,
+            images_inner_format: Literal["text", "markdown-img", "html-img"] = "text",
+            partition_via_api: bool = False,
+            post_processors: Optional[list[Callable[[str], str]]] = None,
+            # SDK parameters
+            api_key: Optional[str] = None,
+            client: Optional[UnstructuredClient] = None,
+            password: Optional[str] = None,
+            **unstructured_kwargs: Any,
+    ) -> None:
+        super().__init__(file_path, headers=headers)
+
+        self.parser = UnstructuredPDFParser(
+            mode=mode,  # typing: ignore
+            pages_delimitor=pages_delimitor,
+            extract_images=extract_images,
+            images_parser=images_parser,
+            images_inner_format=images_inner_format,
+            client=client,
+            partition_via_api=partition_via_api,
+            post_processors=post_processors,
+            password=password,
+            api_key=api_key,
+            **unstructured_kwargs,
+        )
+
+    def lazy_load(
+            self,
+    ) -> Iterator[Document]:
+        """Lazy load given path as pages."""
+        if self.web_path:
+            blob = Blob.from_data(open(self.file_path, "rb").read(),
+                                  path=self.web_path)  # type: ignore[attr-defined]
+        else:
+            blob = Blob.from_path(self.file_path)  # type: ignore[attr-defined]
+        yield from self.parser.lazy_parse(blob)
diff --git a/libs/unstructured/poetry.lock b/libs/unstructured/poetry.lock
index 39f7d63..e1b5594 100644
--- a/libs/unstructured/poetry.lock
+++ b/libs/unstructured/poetry.lock
@@ -1,4 +1,151 @@
-# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
+
+[[package]]
+name = "aiofiles"
+version = "24.1.0"
+description = "File support for asyncio."
+optional = true
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"csv\" or extra == \"doc\" or extra == \"docx\" or extra == \"epub\" or extra == \"image\" or extra == \"md\" or extra == \"odt\" or extra == \"org\" or extra == \"pdf\" or extra == \"ppt\" or extra == \"pptx\" or extra == \"rtf\" or extra == \"tsv\" or extra == \"xlsx\" or extra == \"huggingface\" or extra == \"local-inference\" or extra == \"paddleocr\" or extra == \"client\") and platform_machine == \"aarch64\""
+files = [
+    {file = "aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5"},
+    {file = "aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c"},
+]
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.4.6"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.9"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
+files = [
+    {file = "aiohappyeyeballs-2.4.6-py3-none-any.whl", hash = "sha256:147ec992cf873d74f5062644332c539fcd42956dc69453fe5204195e560517e1"},
+    {file = "aiohappyeyeballs-2.4.6.tar.gz", hash = "sha256:9b05052f9042985d32ecbe4b59a77ae19c006a78f1344d7fdad69d28ded3d0b0"},
+]
+
+[[package]]
+name = "aiohttp"
+version = "3.11.13"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.9"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
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+]
+
+[package.dependencies]
+aiohappyeyeballs = ">=2.3.0"
+aiosignal = ">=1.1.2"
+async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
+attrs = ">=17.3.0"
+frozenlist = ">=1.1.1"
+multidict = ">=4.5,<7.0"
+propcache = ">=0.2.0"
+yarl = ">=1.17.0,<2.0"
+
+[package.extras]
+speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.2.0) ; sys_platform == \"linux\" or sys_platform == \"darwin\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
+
+[[package]]
+name = "aiosignal"
+version = "1.3.2"
+description = "aiosignal: a list of registered asynchronous callbacks"
+optional = false
+python-versions = ">=3.9"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
+files = [
+    {file = "aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5"},
+    {file = "aiosignal-1.3.2.tar.gz", hash = "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"},
+]
+
+[package.dependencies]
+frozenlist = ">=1.1.0"
 
 [[package]]
 name = "annotated-types"
@@ -6,6 +153,8 @@ version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
     {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
@@ -15,40 +164,80 @@ files = [
 name = "antlr4-python3-runtime"
 version = "4.9.3"
 description = "ANTLR 4.9.3 runtime for Python 3.7"
-optional = false
+optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
     {file = "antlr4-python3-runtime-4.9.3.tar.gz", hash = "sha256:f224469b4168294902bb1efa80a8bf7855f24c99aef99cbefc1bcd3cce77881b"},
 ]
 
 [[package]]
 name = "anyio"
-version = "4.6.2.post1"
+version = "4.8.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
-    {file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"},
-    {file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"},
+    {file = "anyio-4.8.0-py3-none-any.whl", hash = "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a"},
+    {file = "anyio-4.8.0.tar.gz", hash = "sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a"},
 ]
 
 [package.dependencies]
 exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
 idna = ">=2.8"
 sniffio = ">=1.1"
-typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
+typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
 
 [package.extras]
-doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""]
 trio = ["trio (>=0.26.1)"]
 
+[[package]]
+name = "async-timeout"
+version = "4.0.3"
+description = "Timeout context manager for asyncio programs"
+optional = false
+python-versions = ">=3.7"
+groups = ["main", "dev", "test", "typing"]
+markers = "python_version == \"3.9\" or platform_system == \"Linux\" and platform_machine == \"aarch64\" and python_version <= \"3.10\" or python_version == \"3.10\""
+files = [
+    {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
+    {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
+]
+
+[[package]]
+name = "attrs"
+version = "25.1.0"
+description = "Classes Without Boilerplate"
+optional = false
+python-versions = ">=3.8"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
+files = [
+    {file = "attrs-25.1.0-py3-none-any.whl", hash = "sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a"},
+    {file = "attrs-25.1.0.tar.gz", hash = "sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e"},
+]
+
+[package.extras]
+benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
+tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\""]
+
 [[package]]
 name = "backoff"
 version = "2.2.1"
 description = "Function decoration for backoff and retry"
-optional = false
+optional = true
 python-versions = ">=3.7,<4.0"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"csv\" or extra == \"doc\" or extra == \"docx\" or extra == \"epub\" or extra == \"image\" or extra == \"md\" or extra == \"odt\" or extra == \"org\" or extra == \"pdf\" or extra == \"ppt\" or extra == \"pptx\" or extra == \"rtf\" or extra == \"tsv\" or extra == \"xlsx\" or extra == \"huggingface\" or extra == \"local-inference\" or extra == \"paddleocr\") and platform_machine == \"aarch64\""
 files = [
     {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
     {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
@@ -56,17 +245,20 @@ files = [
 
 [[package]]
 name = "beautifulsoup4"
-version = "4.12.3"
+version = "4.13.3"
 description = "Screen-scraping library"
 optional = false
-python-versions = ">=3.6.0"
+python-versions = ">=3.7.0"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
-    {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"},
-    {file = "beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051"},
+    {file = "beautifulsoup4-4.13.3-py3-none-any.whl", hash = "sha256:99045d7d3f08f91f0d656bc9b7efbae189426cd913d830294a15eefa0ea4df16"},
+    {file = "beautifulsoup4-4.13.3.tar.gz", hash = "sha256:1bd32405dacc920b42b83ba01644747ed77456a65760e285fbc47633ceddaf8b"},
 ]
 
 [package.dependencies]
 soupsieve = ">1.2"
+typing-extensions = ">=4.0.0"
 
 [package.extras]
 cchardet = ["cchardet"]
@@ -77,24 +269,28 @@ lxml = ["lxml"]
 
 [[package]]
 name = "cachetools"
-version = "5.5.0"
+version = "5.5.2"
 description = "Extensible memoizing collections and decorators"
-optional = false
+optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
-    {file = "cachetools-5.5.0-py3-none-any.whl", hash = "sha256:02134e8439cdc2ffb62023ce1debca2944c3f289d66bb17ead3ab3dede74b292"},
-    {file = "cachetools-5.5.0.tar.gz", hash = "sha256:2cc24fb4cbe39633fb7badd9db9ca6295d766d9c2995f245725a46715d050f2a"},
+    {file = "cachetools-5.5.2-py3-none-any.whl", hash = "sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a"},
+    {file = "cachetools-5.5.2.tar.gz", hash = "sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4"},
 ]
 
 [[package]]
 name = "certifi"
-version = "2024.8.30"
+version = "2025.1.31"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
-    {file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
-    {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
+    {file = "certifi-2025.1.31-py3-none-any.whl", hash = "sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe"},
+    {file = "certifi-2025.1.31.tar.gz", hash = "sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651"},
 ]
 
 [[package]]
@@ -103,6 +299,8 @@ version = "1.17.0"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "lint", "test", "typing"]
+markers = "python_version == \"3.9\" or platform_system == \"Linux\" and platform_machine == \"aarch64\" and python_version < \"3.10\""
 files = [
     {file = "cffi-1.17.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f9338cc05451f1942d0d8203ec2c346c830f8e86469903d5126c1f0a13a2bcbb"},
     {file = "cffi-1.17.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a0ce71725cacc9ebf839630772b07eeec220cbb5f03be1399e0457a1464f8e1a"},
@@ -182,6 +380,8 @@ version = "1.17.1"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "lint", "test", "typing"]
+markers = "python_version >= \"3.10\""
 files = [
     {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"},
     {file = "cffi-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f2cdc858323644ab277e9bb925ad72ae0e67f69e804f4898c070998d50b1a67"},
@@ -259,8 +459,10 @@ pycparser = "*"
 name = "chardet"
 version = "5.2.0"
 description = "Universal encoding detector for Python 3"
-optional = false
+optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"csv\" or extra == \"doc\" or extra == \"docx\" or extra == \"epub\" or extra == \"image\" or extra == \"md\" or extra == \"odt\" or extra == \"org\" or extra == \"pdf\" or extra == \"ppt\" or extra == \"pptx\" or extra == \"rtf\" or extra == \"tsv\" or extra == \"xlsx\" or extra == \"huggingface\" or extra == \"local-inference\" or extra == \"paddleocr\") and platform_machine == \"aarch64\""
 files = [
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 ]
 
 [[package]]
 name = "click"
-version = "8.1.7"
+version = "8.1.8"
 description = "Composable command line interface toolkit"
-optional = false
+optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"csv\" or extra == \"doc\" or extra == \"docx\" or extra == \"epub\" or extra == \"image\" or extra == \"md\" or extra == \"odt\" or extra == \"org\" or extra == \"pdf\" or extra == \"ppt\" or extra == \"pptx\" or extra == \"rtf\" or extra == \"tsv\" or extra == \"xlsx\" or extra == \"huggingface\" or extra == \"local-inference\" or extra == \"paddleocr\") and platform_machine == \"aarch64\""
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-    {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
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 ]
 
 [package.dependencies]
@@ -396,19 +589,21 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
 name = "codespell"
-version = "2.3.0"
-description = "Codespell"
+version = "2.4.1"
+description = "Fix common misspellings in text files"
 optional = false
 python-versions = ">=3.8"
+groups = ["codespell"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
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+    {file = "codespell-2.4.1.tar.gz", hash = "sha256:299fcdcb09d23e81e35a671bbe746d5ad7e8385972e65dbb833a2eaac33c01e5"},
 ]
 
 [package.extras]
 dev = ["Pygments", "build", "chardet", "pre-commit", "pytest", "pytest-cov", "pytest-dependency", "ruff", "tomli", "twine"]
 hard-encoding-detection = ["chardet"]
-toml = ["tomli"]
+toml = ["tomli ; python_version < \"3.11\""]
 types = ["chardet (>=5.1.0)", "mypy", "pytest", "pytest-cov", "pytest-dependency"]
 
 [[package]]
@@ -417,17 +612,21 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+groups = ["main", "test"]
 files = [
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 ]
+markers = {main = "(extra == \"all-docs\" or extra == \"csv\" or extra == \"doc\" or extra == \"docx\" or extra == \"epub\" or extra == \"image\" or extra == \"md\" or extra == \"odt\" or extra == \"org\" or extra == \"pdf\" or extra == \"ppt\" or extra == \"pptx\" or extra == \"rtf\" or extra == \"tsv\" or extra == \"xlsx\" or extra == \"huggingface\" or extra == \"local-inference\" or extra == \"paddleocr\") and platform_system == \"Windows\"", test = "sys_platform == \"win32\""}
 
 [[package]]
 name = "coloredlogs"
 version = "15.0.1"
 description = "Colored terminal output for Python's logging module"
-optional = false
+optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
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@@ -443,8 +642,10 @@ cron = ["capturer (>=2.4)"]
 name = "contourpy"
 version = "1.3.0"
 description = "Python library for calculating contours of 2D quadrilateral grids"
-optional = false
+optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "(python_version == \"3.9\" or platform_system == \"Linux\") and (python_version == \"3.9\" or platform_machine == \"aarch64\") and python_version < \"3.10\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\")"
 files = [
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@@ -523,12 +724,89 @@ mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.11.1)", "types-Pil
 test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
 test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist", "wurlitzer"]
 
+[[package]]
+name = "contourpy"
+version = "1.3.1"
+description = "Python library for calculating contours of 2D quadrilateral grids"
+optional = true
+python-versions = ">=3.10"
+groups = ["main"]
+markers = "python_version >= \"3.10\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\")"
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+    {file = "contourpy-1.3.1.tar.gz", hash = "sha256:dfd97abd83335045a913e3bcc4a09c0ceadbe66580cf573fe961f4a825efa699"},
+]
+
+[package.dependencies]
+numpy = ">=1.23"
+
+[package.extras]
+bokeh = ["bokeh", "selenium"]
+docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
+mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.11.1)", "types-Pillow"]
+test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
+test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist", "wurlitzer"]
+
 [[package]]
 name = "cryptography"
 version = "43.0.3"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
-optional = false
+optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"csv\" or extra == \"doc\" or extra == \"docx\" or extra == \"epub\" or extra == \"image\" or extra == \"md\" or extra == \"odt\" or extra == \"org\" or extra == \"pdf\" or extra == \"ppt\" or extra == \"pptx\" or extra == \"rtf\" or extra == \"tsv\" or extra == \"xlsx\" or extra == \"huggingface\" or extra == \"local-inference\" or extra == \"paddleocr\" or extra == \"client\") and platform_machine == \"aarch64\""
 files = [
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@@ -576,8 +854,10 @@ test-randomorder = ["pytest-randomly"]
 name = "cycler"
 version = "0.12.1"
 description = "Composable style cycles"
-optional = false
+optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
     {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
     {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
@@ -593,6 +873,8 @@ version = "0.6.7"
 description = "Easily serialize dataclasses to and from JSON."
 optional = false
 python-versions = "<4.0,>=3.7"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
     {file = "dataclasses_json-0.6.7-py3-none-any.whl", hash = "sha256:0dbf33f26c8d5305befd61b39d2b3414e8a407bedc2834dea9b8d642666fb40a"},
     {file = "dataclasses_json-0.6.7.tar.gz", hash = "sha256:b6b3e528266ea45b9535223bc53ca645f5208833c29229e847b3f26a1cc55fc0"},
@@ -604,27 +886,31 @@ typing-inspect = ">=0.4.0,<1"
 
 [[package]]
 name = "deprecated"
-version = "1.2.15"
+version = "1.2.18"
 description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
-optional = false
+optional = true
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
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-    {file = "deprecated-1.2.15.tar.gz", hash = "sha256:683e561a90de76239796e6b6feac66b99030d2dd3fcf61ef996330f14bbb9b0d"},
+    {file = "Deprecated-1.2.18-py2.py3-none-any.whl", hash = "sha256:bd5011788200372a32418f888e326a09ff80d0214bd961147cfed01b5c018eec"},
+    {file = "deprecated-1.2.18.tar.gz", hash = "sha256:422b6f6d859da6f2ef57857761bfb392480502a64c3028ca9bbe86085d72115d"},
 ]
 
 [package.dependencies]
 wrapt = ">=1.10,<2"
 
 [package.extras]
-dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "jinja2 (>=3.0.3,<3.1.0)", "setuptools", "sphinx (<2)", "tox"]
+dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "setuptools ; python_version >= \"3.12\"", "tox"]
 
 [[package]]
 name = "effdet"
 version = "0.4.1"
 description = "EfficientDet for PyTorch"
-optional = false
+optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
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     {file = "effdet-0.4.1.tar.gz", hash = "sha256:ac5589fd304a5650c201986b2ef5f8e10c111093a71b1c49fa6b8817710812b5"},
@@ -639,13 +925,15 @@ torchvision = "*"
 
 [[package]]
 name = "emoji"
-version = "2.14.0"
+version = "2.14.1"
 description = "Emoji for Python"
-optional = false
+optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"csv\" or extra == \"doc\" or extra == \"docx\" or extra == \"epub\" or extra == \"image\" or extra == \"md\" or extra == \"odt\" or extra == \"org\" or extra == \"pdf\" or extra == \"ppt\" or extra == \"pptx\" or extra == \"rtf\" or extra == \"tsv\" or extra == \"xlsx\" or extra == \"huggingface\" or extra == \"local-inference\" or extra == \"paddleocr\") and platform_machine == \"aarch64\""
 files = [
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-    {file = "emoji-2.14.0.tar.gz", hash = "sha256:f68ac28915a2221667cddb3e6c589303c3c6954c6c5af6fefaec7f9bdf72fdca"},
+    {file = "emoji-2.14.1-py3-none-any.whl", hash = "sha256:35a8a486c1460addb1499e3bf7929d3889b2e2841a57401903699fef595e942b"},
+    {file = "emoji-2.14.1.tar.gz", hash = "sha256:f8c50043d79a2c1410ebfae833ae1868d5941a67a6cd4d18377e2eb0bd79346b"},
 ]
 
 [package.extras]
@@ -655,8 +943,10 @@ dev = ["coverage", "pytest (>=7.4.4)"]
 name = "et-xmlfile"
 version = "2.0.0"
 description = "An implementation of lxml.xmlfile for the standard library"
-optional = false
+optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"xlsx\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
     {file = "et_xmlfile-2.0.0-py3-none-any.whl", hash = "sha256:7a91720bc756843502c3b7504c77b8fe44217c85c537d85037f0f536151b2caa"},
     {file = "et_xmlfile-2.0.0.tar.gz", hash = "sha256:dab3f4764309081ce75662649be815c4c9081e88f0837825f90fd28317d4da54"},
@@ -664,13 +954,15 @@ files = [
 
 [[package]]
 name = "eval-type-backport"
-version = "0.2.0"
+version = "0.2.2"
 description = "Like `typing._eval_type`, but lets older Python versions use newer typing features."
-optional = false
+optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"csv\" or extra == \"doc\" or extra == \"docx\" or extra == \"epub\" or extra == \"image\" or extra == \"md\" or extra == \"odt\" or extra == \"org\" or extra == \"pdf\" or extra == \"ppt\" or extra == \"pptx\" or extra == \"rtf\" or extra == \"tsv\" or extra == \"xlsx\" or extra == \"huggingface\" or extra == \"local-inference\" or extra == \"paddleocr\" or extra == \"client\") and platform_machine == \"aarch64\""
 files = [
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-    {file = "eval_type_backport-0.2.0.tar.gz", hash = "sha256:68796cfbc7371ebf923f03bdf7bef415f3ec098aeced24e054b253a0e78f7b37"},
+    {file = "eval_type_backport-0.2.2-py3-none-any.whl", hash = "sha256:cb6ad7c393517f476f96d456d0412ea80f0a8cf96f6892834cd9340149111b0a"},
+    {file = "eval_type_backport-0.2.2.tar.gz", hash = "sha256:f0576b4cf01ebb5bd358d02314d31846af5e07678387486e2c798af0e7d849c1"},
 ]
 
 [package.extras]
@@ -682,6 +974,8 @@ version = "1.2.2"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev", "test", "typing"]
+markers = "python_version == \"3.9\" or platform_system == \"Linux\" and platform_machine == \"aarch64\" and python_version <= \"3.10\" or python_version == \"3.10\""
 files = [
     {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
     {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
@@ -692,26 +986,30 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "filelock"
-version = "3.16.1"
+version = "3.17.0"
 description = "A platform independent file lock."
-optional = false
-python-versions = ">=3.8"
+optional = true
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\" or extra == \"huggingface\") and platform_machine == \"aarch64\""
 files = [
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-    {file = "filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"},
+    {file = "filelock-3.17.0-py3-none-any.whl", hash = "sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338"},
+    {file = "filelock-3.17.0.tar.gz", hash = "sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e"},
 ]
 
 [package.extras]
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-testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"]
-typing = ["typing-extensions (>=4.12.2)"]
+docs = ["furo (>=2024.8.6)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.6.10)", "diff-cover (>=9.2.1)", "pytest (>=8.3.4)", "pytest-asyncio (>=0.25.2)", "pytest-cov (>=6)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.28.1)"]
+typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""]
 
 [[package]]
 name = "filetype"
 version = "1.2.0"
 description = "Infer file type and MIME type of any file/buffer. No external dependencies."
-optional = false
+optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"csv\" or extra == \"doc\" or extra == \"docx\" or extra == \"epub\" or extra == \"image\" or extra == \"md\" or extra == \"odt\" or extra == \"org\" or extra == \"pdf\" or extra == \"ppt\" or extra == \"pptx\" or extra == \"rtf\" or extra == \"tsv\" or extra == \"xlsx\" or extra == \"huggingface\" or extra == \"local-inference\" or extra == \"paddleocr\") and platform_machine == \"aarch64\""
 files = [
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     {file = "filetype-1.2.0.tar.gz", hash = "sha256:66b56cd6474bf41d8c54660347d37afcc3f7d1970648de365c102ef77548aadb"},
@@ -719,97 +1017,206 @@ files = [
 
 [[package]]
 name = "flatbuffers"
-version = "24.3.25"
+version = "25.2.10"
 description = "The FlatBuffers serialization format for Python"
-optional = false
+optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
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+    {file = "flatbuffers-25.2.10-py2.py3-none-any.whl", hash = "sha256:ebba5f4d5ea615af3f7fd70fc310636fbb2bbd1f566ac0a23d98dd412de50051"},
+    {file = "flatbuffers-25.2.10.tar.gz", hash = "sha256:97e451377a41262f8d9bd4295cc836133415cc03d8cb966410a4af92eb00d26e"},
 ]
 
 [[package]]
 name = "fonttools"
-version = "4.55.0"
+version = "4.56.0"
 description = "Tools to manipulate font files"
-optional = false
+optional = true
 python-versions = ">=3.8"
-files = [
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+]
 
 [[package]]
 name = "fsspec"
-version = "2024.10.0"
+version = "2025.2.0"
 description = "File-system specification"
-optional = false
+optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\" or extra == \"huggingface\") and platform_machine == \"aarch64\""
 files = [
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-    {file = "fsspec-2024.10.0.tar.gz", hash = "sha256:eda2d8a4116d4f2429db8550f2457da57279247dd930bb12f821b58391359493"},
+    {file = "fsspec-2025.2.0-py3-none-any.whl", hash = "sha256:9de2ad9ce1f85e1931858535bc882543171d197001a0a5eb2ddc04f1781ab95b"},
+    {file = "fsspec-2025.2.0.tar.gz", hash = "sha256:1c24b16eaa0a1798afa0337aa0db9b256718ab2a89c425371f5628d22c3b6afd"},
 ]
 
 [package.extras]
@@ -836,51 +1243,58 @@ sftp = ["paramiko"]
 smb = ["smbprotocol"]
 ssh = ["paramiko"]
 test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
-test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
+test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
 test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
 tqdm = ["tqdm"]
 
 [[package]]
 name = "google-api-core"
-version = "2.23.0"
+version = "2.24.1"
 description = "Google API client core library"
-optional = false
+optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
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-    {file = "google_api_core-2.23.0.tar.gz", hash = "sha256:2ceb087315e6af43f256704b871d99326b1f12a9d6ce99beaedec99ba26a0ace"},
+    {file = "google_api_core-2.24.1-py3-none-any.whl", hash = "sha256:bc78d608f5a5bf853b80bd70a795f703294de656c096c0968320830a4bc280f1"},
+    {file = "google_api_core-2.24.1.tar.gz", hash = "sha256:f8b36f5456ab0dd99a1b693a40a31d1e7757beea380ad1b38faaf8941eae9d8a"},
 ]
 
 [package.dependencies]
 google-auth = ">=2.14.1,<3.0.dev0"
 googleapis-common-protos = ">=1.56.2,<2.0.dev0"
 grpcio = [
-    {version = ">=1.33.2,<2.0dev", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.33.2,<2.0dev", optional = true, markers = "extra == \"grpc\""},
     {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
 ]
 grpcio-status = [
-    {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "extra == \"grpc\""},
     {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
 ]
-proto-plus = {version = ">=1.22.3,<2.0.0dev", markers = "python_version < \"3.13\""}
+proto-plus = [
+    {version = ">=1.22.3,<2.0.0dev"},
+    {version = ">=1.25.0,<2.0.0dev", markers = "python_version >= \"3.13\""},
+]
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
 requests = ">=2.18.0,<3.0.0.dev0"
 
 [package.extras]
 async-rest = ["google-auth[aiohttp] (>=2.35.0,<3.0.dev0)"]
-grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0)"]
+grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev) ; python_version >= \"3.11\"", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0) ; python_version >= \"3.11\""]
 grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-auth"
-version = "2.36.0"
+version = "2.38.0"
 description = "Google Authentication Library"
-optional = false
+optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
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-    {file = "google_auth-2.36.0.tar.gz", hash = "sha256:545e9618f2df0bcbb7dcbc45a546485b1212624716975a1ea5ae8149ce769ab1"},
+    {file = "google_auth-2.38.0-py2.py3-none-any.whl", hash = "sha256:e7dae6694313f434a2727bf2906f27ad259bae090d7aa896590d86feec3d9d4a"},
+    {file = "google_auth-2.38.0.tar.gz", hash = "sha256:8285113607d3b80a3f1543b75962447ba8a09fe85783432a784fdeef6ac094c4"},
 ]
 
 [package.dependencies]
@@ -891,36 +1305,44 @@ rsa = ">=3.1.4,<5"
 [package.extras]
 aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "requests (>=2.20.0,<3.0.0.dev0)"]
 enterprise-cert = ["cryptography", "pyopenssl"]
+pyjwt = ["cryptography (>=38.0.3)", "pyjwt (>=2.0)"]
 pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
 reauth = ["pyu2f (>=0.1.5)"]
 requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
 
 [[package]]
 name = "google-cloud-vision"
-version = "3.8.1"
+version = "3.10.0"
 description = "Google Cloud Vision API client library"
-optional = false
+optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
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+    {file = "google_cloud_vision-3.10.0-py2.py3-none-any.whl", hash = "sha256:cac9705a21374dcd4a62281e93dae5a2cb7eaf161fdd0aa5585e66c6c1d42f44"},
+    {file = "google_cloud_vision-3.10.0.tar.gz", hash = "sha256:1f0b1e17ada68f7b257eef3cb7c91a02c8f21e254f8bdb8ff38b0e67d25ce3a5"},
 ]
 
 [package.dependencies]
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 google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev"
-proto-plus = {version = ">=1.22.3,<2.0.0dev", markers = "python_version < \"3.13\""}
+proto-plus = [
+    {version = ">=1.22.3,<2.0.0dev"},
+    {version = ">=1.25.0,<2.0.0dev", markers = "python_version >= \"3.13\""},
+]
 protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0dev"
 
 [[package]]
 name = "googleapis-common-protos"
-version = "1.66.0"
+version = "1.68.0"
 description = "Common protobufs used in Google APIs"
-optional = false
+optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
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+    {file = "googleapis_common_protos-1.68.0-py2.py3-none-any.whl", hash = "sha256:aaf179b2f81df26dfadac95def3b16a95064c76a5f45f07e4c68a21bb371c4ac"},
+    {file = "googleapis_common_protos-1.68.0.tar.gz", hash = "sha256:95d38161f4f9af0d9423eed8fb7b64ffd2568c3464eb542ff02c5bfa1953ab3c"},
 ]
 
 [package.dependencies]
@@ -929,87 +1351,179 @@ protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4
 [package.extras]
 grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
 
+[[package]]
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+version = "3.1.1"
+description = "Lightweight in-process concurrent programming"
+optional = false
+python-versions = ">=3.7"
+groups = ["main", "dev", "test", "typing"]
+markers = "python_version < \"3.14\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"
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 ]
 
 [package.extras]
-protobuf = ["grpcio-tools (>=1.68.0)"]
+protobuf = ["grpcio-tools (>=1.70.0)"]
 
 [[package]]
 name = "grpcio-status"
-version = "1.68.0"
+version = "1.70.0"
 description = "Status proto mapping for gRPC"
-optional = false
+optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
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 ]
 
 [package.dependencies]
 googleapis-common-protos = ">=1.5.5"
-grpcio = ">=1.68.0"
+grpcio = ">=1.70.0"
 protobuf = ">=5.26.1,<6.0dev"
 
 [[package]]
@@ -1018,17 +1532,44 @@ version = "0.14.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
     {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
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 ]
 
+[[package]]
+name = "html5lib"
+version = "1.1"
+description = "HTML parser based on the WHATWG HTML specification"
+optional = true
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"csv\" or extra == \"doc\" or extra == \"docx\" or extra == \"epub\" or extra == \"image\" or extra == \"md\" or extra == \"odt\" or extra == \"org\" or extra == \"pdf\" or extra == \"ppt\" or extra == \"pptx\" or extra == \"rtf\" or extra == \"tsv\" or extra == \"xlsx\" or extra == \"huggingface\" or extra == \"local-inference\" or extra == \"paddleocr\") and platform_machine == \"aarch64\""
+files = [
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+    {file = "html5lib-1.1.tar.gz", hash = "sha256:b2e5b40261e20f354d198eae92afc10d750afb487ed5e50f9c4eaf07c184146f"},
+]
+
+[package.dependencies]
+six = ">=1.9"
+webencodings = "*"
+
+[package.extras]
+all = ["chardet (>=2.2)", "genshi", "lxml ; platform_python_implementation == \"CPython\""]
+chardet = ["chardet (>=2.2)"]
+genshi = ["genshi"]
+lxml = ["lxml ; platform_python_implementation == \"CPython\""]
+
 [[package]]
 name = "httpcore"
 version = "1.0.7"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
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@@ -1046,13 +1587,15 @@ trio = ["trio (>=0.22.0,<1.0)"]
 
 [[package]]
 name = "httpx"
-version = "0.27.2"
+version = "0.28.1"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
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+    {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"},
+    {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"},
 ]
 
 [package.dependencies]
@@ -1060,24 +1603,38 @@ anyio = "*"
 certifi = "*"
 httpcore = "==1.*"
 idna = "*"
-sniffio = "*"
 
 [package.extras]
-brotli = ["brotli", "brotlicffi"]
+brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
 zstd = ["zstandard (>=0.18.0)"]
 
+[[package]]
+name = "httpx-sse"
+version = "0.4.0"
+description = "Consume Server-Sent Event (SSE) messages with HTTPX."
+optional = false
+python-versions = ">=3.8"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
+files = [
+    {file = "httpx-sse-0.4.0.tar.gz", hash = "sha256:1e81a3a3070ce322add1d3529ed42eb5f70817f45ed6ec915ab753f961139721"},
+    {file = "httpx_sse-0.4.0-py3-none-any.whl", hash = "sha256:f329af6eae57eaa2bdfd962b42524764af68075ea87370a2de920af5341e318f"},
+]
+
 [[package]]
 name = "huggingface-hub"
-version = "0.26.2"
+version = "0.29.1"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
-optional = false
+optional = true
 python-versions = ">=3.8.0"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\" or extra == \"huggingface\") and platform_machine == \"aarch64\""
 files = [
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-    {file = "huggingface_hub-0.26.2.tar.gz", hash = "sha256:b100d853465d965733964d123939ba287da60a547087783ddff8a323f340332b"},
+    {file = "huggingface_hub-0.29.1-py3-none-any.whl", hash = "sha256:352f69caf16566c7b6de84b54a822f6238e17ddd8ae3da4f8f2272aea5b198d5"},
+    {file = "huggingface_hub-0.29.1.tar.gz", hash = "sha256:9524eae42077b8ff4fc459ceb7a514eca1c1232b775276b009709fe2a084f250"},
 ]
 
 [package.dependencies]
@@ -1090,13 +1647,13 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 hf-transfer = ["hf-transfer (>=0.1.4)"]
 inference = ["aiohttp"]
-quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.5.0)"]
+quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.9.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
 tensorflow-testing = ["keras (<3.0)", "tensorflow"]
 testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
@@ -1107,8 +1664,10 @@ typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "t
 name = "humanfriendly"
 version = "10.0"
 description = "Human friendly output for text interfaces using Python"
-optional = false
+optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
     {file = "humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477"},
     {file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
@@ -1123,6 +1682,8 @@ version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
     {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
     {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
@@ -1133,43 +1694,47 @@ all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2
 
 [[package]]
 name = "importlib-metadata"
-version = "8.5.0"
+version = "8.6.1"
 description = "Read metadata from Python packages"
-optional = false
-python-versions = ">=3.8"
+optional = true
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "(python_version == \"3.9\" or platform_system == \"Linux\") and (python_version == \"3.9\" or platform_machine == \"aarch64\") and (extra == \"all-docs\" or extra == \"md\" or extra == \"local-inference\") and python_version < \"3.10\""
 files = [
-    {file = "importlib_metadata-8.5.0-py3-none-any.whl", hash = "sha256:45e54197d28b7a7f1559e60b95e7c567032b602131fbd588f1497f47880aa68b"},
-    {file = "importlib_metadata-8.5.0.tar.gz", hash = "sha256:71522656f0abace1d072b9e5481a48f07c138e00f079c38c8f883823f9c26bd7"},
+    {file = "importlib_metadata-8.6.1-py3-none-any.whl", hash = "sha256:02a89390c1e15fdfdc0d7c6b25cb3e62650d0494005c97d6f148bf5b9787525e"},
+    {file = "importlib_metadata-8.6.1.tar.gz", hash = "sha256:310b41d755445d74569f993ccfc22838295d9fe005425094fad953d7f15c8580"},
 ]
 
 [package.dependencies]
 zipp = ">=3.20"
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
 perf = ["ipython"]
-test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+test = ["flufl.flake8", "importlib_resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
 type = ["pytest-mypy"]
 
 [[package]]
 name = "importlib-resources"
-version = "6.4.5"
+version = "6.5.2"
 description = "Read resources from Python packages"
-optional = false
-python-versions = ">=3.8"
+optional = true
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "(python_version == \"3.9\" or platform_system == \"Linux\") and (python_version == \"3.9\" or platform_machine == \"aarch64\") and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and python_version < \"3.10\""
 files = [
-    {file = "importlib_resources-6.4.5-py3-none-any.whl", hash = "sha256:ac29d5f956f01d5e4bb63102a5a19957f1b9175e45649977264a1416783bb717"},
-    {file = "importlib_resources-6.4.5.tar.gz", hash = "sha256:980862a1d16c9e147a59603677fa2aa5fd82b87f223b6cb870695bcfce830065"},
+    {file = "importlib_resources-6.5.2-py3-none-any.whl", hash = "sha256:789cfdc3ed28c78b67a06acb8126751ced69a3d5f79c095a98298cd8a760ccec"},
+    {file = "importlib_resources-6.5.2.tar.gz", hash = "sha256:185f87adef5bcc288449d98fb4fba07cea78bc036455dd44c5fc4a2fe78fed2c"},
 ]
 
 [package.dependencies]
 zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
@@ -1182,38 +1747,24 @@ version = "2.0.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.7"
+groups = ["test"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
     {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
 ]
 
-[[package]]
-name = "iopath"
-version = "0.1.10"
-description = "A library for providing I/O abstraction."
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "iopath-0.1.10.tar.gz", hash = "sha256:3311c16a4d9137223e20f141655759933e1eda24f8bff166af834af3c645ef01"},
-]
-
-[package.dependencies]
-portalocker = "*"
-tqdm = "*"
-typing_extensions = "*"
-
-[package.extras]
-aws = ["boto3"]
-
 [[package]]
 name = "jinja2"
-version = "3.1.4"
+version = "3.1.5"
 description = "A very fast and expressive template engine."
-optional = false
+optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\" or extra == \"huggingface\") and platform_machine == \"aarch64\""
 files = [
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-    {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"},
+    {file = "jinja2-3.1.5-py3-none-any.whl", hash = "sha256:aba0f4dc9ed8013c424088f68a5c226f7d6097ed89b246d7749c2ec4175c6adb"},
+    {file = "jinja2-3.1.5.tar.gz", hash = "sha256:8fefff8dc3034e27bb80d67c671eb8a9bc424c0ef4c0826edbff304cceff43bb"},
 ]
 
 [package.dependencies]
@@ -1226,8 +1777,10 @@ i18n = ["Babel (>=2.7)"]
 name = "joblib"
 version = "1.4.2"
 description = "Lightweight pipelining with Python functions"
-optional = false
+optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"csv\" or extra == \"doc\" or extra == \"docx\" or extra == \"epub\" or extra == \"image\" or extra == \"md\" or extra == \"odt\" or extra == \"org\" or extra == \"pdf\" or extra == \"ppt\" or extra == \"pptx\" or extra == \"rtf\" or extra == \"tsv\" or extra == \"xlsx\" or extra == \"huggingface\" or extra == \"local-inference\" or extra == \"paddleocr\") and platform_machine == \"aarch64\""
 files = [
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     {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"},
@@ -1239,6 +1792,8 @@ version = "1.33"
 description = "Apply JSON-Patches (RFC 6902)"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
     {file = "jsonpatch-1.33-py2.py3-none-any.whl", hash = "sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade"},
     {file = "jsonpatch-1.33.tar.gz", hash = "sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c"},
@@ -1247,23 +1802,14 @@ files = [
 [package.dependencies]
 jsonpointer = ">=1.9"
 
-[[package]]
-name = "jsonpath-python"
-version = "1.0.6"
-description = "A more powerful JSONPath implementation in modern python"
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "jsonpath-python-1.0.6.tar.gz", hash = "sha256:dd5be4a72d8a2995c3f583cf82bf3cd1a9544cfdabf2d22595b67aff07349666"},
-    {file = "jsonpath_python-1.0.6-py3-none-any.whl", hash = "sha256:1e3b78df579f5efc23565293612decee04214609208a2335884b3ee3f786b575"},
-]
-
 [[package]]
 name = "jsonpointer"
 version = "3.0.0"
 description = "Identify specific nodes in a JSON document (RFC 6901)"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
     {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
     {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
@@ -1273,8 +1819,10 @@ files = [
 name = "kiwisolver"
 version = "1.4.7"
 description = "A fast implementation of the Cassowary constraint solver"
-optional = false
+optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "(python_version == \"3.9\" or platform_system == \"Linux\") and (python_version == \"3.9\" or platform_machine == \"aarch64\") and python_version < \"3.10\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\")"
 files = [
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@@ -1393,39 +1941,231 @@ files = [
 ]
 
 [[package]]
-name = "langchain-core"
+name = "kiwisolver"
+version = "1.4.8"
+description = "A fast implementation of the Cassowary constraint solver"
+optional = true
+python-versions = ">=3.10"
+groups = ["main"]
+markers = "python_version >= \"3.10\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\")"
+files = [
+    {file = "kiwisolver-1.4.8-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:88c6f252f6816a73b1f8c904f7bbe02fd67c09a69f7cb8a0eecdbf5ce78e63db"},
+    {file = "kiwisolver-1.4.8-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c72941acb7b67138f35b879bbe85be0f6c6a70cab78fe3ef6db9c024d9223e5b"},
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 [[package]]
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 version = "1.0.9"
 description = "Language detection library ported from Google's language-detection."
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+optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"csv\" or extra == \"doc\" or extra == \"docx\" or extra == \"epub\" or extra == \"image\" or extra == \"md\" or extra == \"odt\" or extra == \"org\" or extra == \"pdf\" or extra == \"ppt\" or extra == \"pptx\" or extra == \"rtf\" or extra == \"tsv\" or extra == \"xlsx\" or extra == \"huggingface\" or extra == \"local-inference\" or extra == \"paddleocr\") and platform_machine == \"aarch64\""
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@@ -1436,215 +2176,197 @@ six = "*"
 
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 [package.extras]
 cssselect = ["cssselect (>=0.7)"]
-html-clean = ["lxml-html-clean"]
+html-clean = ["lxml_html_clean"]
 html5 = ["html5lib"]
 htmlsoup = ["BeautifulSoup4"]
-source = ["Cython (>=3.0.11)"]
+source = ["Cython (>=3.0.11,<3.1.0)"]
 
 [[package]]
 name = "markdown"
 version = "3.7"
 description = "Python implementation of John Gruber's Markdown."
-optional = false
+optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"md\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
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@@ -1657,12 +2379,31 @@ importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""}
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 testing = ["coverage", "pyyaml"]
 
+[[package]]
+name = "markdownify"
+version = "1.0.0"
+description = "Convert HTML to markdown."
+optional = false
+python-versions = "*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
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+]
+
+[package.dependencies]
+beautifulsoup4 = ">=4.9,<5"
+six = ">=1.15,<2"
+
 [[package]]
 name = "markupsafe"
 version = "3.0.2"
 description = "Safely add untrusted strings to HTML/XML markup."
-optional = false
+optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\" or extra == \"huggingface\") and platform_machine == \"aarch64\""
 files = [
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@@ -1729,13 +2470,15 @@ files = [
 
 [[package]]
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+version = "3.26.1"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
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 python-versions = ">=3.9"
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 [package.dependencies]
@@ -1743,56 +2486,59 @@ packaging = ">=17.0"
 
 [package.extras]
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 tests = ["pytest", "simplejson"]
 
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 [package.dependencies]
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 python-dateutil = ">=2.7"
 
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+
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+
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 [[package]]
 name = "mpmath"
 version = "1.3.0"
 description = "Python library for arbitrary-precision floating-point arithmetic"
-optional = false
+optional = true
 python-versions = "*"
+groups = ["main"]
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 docs = ["sphinx"]
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 tests = ["pytest (>=4.6)"]
 
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 description = "Type system extensions for programs checked with the mypy type checker."
 optional = false
 python-versions = ">=3.5"
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+optional = true
 python-versions = ">=3.5"
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 version = "3.9.1"
 description = "Natural Language Toolkit"
-optional = false
+optional = true
 python-versions = ">=3.8"
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 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
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 ]
 
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 name = "nvidia-cuda-nvrtc-cu12"
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+version = "12.4.127"
 description = "NVRTC native runtime libraries"
-optional = false
+optional = true
 python-versions = ">=3"
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 ]
 
 [[package]]
 name = "nvidia-cuda-runtime-cu12"
-version = "12.1.105"
+version = "12.4.127"
 description = "CUDA Runtime native Libraries"
-optional = false
+optional = true
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\" or extra == \"huggingface\")"
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 ]
 
 [[package]]
 name = "nvidia-cudnn-cu12"
 version = "9.1.0.70"
 description = "cuDNN runtime libraries"
-optional = false
+optional = true
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\" or extra == \"huggingface\")"
 files = [
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@@ -2104,35 +3010,47 @@ nvidia-cublas-cu12 = "*"
 
 [[package]]
 name = "nvidia-cufft-cu12"
-version = "11.0.2.54"
+version = "11.2.1.3"
 description = "CUFFT native runtime libraries"
-optional = false
+optional = true
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\" or extra == \"huggingface\")"
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 ]
 
+[package.dependencies]
+nvidia-nvjitlink-cu12 = "*"
+
 [[package]]
 name = "nvidia-curand-cu12"
-version = "10.3.2.106"
+version = "10.3.5.147"
 description = "CURAND native runtime libraries"
-optional = false
+optional = true
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\" or extra == \"huggingface\")"
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 ]
 
 [[package]]
 name = "nvidia-cusolver-cu12"
-version = "11.4.5.107"
+version = "11.6.1.9"
 description = "CUDA solver native runtime libraries"
-optional = false
+optional = true
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\" or extra == \"huggingface\")"
 files = [
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+    {file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_aarch64.whl", hash = "sha256:d338f155f174f90724bbde3758b7ac375a70ce8e706d70b018dd3375545fc84e"},
+    {file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl", hash = "sha256:19e33fa442bcfd085b3086c4ebf7e8debc07cfe01e11513cc6d332fd918ac260"},
+    {file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-win_amd64.whl", hash = "sha256:e77314c9d7b694fcebc84f58989f3aa4fb4cb442f12ca1a9bde50f5e8f6d1b9c"},
 ]
 
 [package.dependencies]
@@ -2142,58 +3060,83 @@ nvidia-nvjitlink-cu12 = "*"
 
 [[package]]
 name = "nvidia-cusparse-cu12"
-version = "12.1.0.106"
+version = "12.3.1.170"
 description = "CUSPARSE native runtime libraries"
-optional = false
+optional = true
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\" or extra == \"huggingface\")"
 files = [
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+    {file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_aarch64.whl", hash = "sha256:9d32f62896231ebe0480efd8a7f702e143c98cfaa0e8a76df3386c1ba2b54df3"},
+    {file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl", hash = "sha256:ea4f11a2904e2a8dc4b1833cc1b5181cde564edd0d5cd33e3c168eff2d1863f1"},
+    {file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-win_amd64.whl", hash = "sha256:9bc90fb087bc7b4c15641521f31c0371e9a612fc2ba12c338d3ae032e6b6797f"},
 ]
 
 [package.dependencies]
 nvidia-nvjitlink-cu12 = "*"
 
+[[package]]
+name = "nvidia-cusparselt-cu12"
+version = "0.6.2"
+description = "NVIDIA cuSPARSELt"
+optional = true
+python-versions = "*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\" or extra == \"huggingface\")"
+files = [
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+    {file = "nvidia_cusparselt_cu12-0.6.2-py3-none-manylinux2014_x86_64.whl", hash = "sha256:df2c24502fd76ebafe7457dbc4716b2fec071aabaed4fb7691a201cde03704d9"},
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+]
+
 [[package]]
 name = "nvidia-nccl-cu12"
-version = "2.20.5"
+version = "2.21.5"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
-optional = false
+optional = true
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\" or extra == \"huggingface\")"
 files = [
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 ]
 
 [[package]]
 name = "nvidia-nvjitlink-cu12"
-version = "12.6.77"
+version = "12.4.127"
 description = "Nvidia JIT LTO Library"
-optional = false
+optional = true
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\" or extra == \"huggingface\")"
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 ]
 
 [[package]]
 name = "nvidia-nvtx-cu12"
-version = "12.1.105"
+version = "12.4.127"
 description = "NVIDIA Tools Extension"
-optional = false
+optional = true
 python-versions = ">=3"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\" or extra == \"huggingface\")"
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 ]
 
 [[package]]
 name = "olefile"
 version = "0.47"
 description = "Python package to parse, read and write Microsoft OLE2 files (Structured Storage or Compound Document, Microsoft Office)"
-optional = false
+optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"csv\" or extra == \"doc\" or extra == \"docx\" or extra == \"epub\" or extra == \"image\" or extra == \"md\" or extra == \"odt\" or extra == \"org\" or extra == \"pdf\" or extra == \"ppt\" or extra == \"pptx\" or extra == \"rtf\" or extra == \"tsv\" or extra == \"xlsx\" or extra == \"huggingface\" or extra == \"local-inference\" or extra == \"paddleocr\") and platform_machine == \"aarch64\""
 files = [
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@@ -2206,8 +3149,10 @@ tests = ["pytest", "pytest-cov"]
 name = "omegaconf"
 version = "2.3.0"
 description = "A flexible configuration library"
-optional = false
+optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
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@@ -2221,8 +3166,10 @@ PyYAML = ">=5.1.0"
 name = "onnx"
 version = "1.17.0"
 description = "Open Neural Network Exchange"
-optional = false
+optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
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@@ -2261,36 +3208,34 @@ reference = ["Pillow", "google-re2"]
 
 [[package]]
 name = "onnxruntime"
-version = "1.19.2"
+version = "1.20.1"
 description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
-optional = false
+optional = true
 python-versions = "*"
-files = [
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 ]
 
 [package.dependencies]
@@ -2303,36 +3248,40 @@ sympy = "*"
 
 [[package]]
 name = "opencv-python"
-version = "4.10.0.84"
+version = "4.11.0.86"
 description = "Wrapper package for OpenCV python bindings."
-optional = false
+optional = true
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
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+    {file = "opencv-python-4.11.0.86.tar.gz", hash = "sha256:03d60ccae62304860d232272e4a4fda93c39d595780cb40b161b310244b736a4"},
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 version = "3.1.5"
 description = "A Python library to read/write Excel 2010 xlsx/xlsm files"
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+optional = true
 python-versions = ">=3.8"
+groups = ["main"]
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@@ -2343,69 +3292,92 @@ et-xmlfile = "*"
 
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 ]
 
 [[package]]
@@ -2414,6 +3386,8 @@ version = "24.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
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@@ -2423,8 +3397,10 @@ files = [
 name = "pandas"
 version = "2.2.3"
 description = "Powerful data structures for data analysis, time series, and statistics"
-optional = false
+optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\" or extra == \"csv\" or extra == \"tsv\" or extra == \"xlsx\") and platform_machine == \"aarch64\""
 files = [
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@@ -2473,8 +3449,8 @@ files = [
 [package.dependencies]
 numpy = [
     {version = ">=1.22.4", markers = "python_version < \"3.11\""},
-    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
     {version = ">=1.23.2", markers = "python_version == \"3.11\""},
+    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
@@ -2509,8 +3485,10 @@ xml = ["lxml (>=4.9.2)"]
 name = "pdf2image"
 version = "1.17.0"
 description = "A wrapper around the pdftoppm and pdftocairo command line tools to convert PDF to a PIL Image list."
-optional = false
+optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
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@@ -2521,13 +3499,15 @@ pillow = "*"
 
 [[package]]
 name = "pdfminer-six"
-version = "20231228"
+version = "20240706"
 description = "PDF parser and analyzer"
-optional = false
-python-versions = ">=3.6"
+optional = true
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
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+    {file = "pdfminer.six-20240706-py3-none-any.whl", hash = "sha256:f4f70e74174b4b3542fcb8406a210b6e2e27cd0f0b5fd04534a8cc0d8951e38c"},
+    {file = "pdfminer.six-20240706.tar.gz", hash = "sha256:c631a46d5da957a9ffe4460c5dce21e8431dabb615fee5f9f4400603a58d95a6"},
 ]
 
 [package.dependencies]
@@ -2535,79 +3515,65 @@ charset-normalizer = ">=2.0.0"
 cryptography = ">=36.0.0"
 
 [package.extras]
-dev = ["black", "mypy (==0.931)", "nox", "pytest"]
+dev = ["atheris", "black", "mypy (==0.931)", "nox", "pytest"]
 docs = ["sphinx", "sphinx-argparse"]
 image = ["Pillow"]
 
-[[package]]
-name = "pdfplumber"
-version = "0.11.4"
-description = "Plumb a PDF for detailed information about each char, rectangle, and line."
-optional = false
-python-versions = ">=3.8"
-files = [
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-]
-
-[package.dependencies]
-"pdfminer.six" = "20231228"
-Pillow = ">=9.1"
-pypdfium2 = ">=4.18.0"
-
 [[package]]
 name = "pi-heif"
-version = "0.20.0"
+version = "0.21.0"
 description = "Python interface for libheif library"
-optional = false
+optional = true
 python-versions = ">=3.9"
-files = [
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 [package.dependencies]
@@ -2678,100 +3642,98 @@ Pillow = ">=10.0.1"
 
 [package.extras]
 dev = ["pre-commit", "typer"]
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 [[package]]
 name = "pillow"
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 description = "Python Imaging Library (Fork)"
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 ]
 
 [package.extras]
 docs = ["furo", "olefile", "sphinx (>=8.1)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
 fpx = ["olefile"]
 mic = ["olefile"]
-tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
-typing = ["typing-extensions"]
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+typing = ["typing-extensions ; python_version < \"3.10\""]
 xmp = ["defusedxml"]
 
 [[package]]
@@ -2780,6 +3742,8 @@ version = "1.5.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
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 testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
-name = "portalocker"
-version = "3.0.0"
-description = "Wraps the portalocker recipe for easy usage"
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 version = "0.6.1"
 description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
-optional = false
+optional = true
 python-versions = ">=3.8"
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@@ -2890,8 +3945,10 @@ files = [
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 version = "0.4.1"
 description = "A collection of ASN.1-based protocols modules"
-optional = false
+optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
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 version = "2.0.8"
 description = "Official APIs for the MS-COCO dataset"
-optional = false
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 python-versions = ">=3.9"
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@@ -2948,6 +4007,8 @@ version = "2.22"
 description = "C parser in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "lint", "test", "typing"]
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+version = "3.2.1"
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-optional = false
+optional = true
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 [package.extras]
@@ -3104,13 +4203,15 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pypdf"
-version = "5.1.0"
+version = "5.3.0"
 description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
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+optional = true
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 ]
 
 [package.dependencies]
@@ -3126,32 +4227,36 @@ image = ["Pillow (>=8.0.0)"]
 
 [[package]]
 name = "pypdfium2"
-version = "4.30.0"
+version = "4.30.1"
 description = "Python bindings to PDFium"
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 [[package]]
 name = "pyreadline3"
 version = "3.5.4"
 description = "A python implementation of GNU readline."
-optional = false
+optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "sys_platform == \"win32\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
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@@ -3166,6 +4271,8 @@ version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["test"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
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@@ -3188,6 +4295,8 @@ version = "0.23.8"
 description = "Pytest support for asyncio"
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
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@@ -3206,6 +4315,8 @@ version = "0.7.0"
 description = "Pytest Plugin to disable socket calls during tests"
 optional = false
 python-versions = ">=3.8,<4.0"
+groups = ["test"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
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@@ -3216,13 +4327,15 @@ pytest = ">=6.2.5"
 
 [[package]]
 name = "python-dateutil"
-version = "2.8.2"
+version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
-optional = false
+optional = true
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"csv\" or extra == \"doc\" or extra == \"docx\" or extra == \"epub\" or extra == \"image\" or extra == \"md\" or extra == \"odt\" or extra == \"org\" or extra == \"pdf\" or extra == \"ppt\" or extra == \"pptx\" or extra == \"rtf\" or extra == \"tsv\" or extra == \"xlsx\" or extra == \"huggingface\" or extra == \"local-inference\" or extra == \"paddleocr\" or extra == \"client\") and platform_machine == \"aarch64\""
 files = [
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 ]
 
 [package.dependencies]
@@ -3232,8 +4345,10 @@ six = ">=1.5"
 name = "python-docx"
 version = "1.1.2"
 description = "Create, read, and update Microsoft Word .docx files."
-optional = false
+optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"doc\" or extra == \"docx\" or extra == \"odt\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
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@@ -3244,25 +4359,45 @@ lxml = ">=3.1.0"
 typing-extensions = ">=4.9.0"
 
 [[package]]
-name = "python-iso639"
-version = "2024.10.22"
-description = "ISO 639 language codes, names, and other associated information"
+name = "python-dotenv"
+version = "1.0.1"
+description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
+files = [
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+    {file = "python_dotenv-1.0.1-py3-none-any.whl", hash = "sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a"},
+]
+
+[package.extras]
+cli = ["click (>=5.0)"]
+
+[[package]]
+name = "python-iso639"
+version = "2025.2.18"
+description = "ISO 639 language codes, names, and other associated information"
+optional = true
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"csv\" or extra == \"doc\" or extra == \"docx\" or extra == \"epub\" or extra == \"image\" or extra == \"md\" or extra == \"odt\" or extra == \"org\" or extra == \"pdf\" or extra == \"ppt\" or extra == \"pptx\" or extra == \"rtf\" or extra == \"tsv\" or extra == \"xlsx\" or extra == \"huggingface\" or extra == \"local-inference\" or extra == \"paddleocr\") and platform_machine == \"aarch64\""
 files = [
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 ]
 
 [package.extras]
-dev = ["black (==24.10.0)", "build (==1.2.1)", "flake8 (==7.1.1)", "pytest (==8.3.3)", "requests (==2.32.3)", "twine (==5.1.1)"]
+dev = ["black (==25.1.0)", "build (==1.2.2)", "flake8 (==7.1.1)", "mypy (==1.15.0)", "pytest (==8.3.4)", "requests (==2.32.3)", "twine (==6.1.0)"]
 
 [[package]]
 name = "python-magic"
 version = "0.4.27"
 description = "File type identification using libmagic"
-optional = false
+optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"csv\" or extra == \"doc\" or extra == \"docx\" or extra == \"epub\" or extra == \"image\" or extra == \"md\" or extra == \"odt\" or extra == \"org\" or extra == \"pdf\" or extra == \"ppt\" or extra == \"pptx\" or extra == \"rtf\" or extra == \"tsv\" or extra == \"xlsx\" or extra == \"huggingface\" or extra == \"local-inference\" or extra == \"paddleocr\") and platform_machine == \"aarch64\""
 files = [
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@@ -3270,37 +4405,43 @@ files = [
 
 [[package]]
 name = "python-multipart"
-version = "0.0.17"
+version = "0.0.20"
 description = "A streaming multipart parser for Python"
-optional = false
+optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
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+    {file = "python_multipart-0.0.20-py3-none-any.whl", hash = "sha256:8a62d3a8335e06589fe01f2a3e178cdcc632f3fbe0d492ad9ee0ec35aab1f104"},
+    {file = "python_multipart-0.0.20.tar.gz", hash = "sha256:8dd0cab45b8e23064ae09147625994d090fa46f5b0d1e13af944c331a7fa9d13"},
 ]
 
 [[package]]
 name = "python-oxmsg"
-version = "0.0.1"
+version = "0.0.2"
 description = "Extract attachments from Outlook .msg files."
-optional = false
+optional = true
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"csv\" or extra == \"doc\" or extra == \"docx\" or extra == \"epub\" or extra == \"image\" or extra == \"md\" or extra == \"odt\" or extra == \"org\" or extra == \"pdf\" or extra == \"ppt\" or extra == \"pptx\" or extra == \"rtf\" or extra == \"tsv\" or extra == \"xlsx\" or extra == \"huggingface\" or extra == \"local-inference\" or extra == \"paddleocr\") and platform_machine == \"aarch64\""
 files = [
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+    {file = "python_oxmsg-0.0.2.tar.gz", hash = "sha256:a6aff4deb1b5975d44d49dab1d9384089ffeec819e19c6940bc7ffbc84775fad"},
 ]
 
 [package.dependencies]
 click = "*"
 olefile = "*"
-typing-extensions = ">=4.9.0"
+typing_extensions = ">=4.9.0"
 
 [[package]]
 name = "python-pptx"
 version = "1.0.2"
 description = "Create, read, and update PowerPoint 2007+ (.pptx) files."
-optional = false
+optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"ppt\" or extra == \"pptx\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
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@@ -3314,40 +4455,15 @@ XlsxWriter = ">=0.5.7"
 
 [[package]]
 name = "pytz"
-version = "2024.2"
+version = "2025.1"
 description = "World timezone definitions, modern and historical"
-optional = false
+optional = true
 python-versions = "*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\" or extra == \"csv\" or extra == \"tsv\" or extra == \"xlsx\") and platform_machine == \"aarch64\""
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-]
-
-[[package]]
-name = "pywin32"
-version = "308"
-description = "Python for Window Extensions"
-optional = false
-python-versions = "*"
-files = [
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 python-versions = ">=3.8"
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 name = "regex"
 version = "2024.11.6"
 description = "Alternative regular expression module, to replace re."
-optional = false
+optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"csv\" or extra == \"doc\" or extra == \"docx\" or extra == \"epub\" or extra == \"image\" or extra == \"md\" or extra == \"odt\" or extra == \"org\" or extra == \"pdf\" or extra == \"ppt\" or extra == \"pptx\" or extra == \"rtf\" or extra == \"tsv\" or extra == \"xlsx\" or extra == \"huggingface\" or extra == \"local-inference\" or extra == \"paddleocr\") and platform_machine == \"aarch64\""
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@@ -3621,6 +4743,8 @@ version = "2.32.3"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
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@@ -3642,6 +4766,8 @@ version = "1.0.0"
 description = "A utility belt for advanced users of python-requests"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
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@@ -3654,8 +4780,10 @@ requests = ">=2.0.1,<3.0.0"
 name = "rsa"
 version = "4.9"
 description = "Pure-Python RSA implementation"
-optional = false
+optional = true
 python-versions = ">=3.6,<4"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
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@@ -3670,6 +4798,8 @@ version = "0.5.7"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
+groups = ["lint"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
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@@ -3691,123 +4821,49 @@ files = [
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 ]
 
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+python-versions = ">=3.8"
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+markers = "extra == \"huggingface\""
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+]
+
+[package.dependencies]
+click = "*"
+joblib = "*"
+regex = "*"
+tqdm = "*"
+
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 [[package]]
@@ -3902,6 +5093,8 @@ version = "1.3.1"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev", "test", "typing"]
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@@ -3913,41 +5106,128 @@ version = "2.6"
 description = "A modern CSS selector implementation for Beautiful Soup."
 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
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 [[package]]
-name = "tabulate"
-version = "0.9.0"
-description = "Pretty-print tabular data"
-optional = false
-python-versions = ">=3.7"
+name = "sympy"
+version = "1.13.1"
+description = "Computer algebra system (CAS) in Python"
+optional = true
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\" or extra == \"huggingface\") and platform_machine == \"aarch64\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\")"
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 ]
 
+[package.dependencies]
+mpmath = ">=1.1.0,<1.4"
+
 [package.extras]
-widechars = ["wcwidth"]
+dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"]
 
 [[package]]
 name = "tenacity"
@@ -3955,6 +5235,8 @@ version = "9.0.0"
 description = "Retry code until it succeeds"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
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@@ -3966,13 +5248,15 @@ test = ["pytest", "tornado (>=4.5)", "typeguard"]
 
 [[package]]
 name = "timm"
-version = "1.0.11"
+version = "1.0.15"
 description = "PyTorch Image Models"
-optional = false
+optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
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 ]
 
 [package.dependencies]
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 jinja2 = "*"
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 [package.dependencies]
 numpy = "*"
 pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
-torch = "2.4.1"
+torch = "2.6.0"
 
 [package.extras]
 gdown = ["gdown (>=4.7.3)"]
@@ -4216,20 +5443,22 @@ scipy = ["scipy"]
 
 [[package]]
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+version = "4.67.1"
 description = "Fast, Extensible Progress Meter"
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+optional = true
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"csv\" or extra == \"doc\" or extra == \"docx\" or extra == \"epub\" or extra == \"image\" or extra == \"md\" or extra == \"odt\" or extra == \"org\" or extra == \"pdf\" or extra == \"ppt\" or extra == \"pptx\" or extra == \"rtf\" or extra == \"tsv\" or extra == \"xlsx\" or extra == \"huggingface\" or extra == \"local-inference\" or extra == \"paddleocr\") and platform_machine == \"aarch64\""
 files = [
-    {file = "tqdm-4.67.0-py3-none-any.whl", hash = "sha256:0cd8af9d56911acab92182e88d763100d4788bdf421d251616040cc4d44863be"},
-    {file = "tqdm-4.67.0.tar.gz", hash = "sha256:fe5a6f95e6fe0b9755e9469b77b9c3cf850048224ecaa8293d7d2d31f97d869a"},
+    {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
+    {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
 ]
 
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [package.extras]
-dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
+dev = ["nbval", "pytest (>=6)", "pytest-asyncio (>=0.24)", "pytest-cov", "pytest-timeout"]
 discord = ["requests"]
 notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
@@ -4237,39 +5466,41 @@ telegram = ["requests"]
 
 [[package]]
 name = "transformers"
-version = "4.46.3"
+version = "4.49.0"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
-optional = false
-python-versions = ">=3.8.0"
+optional = true
+python-versions = ">=3.9.0"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\" or extra == \"huggingface\") and platform_machine == \"aarch64\""
 files = [
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-    {file = "transformers-4.46.3.tar.gz", hash = "sha256:8ee4b3ae943fe33e82afff8e837f4b052058b07ca9be3cb5b729ed31295f72cc"},
+    {file = "transformers-4.49.0-py3-none-any.whl", hash = "sha256:6b4fded1c5fee04d384b1014495b4235a2b53c87503d7d592423c06128cbbe03"},
+    {file = "transformers-4.49.0.tar.gz", hash = "sha256:7e40e640b5b8dc3f48743f5f5adbdce3660c82baafbd3afdfc04143cdbd2089e"},
 ]
 
 [package.dependencies]
 filelock = "*"
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 numpy = ">=1.17"
 packaging = ">=20.0"
 pyyaml = ">=5.1"
 regex = "!=2019.12.17"
 requests = "*"
 safetensors = ">=0.4.1"
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 tqdm = ">=4.27"
 
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 accelerate = ["accelerate (>=0.26.0)"]
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 audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 benchmark = ["optimum-benchmark (>=0.3.0)"]
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 flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 ftfy = ["ftfy"]
@@ -4290,37 +5521,36 @@ serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
 sigopt = ["sigopt"]
 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
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 tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 tiktoken = ["blobfile", "tiktoken"]
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+video = ["av"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
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 name = "triton"
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 description = "A language and compiler for custom Deep Learning operations"
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+optional = true
 python-versions = "*"
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+    {file = "triton-3.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8009a1fb093ee8546495e96731336a33fb8856a38e45bb4ab6affd6dbc3ba220"},
+    {file = "triton-3.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8d9b215efc1c26fa7eefb9a157915c92d52e000d2bf83e5f69704047e63f125c"},
+    {file = "triton-3.2.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e5dfa23ba84541d7c0a531dfce76d8bcd19159d50a4a8b14ad01e91734a5c1b0"},
+    {file = "triton-3.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:30ceed0eff2c4a73b14eb63e052992f44bbdf175f3fad21e1ac8097a772de7ee"},
 ]
 
-[package.dependencies]
-filelock = "*"
-
 [package.extras]
 build = ["cmake (>=3.20)", "lit"]
 tests = ["autopep8", "flake8", "isort", "llnl-hatchet", "numpy", "pytest", "scipy (>=1.7.1)"]
@@ -4332,6 +5562,8 @@ version = "4.12.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
     {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
     {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
@@ -4343,6 +5575,8 @@ version = "0.9.0"
 description = "Runtime inspection utilities for typing module."
 optional = false
 python-versions = "*"
+groups = ["main", "dev", "test", "typing"]
+markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\""
 files = [
     {file = "typing_inspect-0.9.0-py3-none-any.whl", hash = "sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f"},
     {file = "typing_inspect-0.9.0.tar.gz", hash = "sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78"},
@@ -4354,24 +5588,28 @@ typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "tzdata"
-version = "2024.2"
+version = "2025.1"
 description = "Provider of IANA time zone data"
-optional = false
+optional = true
 python-versions = ">=2"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\" or extra == \"csv\" or extra == \"tsv\" or extra == \"xlsx\") and platform_machine == \"aarch64\""
 files = [
-    {file = "tzdata-2024.2-py2.py3-none-any.whl", hash = "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd"},
-    {file = "tzdata-2024.2.tar.gz", hash = "sha256:7d85cc416e9382e69095b7bdf4afd9e3880418a2413feec7069d533d6b4e31cc"},
+    {file = "tzdata-2025.1-py2.py3-none-any.whl", hash = "sha256:7e127113816800496f027041c570f50bcd464a020098a3b6b199517772303639"},
+    {file = "tzdata-2025.1.tar.gz", hash = "sha256:24894909e88cdb28bd1636c6887801df64cb485bd593f2fd83ef29075a81d694"},
 ]
 
 [[package]]
 name = "unstructured"
-version = "0.15.14"
+version = "0.16.23"
 description = "A library that prepares raw documents for downstream ML tasks."
-optional = false
-python-versions = "<3.13,>=3.9.0"
+optional = true
+python-versions = ">=3.9.0"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"csv\" or extra == \"doc\" or extra == \"docx\" or extra == \"epub\" or extra == \"image\" or extra == \"md\" or extra == \"odt\" or extra == \"org\" or extra == \"pdf\" or extra == \"ppt\" or extra == \"pptx\" or extra == \"rtf\" or extra == \"tsv\" or extra == \"xlsx\" or extra == \"huggingface\" or extra == \"local-inference\" or extra == \"paddleocr\") and platform_machine == \"aarch64\""
 files = [
-    {file = "unstructured-0.15.14-py3-none-any.whl", hash = "sha256:502903cbcc60844c82f5351a0bc2e77f00f16a144cb884ac44d2f175470a1df8"},
-    {file = "unstructured-0.15.14.tar.gz", hash = "sha256:876546c308c257314865996ce15745139c9fd4f79c7b4f09ad9d719d466b5b55"},
+    {file = "unstructured-0.16.23-py3-none-any.whl", hash = "sha256:edc87b84acdc52e7476d09b38fcc242842214750ba413096598a326af5550c28"},
+    {file = "unstructured-0.16.23.tar.gz", hash = "sha256:f0e18a504b12b21743695da2daa0bd70b07469a43af2f2aa04f10d38c1f11a58"},
 ]
 
 [package.dependencies]
@@ -4379,151 +5617,208 @@ backoff = "*"
 beautifulsoup4 = "*"
 chardet = "*"
 dataclasses-json = "*"
-effdet = {version = "*", optional = true, markers = "extra == \"all-docs\""}
+effdet = [
+    {version = "*", optional = true, markers = "extra == \"local-inference\""},
+    {version = "*", optional = true, markers = "extra == \"pdf\""},
+    {version = "*", optional = true, markers = "extra == \"image\""},
+    {version = "*", optional = true, markers = "extra == \"all-docs\""},
+]
 emoji = "*"
 filetype = "*"
-google-cloud-vision = {version = "*", optional = true, markers = "extra == \"all-docs\""}
+google-cloud-vision = [
+    {version = "*", optional = true, markers = "extra == \"local-inference\""},
+    {version = "*", optional = true, markers = "extra == \"pdf\""},
+    {version = "*", optional = true, markers = "extra == \"image\""},
+    {version = "*", optional = true, markers = "extra == \"all-docs\""},
+]
+html5lib = "*"
 langdetect = "*"
 lxml = "*"
-markdown = {version = "*", optional = true, markers = "extra == \"all-docs\""}
-networkx = {version = "*", optional = true, markers = "extra == \"all-docs\""}
+markdown = [
+    {version = "*", optional = true, markers = "extra == \"local-inference\""},
+    {version = "*", optional = true, markers = "extra == \"md\""},
+    {version = "*", optional = true, markers = "extra == \"all-docs\""},
+]
+networkx = [
+    {version = "*", optional = true, markers = "extra == \"local-inference\""},
+    {version = "*", optional = true, markers = "extra == \"xlsx\""},
+    {version = "*", optional = true, markers = "extra == \"all-docs\""},
+]
 nltk = "*"
 numpy = "<2"
-onnx = {version = "*", optional = true, markers = "extra == \"all-docs\""}
-openpyxl = {version = "*", optional = true, markers = "extra == \"all-docs\""}
-pandas = {version = "*", optional = true, markers = "extra == \"all-docs\""}
-pdf2image = {version = "*", optional = true, markers = "extra == \"all-docs\""}
-"pdfminer.six" = {version = "*", optional = true, markers = "extra == \"all-docs\""}
-pi-heif = {version = "*", optional = true, markers = "extra == \"all-docs\""}
-pikepdf = {version = "*", optional = true, markers = "extra == \"all-docs\""}
+onnx = [
+    {version = "*", optional = true, markers = "extra == \"local-inference\""},
+    {version = "*", optional = true, markers = "extra == \"pdf\""},
+    {version = "*", optional = true, markers = "extra == \"image\""},
+    {version = "*", optional = true, markers = "extra == \"all-docs\""},
+]
+openpyxl = [
+    {version = "*", optional = true, markers = "extra == \"local-inference\""},
+    {version = "*", optional = true, markers = "extra == \"xlsx\""},
+    {version = "*", optional = true, markers = "extra == \"all-docs\""},
+]
+pandas = [
+    {version = "*", optional = true, markers = "extra == \"local-inference\""},
+    {version = "*", optional = true, markers = "extra == \"xlsx\""},
+    {version = "*", optional = true, markers = "extra == \"tsv\""},
+    {version = "*", optional = true, markers = "extra == \"csv\""},
+    {version = "*", optional = true, markers = "extra == \"all-docs\""},
+]
+pdf2image = [
+    {version = "*", optional = true, markers = "extra == \"local-inference\""},
+    {version = "*", optional = true, markers = "extra == \"pdf\""},
+    {version = "*", optional = true, markers = "extra == \"image\""},
+    {version = "*", optional = true, markers = "extra == \"all-docs\""},
+]
+"pdfminer.six" = [
+    {version = "*", optional = true, markers = "extra == \"local-inference\""},
+    {version = "*", optional = true, markers = "extra == \"pdf\""},
+    {version = "*", optional = true, markers = "extra == \"image\""},
+    {version = "*", optional = true, markers = "extra == \"all-docs\""},
+]
+pi-heif = [
+    {version = "*", optional = true, markers = "extra == \"local-inference\""},
+    {version = "*", optional = true, markers = "extra == \"pdf\""},
+    {version = "*", optional = true, markers = "extra == \"image\""},
+    {version = "*", optional = true, markers = "extra == \"all-docs\""},
+]
+pikepdf = [
+    {version = "*", optional = true, markers = "extra == \"local-inference\""},
+    {version = "*", optional = true, markers = "extra == \"pdf\""},
+    {version = "*", optional = true, markers = "extra == \"image\""},
+    {version = "*", optional = true, markers = "extra == \"all-docs\""},
+]
 psutil = "*"
-pypandoc = {version = "*", optional = true, markers = "extra == \"all-docs\""}
-pypdf = {version = "*", optional = true, markers = "extra == \"all-docs\""}
-python-docx = {version = ">=1.1.2", optional = true, markers = "extra == \"all-docs\""}
+pypandoc = [
+    {version = "*", optional = true, markers = "extra == \"local-inference\""},
+    {version = "*", optional = true, markers = "extra == \"rtf\""},
+    {version = "*", optional = true, markers = "extra == \"org\""},
+    {version = "*", optional = true, markers = "extra == \"odt\""},
+    {version = "*", optional = true, markers = "extra == \"epub\""},
+    {version = "*", optional = true, markers = "extra == \"all-docs\""},
+]
+pypdf = [
+    {version = "*", optional = true, markers = "extra == \"local-inference\""},
+    {version = "*", optional = true, markers = "extra == \"pdf\""},
+    {version = "*", optional = true, markers = "extra == \"image\""},
+    {version = "*", optional = true, markers = "extra == \"all-docs\""},
+]
+python-docx = [
+    {version = ">=1.1.2", optional = true, markers = "extra == \"local-inference\""},
+    {version = ">=1.1.2", optional = true, markers = "extra == \"odt\""},
+    {version = ">=1.1.2", optional = true, markers = "extra == \"docx\""},
+    {version = ">=1.1.2", optional = true, markers = "extra == \"doc\""},
+    {version = ">=1.1.2", optional = true, markers = "extra == \"all-docs\""},
+]
 python-iso639 = "*"
 python-magic = "*"
 python-oxmsg = "*"
-python-pptx = {version = ">=1.0.1", optional = true, markers = "extra == \"all-docs\""}
+python-pptx = [
+    {version = ">=1.0.1", optional = true, markers = "extra == \"local-inference\""},
+    {version = ">=1.0.1", optional = true, markers = "extra == \"pptx\""},
+    {version = ">=1.0.1", optional = true, markers = "extra == \"ppt\""},
+    {version = ">=1.0.1", optional = true, markers = "extra == \"all-docs\""},
+]
 rapidfuzz = "*"
 requests = "*"
-tabulate = "*"
+sacremoses = {version = "*", optional = true, markers = "extra == \"huggingface\""}
+sentencepiece = {version = "*", optional = true, markers = "extra == \"huggingface\""}
+torch = {version = "*", optional = true, markers = "extra == \"huggingface\""}
 tqdm = "*"
+transformers = {version = "*", optional = true, markers = "extra == \"huggingface\""}
 typing-extensions = "*"
 unstructured-client = "*"
-unstructured-inference = {version = "0.7.36", optional = true, markers = "extra == \"all-docs\""}
-"unstructured.pytesseract" = {version = ">=0.3.12", optional = true, markers = "extra == \"all-docs\""}
+unstructured-inference = [
+    {version = ">=0.8.7", optional = true, markers = "extra == \"local-inference\""},
+    {version = ">=0.8.7", optional = true, markers = "extra == \"pdf\""},
+    {version = ">=0.8.7", optional = true, markers = "extra == \"image\""},
+    {version = ">=0.8.7", optional = true, markers = "extra == \"all-docs\""},
+]
+"unstructured.pytesseract" = [
+    {version = ">=0.3.12", optional = true, markers = "extra == \"local-inference\""},
+    {version = ">=0.3.12", optional = true, markers = "extra == \"pdf\""},
+    {version = ">=0.3.12", optional = true, markers = "extra == \"image\""},
+    {version = ">=0.3.12", optional = true, markers = "extra == \"all-docs\""},
+]
 wrapt = "*"
-xlrd = {version = "*", optional = true, markers = "extra == \"all-docs\""}
+xlrd = [
+    {version = "*", optional = true, markers = "extra == \"local-inference\""},
+    {version = "*", optional = true, markers = "extra == \"xlsx\""},
+    {version = "*", optional = true, markers = "extra == \"all-docs\""},
+]
 
 [package.extras]
-airtable = ["pyairtable"]
-all-docs = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (==0.7.36)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
-astradb = ["astrapy"]
-azure = ["adlfs", "fsspec"]
-azure-cognitive-search = ["azure-search-documents"]
-bedrock = ["boto3", "langchain-community"]
-biomed = ["bs4"]
-box = ["boxfs", "fsspec"]
-chroma = ["chromadb (>0.4.14)", "importlib-metadata (>=8.2.0)", "tenacity (==8.5.0)", "typer (<=0.9.0)"]
-clarifai = ["clarifai"]
-confluence = ["atlassian-python-api"]
+all-docs = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (>=0.8.7)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
 csv = ["pandas"]
-databricks-volumes = ["databricks-sdk"]
-delta-table = ["deltalake (<=0.19.1)", "fsspec"]
-discord = ["discord-py"]
 doc = ["python-docx (>=1.1.2)"]
 docx = ["python-docx (>=1.1.2)"]
-dropbox = ["dropboxdrivefs", "fsspec"]
-elasticsearch = ["elasticsearch[async]"]
-embed-huggingface = ["langchain-huggingface"]
-embed-mixedbreadai = ["mixedbread-ai"]
-embed-octoai = ["openai", "tiktoken"]
-embed-vertexai = ["langchain", "langchain-community", "langchain-google-vertexai"]
-embed-voyageai = ["langchain", "langchain-voyageai"]
 epub = ["pypandoc"]
-gcs = ["bs4", "fsspec", "gcsfs"]
-github = ["pygithub (>1.58.0)"]
-gitlab = ["python-gitlab"]
-google-drive = ["google-api-python-client"]
-hubspot = ["hubspot-api-client", "urllib3"]
 huggingface = ["langdetect", "sacremoses", "sentencepiece", "torch", "transformers"]
-image = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (==0.7.36)", "unstructured.pytesseract (>=0.3.12)"]
-jira = ["atlassian-python-api"]
-kafka = ["confluent-kafka"]
-local-inference = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (==0.7.36)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
+image = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (>=0.8.7)", "unstructured.pytesseract (>=0.3.12)"]
+local-inference = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (>=0.8.7)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
 md = ["markdown"]
-mongodb = ["pymongo"]
-notion = ["htmlBuilder", "notion-client"]
 odt = ["pypandoc", "python-docx (>=1.1.2)"]
-onedrive = ["Office365-REST-Python-Client", "bs4", "msal"]
-openai = ["langchain-openai"]
-opensearch = ["opensearch-py"]
 org = ["pypandoc"]
-outlook = ["Office365-REST-Python-Client", "msal"]
 paddleocr = ["paddlepaddle (==3.0.0b1)", "unstructured.paddleocr (==2.8.1.0)"]
-pdf = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (==0.7.36)", "unstructured.pytesseract (>=0.3.12)"]
-pinecone = ["pinecone-client (>=3.7.1)"]
-postgres = ["psycopg2-binary"]
+pdf = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (>=0.8.7)", "unstructured.pytesseract (>=0.3.12)"]
 ppt = ["python-pptx (>=1.0.1)"]
 pptx = ["python-pptx (>=1.0.1)"]
-qdrant = ["qdrant-client"]
-reddit = ["praw"]
 rst = ["pypandoc"]
 rtf = ["pypandoc"]
-s3 = ["fsspec", "s3fs"]
-salesforce = ["simple-salesforce"]
-sftp = ["fsspec", "paramiko"]
-sharepoint = ["Office365-REST-Python-Client", "msal"]
-singlestore = ["singlestoredb"]
-slack = ["slack-sdk"]
 tsv = ["pandas"]
-weaviate = ["weaviate-client"]
-wikipedia = ["wikipedia"]
 xlsx = ["networkx", "openpyxl", "pandas", "xlrd"]
 
 [[package]]
 name = "unstructured-client"
-version = "0.27.0"
+version = "0.30.5"
 description = "Python Client SDK for Unstructured API"
-optional = false
-python-versions = "<4.0,>=3.8"
+optional = true
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"csv\" or extra == \"doc\" or extra == \"docx\" or extra == \"epub\" or extra == \"image\" or extra == \"md\" or extra == \"odt\" or extra == \"org\" or extra == \"pdf\" or extra == \"ppt\" or extra == \"pptx\" or extra == \"rtf\" or extra == \"tsv\" or extra == \"xlsx\" or extra == \"huggingface\" or extra == \"local-inference\" or extra == \"paddleocr\" or extra == \"client\") and platform_machine == \"aarch64\""
 files = [
-    {file = "unstructured_client-0.27.0-py3-none-any.whl", hash = "sha256:e6413df1e2a4de36b78701369da83456e3a0b7b7cb9d1995c04ef55a1c9a8def"},
-    {file = "unstructured_client-0.27.0.tar.gz", hash = "sha256:6eac20457205d61544d0cb8572a113d83ac61f8dda6fcec20a0a0c6259f256b6"},
+    {file = "unstructured_client-0.30.5-py3-none-any.whl", hash = "sha256:343e935a7be97f887715d93d3281e2e9decdf025973daccc0ec585999b110ece"},
+    {file = "unstructured_client-0.30.5.tar.gz", hash = "sha256:ed11a3a2b1f32a9211528b1da3984316341448ac3434dcfee61e260db6e42d00"},
 ]
 
 [package.dependencies]
+aiofiles = ">=24.1.0"
 cryptography = ">=3.1"
-eval-type-backport = ">=0.2.0,<0.3.0"
+eval-type-backport = ">=0.2.0"
 httpx = ">=0.27.0"
-jsonpath-python = ">=1.0.6,<2.0.0"
 nest-asyncio = ">=1.6.0"
-pydantic = ">=2.9.2,<2.10.0"
+pydantic = ">=2.10.3"
 pypdf = ">=4.0"
-python-dateutil = "2.8.2"
+python-dateutil = ">=2.8.2"
 requests-toolbelt = ">=1.0.0"
-typing-inspect = ">=0.9.0,<0.10.0"
+typing-inspect = ">=0.9.0"
 
 [[package]]
 name = "unstructured-inference"
-version = "0.7.36"
+version = "0.8.7"
 description = "A library for performing inference using trained models."
-optional = false
+optional = true
 python-versions = ">=3.7.0"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
-    {file = "unstructured_inference-0.7.36-py3-none-any.whl", hash = "sha256:6e59c2226c0d049d8e78e102d95bba1a126e14ede4d40494a72ef82ecf7fb64f"},
-    {file = "unstructured_inference-0.7.36.tar.gz", hash = "sha256:0b998b311c6156df021d309147b724de4f88f80ef17d8328dfc37eedab67d82a"},
+    {file = "unstructured_inference-0.8.7-py3-none-any.whl", hash = "sha256:a470b166981b3a6e1252da55fb6f40aa1f4711d59c9498867ebc90ec87c8039d"},
+    {file = "unstructured_inference-0.8.7.tar.gz", hash = "sha256:0bb39127ca44e3ce0b5d85328d161a6ebff254c4eb9f90cc76b17e637283da5a"},
 ]
 
 [package.dependencies]
 huggingface-hub = "*"
-layoutparser = "*"
 matplotlib = "*"
+numpy = "<2"
 onnx = "*"
 onnxruntime = ">=1.17.0"
 opencv-python = "!=4.7.0.68"
+pandas = "*"
+pdfminer-six = "20240706"
+pypdfium2 = "*"
 python-multipart = "*"
 rapidfuzz = "*"
+scipy = "*"
 timm = "*"
 torch = "*"
 transformers = ">=4.25.1"
@@ -4532,8 +5827,10 @@ transformers = ">=4.25.1"
 name = "unstructured-pytesseract"
 version = "0.3.13"
 description = "Python-tesseract is a python wrapper for Google's Tesseract-OCR"
-optional = false
+optional = true
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"image\" or extra == \"pdf\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
 files = [
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@@ -4545,106 +5842,134 @@ Pillow = ">=8.0.0"
 
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 name = "urllib3"
-version = "2.2.3"
+version = "2.3.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main", "dev", "test", "typing"]
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 h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
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 [[package]]
 name = "xlrd"
 version = "2.0.1"
 description = "Library for developers to extract data from Microsoft Excel (tm) .xls spreadsheet files"
-optional = false
+optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+groups = ["main"]
+markers = "platform_system == \"Linux\" and (extra == \"all-docs\" or extra == \"xlsx\" or extra == \"local-inference\") and platform_machine == \"aarch64\""
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@@ -4657,38 +5982,272 @@ test = ["pytest", "pytest-cov"]
 
 [[package]]
 name = "xlsxwriter"
-version = "3.2.0"
+version = "3.2.2"
 description = "A Python module for creating Excel XLSX files."
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+optional = true
 python-versions = ">=3.6"
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+
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+    {file = "zstandard-0.23.0.tar.gz", hash = "sha256:b2d8c62d08e7255f68f7a740bae85b3c9b8e5466baa9cbf7f57f1cde0ac6bc09"},
+]
+
+[package.dependencies]
+cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\""}
+
+[package.extras]
+cffi = ["cffi (>=1.11)"]
+
 [extras]
-local = ["unstructured"]
+all-docs = ["unstructured"]
+client = ["unstructured-client"]
+csv = ["unstructured"]
+doc = ["unstructured"]
+docx = ["unstructured"]
+epub = ["unstructured"]
+huggingface = ["unstructured"]
+image = ["unstructured"]
+local-inference = ["unstructured"]
+md = ["unstructured"]
+odt = ["unstructured"]
+org = ["unstructured"]
+paddleocr = ["unstructured"]
+pdf = ["unstructured"]
+ppt = ["unstructured"]
+pptx = ["unstructured"]
+rtf = ["unstructured"]
+tsv = ["unstructured"]
+xlsx = ["unstructured"]
 
 [metadata]
-lock-version = "2.0"
+lock-version = "2.1"
 python-versions = ">=3.9,<4.0"
-content-hash = "31f28f97214d623d4b748e87572d17912becf57e136532c19a43a009599b17ed"
+content-hash = "a2b61a12dba4e6a385e51191bbaa4825255cdf88aad96a9e15e33afea6c33f45"
diff --git a/libs/unstructured/pyproject.toml b/libs/unstructured/pyproject.toml
index a1c91ff..02fb30e 100644
--- a/libs/unstructured/pyproject.toml
+++ b/libs/unstructured/pyproject.toml
@@ -1,27 +1,45 @@
-[tool.poetry]
+[project]
 name = "langchain-unstructured"
-version = "0.1.6"
+requires-python = ">=3.9,<4.0"
+version = "0.1.7"
 description = "An integration package connecting Unstructured and LangChain"
 authors = []
 readme = "README.md"
-repository = "https://github.com/langchain-ai/langchain-unstructured"
 license = "MIT"
+dependencies = [
+    "langchain-core>=0.3.40",
+    "langchain-community>=0.3.18",
+    "markdownify>=1.0",
+]
 
-[tool.poetry.urls]
-"Source Code" = "https://github.com/langchain-ai/langchain-unstructured/tree/main/libs/unstructured"
+[project.urls]
+homepage = "https://github.com/langchain-ai/langchain-unstructured/"
+repository = "https://github.com/langchain-ai/langchain-unstructured/"
+documentation = "https://github.com/langchain-ai/langchain-unstructured/"
+"Bug Tracker" = "https://github.com/langchain-ai/langchain-unstructured/issues"
+"Source Code" = "https://github.com/langchain-ai/langchain-unstructured/"
 "Release Notes" = "https://github.com/langchain-ai/langchain-unstructured/releases"
 
-[tool.poetry.dependencies]
-python = ">=3.9,<4.0"
-langchain-core = "^0.3.6"
-onnxruntime = ">=1.17.0,<=1.19.2"
-unstructured-client = { version = ">=0.27.0,<1" }
-unstructured = { version = "^0.15.7", optional = true, python = "<3.13", extras = [
-  "all-docs",
-] }
-
-[tool.poetry.extras]
-local = ["unstructured"]
+[project.optional-dependencies]
+all_docs = ["unstructured[all_docs] (>=0.16.23)"]
+csv = ["unstructured[csv] (>=0.16.23)"]
+doc = ["unstructured[doc] (>=0.16.23)"]
+docx = ["unstructured[docx] (>=0.16.23)"]
+epub = ["unstructured[epub] (>=0.16.23)"]
+image = ["unstructured[image] (>=0.16.23)"]
+md = ["unstructured[md] (>=0.16.23)"]
+odt = ["unstructured[odt] (>=0.16.23)"]
+org = ["unstructured[org] (>=0.16.23)"]
+pdf = ["unstructured[pdf] (>=0.16.23)"]
+ppt = ["unstructured[ppt] (>=0.16.23)"]
+pptx = ["unstructured[pptx] (>=0.16.23)"]
+rtf = ["unstructured[rtf] (>=0.16.23)"]
+tsv = ["unstructured[tsv] (>=0.16.23)"]
+xlsx = ["unstructured[xlsx] (>=0.16.23)"]
+huggingface = ["unstructured[huggingface] (>=0.16.23)"]
+local-inference = ["unstructured[local-inference] (>=0.16.23)"]
+paddleocr = ["unstructured[paddleocre] (>=0.16.23)"]
+client = ["unstructured-client>=0.30.5,<1"]
 
 [tool.poetry.group.test]
 optional = true
@@ -31,8 +49,9 @@ pytest = "^7.4.3"
 pytest-asyncio = "^0.23.2"
 pytest-socket = "^0.7.0"
 # TODO: hack to fix 3.9 builds
-cffi = [{version = "<1.17.1", python="<3.10"}, {version = "*", python=">=3.10"}]
+cffi = [{ version = "<1.17.1", python = "<3.10" }, { version = "*", python = ">=3.10" }]
 langchain-core = {git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/core"}
+langchain-community = {git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/community"}
 
 [tool.poetry.group.codespell]
 optional = true
@@ -51,18 +70,20 @@ optional = true
 [tool.poetry.group.lint.dependencies]
 ruff = "^0.5"
 # TODO: hack to fix 3.9 builds
-cffi = [{version = "<1.17.1", python="<3.10"}, {version = "*", python=">=3.10"}]
+cffi = [{ version = "<1.17.1", python = "<3.10" }, { version = "*", python = ">=3.10" }]
 
 [tool.poetry.group.typing.dependencies]
 mypy = "^1.7.1"
-unstructured = { version = "^0.15.7", python = "<3.13", extras = ["all-docs"] }
+#unstructured = { version = "^0.16.23", extras = ["all-docs"] }
 langchain-core = {git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/core"}
+langchain-community = {git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/community"}
 
 [tool.poetry.group.dev]
 optional = true
 
 [tool.poetry.group.dev.dependencies]
-langchain-core = {git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/core"}
+langchain-core = { git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/core" }
+langchain-community = { git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/community" }
 
 [tool.ruff.lint]
 select = [
@@ -79,7 +100,7 @@ disallow_untyped_defs = "True"
 omit = ["tests/*"]
 
 [build-system]
-requires = ["poetry-core>=1.0.0"]
+requires = ["poetry-core>=2.0.0"]
 build-backend = "poetry.core.masonry.api"
 
 [tool.pytest.ini_options]
@@ -96,7 +117,8 @@ addopts = "--strict-markers --strict-config --durations=5"
 # Registering custom markers.
 # https://docs.pytest.org/en/7.1.x/example/markers.html#registering-markers
 markers = [
-  "compile: mark placeholder test used to compile integration tests without running them",
-  "local: mark tests as requiring a local install, which isn't compatible with CI currently",
+    "compile: mark placeholder test used to compile integration tests without running them",
+    "local: mark tests as requiring a local install, which isn't compatible with CI currently",
 ]
 asyncio_mode = "auto"
+
diff --git a/libs/unstructured/tests/integration_tests/conftest.py b/libs/unstructured/tests/integration_tests/conftest.py
new file mode 100644
index 0000000..02b518e
--- /dev/null
+++ b/libs/unstructured/tests/integration_tests/conftest.py
@@ -0,0 +1,19 @@
+# Getting the absolute path of the current file's directory
+import os
+
+ABS_PATH = os.path.dirname(os.path.abspath(__file__))
+
+# Getting the absolute path of the project's root directory
+PROJECT_DIR = os.path.abspath(os.path.join(ABS_PATH, os.pardir, os.pardir))
+
+
+# Loading the .env file if it exists
+def _load_env() -> None:
+    dotenv_path = os.path.join(PROJECT_DIR, "tests", "integration_tests", ".env")
+    if os.path.exists(dotenv_path):
+        from dotenv import load_dotenv
+
+        load_dotenv(dotenv_path)
+
+
+_load_env()
diff --git a/libs/unstructured/tests/integration_tests/test_document_loaders.py b/libs/unstructured/tests/integration_tests/test_document_loaders.py
index ca006dc..99f3be6 100644
--- a/libs/unstructured/tests/integration_tests/test_document_loaders.py
+++ b/libs/unstructured/tests/integration_tests/test_document_loaders.py
@@ -5,12 +5,39 @@
 import pytest
 from langchain_core.documents import Document
 
-from langchain_unstructured import UnstructuredLoader
+from langchain_unstructured import UnstructuredLoader, UnstructuredPDFLoader
 
-EXAMPLE_DOCS_DIRECTORY = str(Path(__file__).parent.parent.parent / "example_docs/")
+EXAMPLE_DOCS_DIRECTORY = Path(__file__).parent.parent.parent / "example_docs/"
 UNSTRUCTURED_API_KEY = os.getenv("UNSTRUCTURED_API_KEY")
 
 
+def test_unstructured_pdf_loader_elements_mode() -> None:
+    """Test unstructured loader with various modes."""
+    file_path = EXAMPLE_DOCS_DIRECTORY / "hello.pdf"
+    loader = UnstructuredPDFLoader(file_path, mode="elements")
+    docs = loader.load()
+
+    assert len(docs) == 2
+
+
+def test_unstructured_pdf_loader_page_mode() -> None:
+    """Test unstructured loader with various modes."""
+    file_path = EXAMPLE_DOCS_DIRECTORY / "layout-parser-paper.pdf"
+    loader = UnstructuredPDFLoader(file_path, mode="page")
+    docs = loader.load()
+
+    assert len(docs) == 16
+
+
+def test_unstructured_pdf_loader_default_mode() -> None:
+    """Test unstructured loader."""
+    file_path = EXAMPLE_DOCS_DIRECTORY / "hello.pdf"
+    loader = UnstructuredPDFLoader(file_path)
+    docs = loader.load()
+
+    assert len(docs) == 1
+
+
 def _check_docs_content(docs: List[Document]) -> None:
     assert all(
         doc.metadata.get("filename") == "layout-parser-paper.pdf" for doc in docs
@@ -34,10 +61,11 @@ def _check_docs_content(docs: List[Document]) -> None:
         else:
             assert doc.metadata.get("category") == "PageBreak"
 
-    page_numbers = []
-    for doc in docs:
-        if page_number := doc.metadata.get("page_number"):
-            page_numbers.append(page_number)
+    page_numbers = [
+        doc.metadata.get("page_number")
+        for doc in docs
+        if doc.metadata.get("page_number")
+    ]
 
     assert set(page_numbers) == set(range(1, 17))
     assert len(docs) >= 32  # (16 pages * (>=1 element per page) + 16 page breaks)
@@ -51,7 +79,7 @@ def _check_docs_content(docs: List[Document]) -> None:
         "Based Document Image Analysis"
     ) in page_1_content
 
-    categories = set(doc.metadata.get("category") for doc in docs)
+    categories = {doc.metadata.get("category") for doc in docs}
     assert "NarrativeText" in categories
     assert "Title" in categories
 
@@ -61,7 +89,7 @@ def _check_docs_content(docs: List[Document]) -> None:
 
 @pytest.mark.local
 def test_loader_partitions_locally() -> None:
-    file_path = os.path.join(EXAMPLE_DOCS_DIRECTORY, "layout-parser-paper.pdf")
+    file_path = EXAMPLE_DOCS_DIRECTORY / "layout-parser-paper.pdf"
 
     docs = UnstructuredLoader(
         file_path=file_path,
@@ -75,7 +103,7 @@ def test_loader_partitions_locally() -> None:
 
 @pytest.mark.local
 async def test_loader_partitions_locally_async_lazy() -> None:
-    file_path = os.path.join(EXAMPLE_DOCS_DIRECTORY, "layout-parser-paper.pdf")
+    file_path = EXAMPLE_DOCS_DIRECTORY / "layout-parser-paper.pdf"
 
     loader = UnstructuredLoader(
         file_path=file_path,
@@ -83,16 +111,14 @@ async def test_loader_partitions_locally_async_lazy() -> None:
         strategy="fast",
         include_page_breaks=True,
     )
-    docs = []
-    async for doc in loader.alazy_load():
-        docs.append(doc)
+    docs = [doc async for doc in loader.alazy_load()]
 
     _check_docs_content(docs)
 
 
 @pytest.mark.local
 def test_loader_partition_ignores_invalid_arg() -> None:
-    file_path = os.path.join(EXAMPLE_DOCS_DIRECTORY, "layout-parser-paper.pdf")
+    file_path = EXAMPLE_DOCS_DIRECTORY / "layout-parser-paper.pdf"
 
     docs = UnstructuredLoader(
         file_path=file_path,
@@ -112,7 +138,7 @@ def test_loader_partition_ignores_invalid_arg() -> None:
 def test_loader_partitions_locally_and_applies_post_processors(
     get_post_processor: Callable[[str], str],
 ) -> None:
-    file_path = os.path.join(EXAMPLE_DOCS_DIRECTORY, "layout-parser-paper.pdf")
+    file_path = EXAMPLE_DOCS_DIRECTORY / "layout-parser-paper.pdf"
     loader = UnstructuredLoader(
         file_path=file_path,
         post_processors=[get_post_processor],
@@ -139,8 +165,11 @@ def test_url_loader() -> None:
 # -- API partition --
 
 
+@pytest.mark.skipif(
+    not os.environ.get("UNSTRUCTURED_API_KEY"), reason="Unstructured API key not found"
+)
 def test_loader_partitions_via_api() -> None:
-    file_path = os.path.join(EXAMPLE_DOCS_DIRECTORY, "layout-parser-paper.pdf")
+    file_path = EXAMPLE_DOCS_DIRECTORY / "layout-parser-paper.pdf"
     loader = UnstructuredLoader(
         file_path=file_path,
         partition_via_api=True,
@@ -155,8 +184,11 @@ def test_loader_partitions_via_api() -> None:
     _check_docs_content(docs)
 
 
+@pytest.mark.skipif(
+    not os.environ.get("UNSTRUCTURED_API_KEY"), reason="Unstructured API key not found"
+)
 async def test_loader_partitions_via_api_async_lazy() -> None:
-    file_path = os.path.join(EXAMPLE_DOCS_DIRECTORY, "layout-parser-paper.pdf")
+    file_path = EXAMPLE_DOCS_DIRECTORY / "layout-parser-paper.pdf"
     loader = UnstructuredLoader(
         file_path=file_path,
         partition_via_api=True,
@@ -166,17 +198,18 @@ async def test_loader_partitions_via_api_async_lazy() -> None:
         coordinates=True,
     )
 
-    docs = []
-    async for doc in loader.alazy_load():
-        docs.append(doc)
+    docs = [doc async for doc in loader.alazy_load()]
 
     _check_docs_content(docs)
 
 
+@pytest.mark.skipif(
+    not os.environ.get("UNSTRUCTURED_API_KEY"), reason="Unstructured API key not found"
+)
 def test_loader_partitions_multiple_via_api() -> None:
     file_paths = [
-        os.path.join(EXAMPLE_DOCS_DIRECTORY, "layout-parser-paper.pdf"),
-        os.path.join(EXAMPLE_DOCS_DIRECTORY, "fake-email-attachment.eml"),
+        EXAMPLE_DOCS_DIRECTORY / "layout-parser-paper.pdf",
+        EXAMPLE_DOCS_DIRECTORY / "fake-email-attachment.eml",
     ]
     loader = UnstructuredLoader(
         file_path=file_paths,
@@ -193,20 +226,31 @@ def test_loader_partitions_multiple_via_api() -> None:
     assert docs[-1].metadata.get("filename") == "fake-email-attachment.eml"
 
 
-def test_loader_partition_via_api_ignores_invalid_arg() -> None:
-    file_path = os.path.join(EXAMPLE_DOCS_DIRECTORY, "fake-email-attachment.eml")
-    loader = UnstructuredLoader(
+@pytest.mark.skipif(
+    not os.environ.get("UNSTRUCTURED_API_KEY"), reason="Unstructured API key not found"
+)
+def test_loader_pdf_partitions_multiple_via_api() -> None:
+    file_path = EXAMPLE_DOCS_DIRECTORY / "layout-parser-paper.pdf"
+    loader = UnstructuredPDFLoader(
         file_path=file_path,
         api_key=UNSTRUCTURED_API_KEY,
         partition_via_api=True,
-        mode="elements",  # mode is no longer a valid argument and is ignored
+        mode="elements",
+        # Unstructured kwargs
+        strategy="fast",
     )
 
-    loader.load()
+    docs = loader.load()
+
+    assert len(docs) > 1
+    assert docs[0].metadata.get("filename") == "layout-parser-paper.pdf"
 
 
+@pytest.mark.skipif(
+    not os.environ.get("UNSTRUCTURED_API_KEY"), reason="Unstructured API key not found"
+)
 def test_loader_partitions_via_api_hi_res() -> None:
-    file_path = os.path.join(EXAMPLE_DOCS_DIRECTORY, "layout-parser-paper.pdf")
+    file_path = EXAMPLE_DOCS_DIRECTORY / "layout-parser-paper.pdf"
     loader = UnstructuredLoader(
         file_path=file_path,
         partition_via_api=True,
@@ -216,7 +260,7 @@ def test_loader_partitions_via_api_hi_res() -> None:
 
     docs = loader.load()
 
-    categories: set[str] = set(doc.metadata.get("category") for doc in docs)
+    categories = {doc.metadata.get("category") for doc in docs}
     assert "Table" in categories
     assert "Image" in categories
 
diff --git a/libs/unstructured/tests/integration_tests/test_parser.py b/libs/unstructured/tests/integration_tests/test_parser.py
new file mode 100644
index 0000000..dccec24
--- /dev/null
+++ b/libs/unstructured/tests/integration_tests/test_parser.py
@@ -0,0 +1,314 @@
+"""Tests for the various PDF parsers."""
+
+import os
+import re
+from pathlib import Path
+from typing import Iterator
+
+import numpy as np
+import pytest
+from langchain_community.document_loaders.base import BaseBlobParser
+from langchain_community.document_loaders.blob_loaders import Blob
+from langchain_community.document_loaders.parsers import BaseImageBlobParser
+
+import langchain_unstructured as pdf_unstructured
+import langchain_unstructured as pdf_parsers
+from langchain_unstructured import UnstructuredPDFParser
+
+# PDFs to test parsers on.
+EXAMPLE_DOCS_DIRECTORY = Path(__file__).parent.parent.parent / "example_docs/"
+
+HELLO_PDF = EXAMPLE_DOCS_DIRECTORY / "hello.pdf"
+
+LAYOUT_PARSER_PAPER_PDF = EXAMPLE_DOCS_DIRECTORY / "layout-parser-paper.pdf"
+
+LAYOUT_PARSER_PAPER_PASSWORD_PDF = (
+    EXAMPLE_DOCS_DIRECTORY / "layout-parser-paper-password.pdf"
+)
+
+DUPLICATE_CHARS = EXAMPLE_DOCS_DIRECTORY / "duplicate-chars.pdf"
+
+class EmptyImageBlobParser(BaseImageBlobParser):
+    def _analyze_image(self, img: "Image") -> str:
+        return "Hello world"
+
+def _assert_with_parser(parser: BaseBlobParser, splits_by_page: bool = True) -> None:
+    """Standard tests to verify that the given parser works.
+
+    Args:
+        parser (BaseBlobParser): The parser to test.
+        splits_by_page (bool): Whether the parser splits by page or not by default.
+    """
+    blob = Blob.from_path(HELLO_PDF)
+    doc_generator = parser.lazy_parse(blob)
+    assert isinstance(doc_generator, Iterator)
+    docs = list(doc_generator)
+    assert len(docs) == 1
+    page_content = docs[0].page_content
+    assert isinstance(page_content, str)
+    # The different parsers return different amount of whitespace, so using
+    # startswith instead of equals.
+    assert re.findall(r"Hello\s+world!", docs[0].page_content)
+
+    blob = Blob.from_path(LAYOUT_PARSER_PAPER_PDF)
+    doc_generator = parser.lazy_parse(blob)
+    assert isinstance(doc_generator, Iterator)
+    docs = list(doc_generator)
+
+    if splits_by_page:
+        assert len(docs) == 16
+    else:
+        assert len(docs) == 1
+    # Test is imprecise since the parsers yield different parse information depending
+    # on configuration. Each parser seems to yield a slightly different result
+    # for this page!
+    assert "LayoutParser" in docs[0].page_content
+    metadata = docs[0].metadata
+
+    assert metadata["source"] == str(LAYOUT_PARSER_PAPER_PDF)
+
+    if splits_by_page:
+        assert metadata["page"] == 0
+
+
+def _assert_with_duplicate_parser(parser: BaseBlobParser, dedupe: bool = False) -> None:
+    """PDFPlumber tests to verify that duplicate characters appear or not
+    Args:
+        parser (BaseBlobParser): The parser to test.
+        splits_by_page (bool): Whether the parser splits by page or not by default.
+        dedupe: Avoiding the error of duplicate characters if `dedupe=True`.
+    """
+    blob = Blob.from_path(DUPLICATE_CHARS)
+    doc_generator = parser.lazy_parse(blob)
+    assert isinstance(doc_generator, Iterator)
+    docs = list(doc_generator)
+
+    if dedupe:
+        # use dedupe avoid duplicate characters.
+        assert "1000 Series" == docs[0].page_content.split("\n")[0]
+    else:
+        # duplicate characters will appear in doc if not dedupe
+        assert "11000000  SSeerriieess" == docs[0].page_content.split("\n")[0]
+
+
+@pytest.mark.parametrize(
+    "mode,image_parser",
+    [
+        ("single", EmptyImageBlobParser()),
+        # ("page", None)
+    ],
+)
+@pytest.mark.parametrize(
+    "parser_factory,params",
+    [
+        (
+            "UnstructuredPDFParser",
+            {"strategy": "auto"},
+        ),
+        (
+            "UnstructuredPDFParser",
+            {"strategy": "fast"},
+        ),
+        (
+            "UnstructuredPDFParser",
+            {"strategy": "hi_res"},
+        ),
+        (
+            "UnstructuredPDFParser",
+            {"strategy": "ocr_only"},
+        ),
+    ],
+)
+def test_mode_and_extract_images_variations(
+    parser_factory: str,
+    params: dict,
+    mode: str,
+    image_parser: BaseImageBlobParser,
+) -> None:
+    _test_matrix(
+        parser_factory,
+        params,
+        mode,
+        image_parser,
+        images_inner_format="text",
+    )
+
+
+@pytest.mark.parametrize(
+    "images_inner_format",
+    ["text", "markdown-img", "html-img"],
+)
+@pytest.mark.parametrize(
+    "parser_factory,params",
+    [
+        (
+            "UnstructuredPDFParser",
+            {"strategy": "auto"},
+        ),
+        (
+            "UnstructuredPDFParser",
+            {"strategy": "fast"},
+        ),
+        (
+            "UnstructuredPDFParser",
+            {"strategy": "hi_res"},
+        ),
+        (
+            "UnstructuredPDFParser",
+            {"strategy": "ocr_only"},
+        ),
+    ],
+)
+def test_mode_and_image_formats_variations(
+    parser_factory: str,
+    params: dict,
+    images_inner_format: str,
+) -> None:
+    mode = "single"
+    image_parser = EmptyImageBlobParser()
+
+    _test_matrix(
+        parser_factory,
+        params,
+        mode,
+        image_parser,
+        images_inner_format,
+    )
+
+def _test_matrix(
+    parser_factory: str,
+    params: dict,
+    mode: str,
+    image_parser: BaseImageBlobParser,
+    images_inner_format: str,
+) -> None:
+    """Apply the same test for all *standard* PDF parsers.
+
+    - Try with mode `single` and `page`
+    - Try with image_parser `None` or others
+    """
+
+    def _std_assert_with_parser(parser: BaseBlobParser) -> None:
+        """Standard tests to verify that the given parser works.
+
+        Args:
+            parser (BaseBlobParser): The parser to test.
+        """
+        blob = Blob.from_path(LAYOUT_PARSER_PAPER_PDF)
+        doc_generator = parser.lazy_parse(blob)
+        docs = list(doc_generator)
+        metadata = docs[0].metadata
+        assert metadata["source"] == str(LAYOUT_PARSER_PAPER_PDF)
+        assert "creationdate" in metadata
+        assert "creator" in metadata
+        assert "producer" in metadata
+        assert "total_pages" in metadata
+        if len(docs) > 1:
+            assert metadata["page"] == 0
+        if hasattr(parser, "extract_images") and parser.extract_images:
+            images = []
+            for doc in docs:
+                _HTML_image = (
+                    r"<img\s+[^>]*"
+                    r'src="([^"]+)"(?:\s+alt="([^"]*)")?(?:\s+'
+                    r'title="([^"]*)")?[^>]*>'
+                )
+                _markdown_image = r"!\[([^\]]*)\]\(([^)\s]+)(?:\s+\"([^\"]+)\")?\)"
+                match = re.findall(_markdown_image, doc.page_content)
+                if match:
+                    images.extend(match)
+            assert len(images) >= 1
+
+        if hasattr(parser, "password"):
+            old_password = parser.password
+            parser.password = "password"
+            blob = Blob.from_path(LAYOUT_PARSER_PAPER_PASSWORD_PDF)
+            doc_generator = parser.lazy_parse(blob)
+            docs = list(doc_generator)
+            assert len(docs)
+            parser.password = old_password
+
+    parser_class = getattr(pdf_parsers, parser_factory)
+
+    parser = parser_class(
+        mode=mode,
+        images_parser=image_parser,
+        images_inner_format=images_inner_format,
+        **params,
+    )
+    _assert_with_parser(parser, splits_by_page=(mode == "page"))
+    _std_assert_with_parser(parser)
+
+@pytest.mark.parametrize(
+    "extract_tables",
+    ["markdown", "html", "csv", None],
+)
+@pytest.mark.parametrize(
+    "parser_factory,params",
+    [
+        (
+            "UnstructuredPDFParser",
+            {"strategy": "hi_res"},
+        ),
+    ],
+)
+def test_parser_with_table(
+    parser_factory: str,
+    params: dict,
+    extract_tables: str,
+) -> None:
+    mode = "single"
+
+    from langchain_community.document_loaders.parsers.images import BaseImageBlobParser
+
+
+    parser_class = getattr(pdf_parsers, parser_factory)
+
+    parser = parser_class(
+        mode=mode,
+        extract_tables=extract_tables,
+        images_parser=EmptyImageBlobParser(),
+        **params,
+    )
+    _std_assert_table_with_parser(extract_tables,parser)
+
+def _std_assert_table_with_parser(extract_tables:str, parser: BaseBlobParser) -> None:
+    """Standard tests to verify that the given parser works.
+
+    Args:
+        parser (BaseBlobParser): The parser to test.
+    """
+    blob = Blob.from_path(LAYOUT_PARSER_PAPER_PDF)
+    doc_generator = parser.lazy_parse(blob)
+    docs = list(doc_generator)
+    tables = []
+    for doc in docs:
+        if extract_tables == "markdown":
+            pattern = (
+                r"(?s)("
+                r"(?:(?:[^\n]*\|)\n)"
+                r"(?:\|(?:\s?:?---*:?\s?\|)+)\n"
+                r"(?:(?:[^\n]*\|)\n)+"
+                r")"
+            )
+        elif extract_tables == "html":
+            pattern = r"(?s)(<table[^>]*>(?:.*?)<\/table>)"
+        elif extract_tables == "csv":
+            pattern = (
+                r"((?:(?:"
+                r'(?:"(?:[^"]*(?:""[^"]*)*)"'
+                r"|[^\n,]*),){2,}"
+                r"(?:"
+                r'(?:"(?:[^"]*(?:""[^"]*)*)"'
+                r"|[^\n]*))\n){2,})"
+            )
+        else:
+            pattern = None
+        if pattern:
+            matches = re.findall(pattern, doc.page_content)
+            if matches:
+                tables.extend(matches)
+    if extract_tables:
+        assert len(tables) >= 1
+    else:
+        assert not len(tables)
diff --git a/libs/unstructured/tests/unit_tests/test_imports.py b/libs/unstructured/tests/unit_tests/test_imports.py
index 0089ff7..de40a59 100644
--- a/libs/unstructured/tests/unit_tests/test_imports.py
+++ b/libs/unstructured/tests/unit_tests/test_imports.py
@@ -1,6 +1,8 @@
 from langchain_unstructured import __all__
 
 EXPECTED_ALL = [
+    "UnstructuredPDFLoader",
+    "UnstructuredPDFParser",
     "UnstructuredLoader",
     "__version__",
 ]
diff --git a/libs/unstructured/unstructured_pdfloader.ipynb b/libs/unstructured/unstructured_pdfloader.ipynb
new file mode 100644
index 0000000..0d1f56f
--- /dev/null
+++ b/libs/unstructured/unstructured_pdfloader.ipynb
@@ -0,0 +1,661 @@
+{
+ "cells": [
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "# UnstructuredPDFLoader\n",
+    "\n",
+    "[Unstructured](https://unstructured-io.github.io/unstructured/) supports a common interface for working with unstructured or semi-structured file formats, such as Markdown or PDF. LangChain's [UnstructuredPDFLoader](https://python.langchain.com/api_reference/unstructured/document_loaders/langchain_unstructured.UnstructuredPDFLoader.html) integrates with Unstructured to parse PDF documents into LangChain [Document](https://python.langchain.com/api_reference/core/documents/langchain_core.documents.base.Document.html) objects.\n",
+    "\n",
+    "Please see [this page](https://python.langchain.com/docs/integrations/providers/unstructured/) for more information on installing system requirements.\n",
+    "\n",
+    "This notebook provides a quick overview for getting started with `Unstructured` [document loader](https://python.langchain.com/docs/concepts/document_loaders). For detailed documentation of all __ModuleName__Loader features and configurations head to the [API reference](https://python.langchain.com/api_reference/unstructured/document_loaders/langchain_unstructured.document_loaders.UnstructuredPDFLoader.html).\n",
+    "\n",
+    "  \n",
+    "\n",
+    "## Overview\n",
+    "### Integration details\n",
+    "\n",
+    "| Class                                                                                                                                                      | Package                                                                                   | Local | Serializable | JS support|\n",
+    "|:-----------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------| :---: | :---: |  :---: |\n",
+    "| [UnstructuredPDFLoader](https://python.langchain.com/api_reference/unstructured/document_loaders/langchain_unstructured.document_loaders.UnstructuredPDFLoader.html) | [langchain_unstructured](https://python.langchain.com/api_reference/unstructured/index.html) | ✅ | ❌ | ❌ |\n",
+    "\n",
+    "---------   \n",
+    "\n",
+    "### Loader features\n",
+    "\n",
+    "|        Source         | Document Lazy Loading | Native Async Support | Extract Images | Extract Tables |\n",
+    "|:---------------------:| :---: | :---: | :---: |:---: |\n",
+    "| UnstructuredPDFLoader | ✅ | ❌ | ✅ | ✅ |\n",
+    "\n",
+    "  \n",
+    "\n",
+    "## Setup\n",
+    "\n",
+    "### Credentials\n",
+    "\n",
+    "No credentials are required to use UnstructuredPDFLoader"
+   ],
+   "id": "c5cfc31fbeaf1df5"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "If you want to get automated best in-class tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:",
+   "id": "fdb4c153c5d7f089"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "# os.environ[\"LANGSMITH_API_KEY\"] = getpass.getpass(\"Enter your LangSmith API key: \")\n",
+    "# os.environ[\"LANGSMITH_TRACING\"] = \"true\""
+   ],
+   "id": "81b223d9f4d772e"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    "### Installation\n",
+    "\n",
+    "Install **langchain_unstructured**."
+   ],
+   "id": "fea2890dffa0d81a"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": "%pip install -qU langchain_unstructured",
+   "id": "8ca3912bda1453fb"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    "## Initialization\n",
+    "\n",
+    "Now we can instantiate our model object and load documents:"
+   ],
+   "id": "978398e3af7c8dd7"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "from langchain_unstructured.document_loaders import UnstructuredPDFLoader\n",
+    "\n",
+    "STRATEGY = \"fast\"\n",
+    "file_path = \"./example_data/layout-parser-paper.pdf\"\n",
+    "loader = UnstructuredPDFLoader(file_path, strategy=STRATEGY)"
+   ],
+   "id": "9223e8cddfcfa00"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "## Load",
+   "id": "f8e2c12669bf8e32"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "docs = loader.load()\n",
+    "docs[0]"
+   ],
+   "id": "81368d26069d7725"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "import pprint\n",
+    "\n",
+    "pprint.pp(docs[0].metadata)"
+   ],
+   "id": "b1630f3fbdfd4dd0"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "## Lazy Load\n",
+   "id": "2e01ce770cb07884"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "pages = []\n",
+    "for doc in loader.lazy_load():\n",
+    "    pages.append(doc)\n",
+    "    if len(pages) >= 10:\n",
+    "        # do some paged operation, e.g.\n",
+    "        # index.upsert(page)\n",
+    "\n",
+    "        pages = []\n",
+    "len(pages)"
+   ],
+   "id": "e697e54fd77f9638"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "print(pages[0].page_content[:100])\n",
+    "pprint.pp(pages[0].metadata)"
+   ],
+   "id": "f30f58698940a927"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    "The metadata attribute contains at least the following keys:\n",
+    "- source\n",
+    "- page (if in mode *page*)\n",
+    "- total_page\n",
+    "- creationdate\n",
+    "- creator\n",
+    "- producer\n",
+    "\n",
+    "Additional metadata are specific to each parser.\n",
+    "These pieces of information can be helpful (to categorize your PDFs for example)."
+   ],
+   "id": "bad48283b09d3c85"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    "### Retain Elements\n",
+    "\n",
+    "Under the hood, Unstructured creates different \"elements\" for different chunks of text. By default we combine those together, but you can easily keep that separation by specifying `mode=\"elements\"`."
+   ],
+   "id": "8bfd1b954b6e1b03"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "file_path = \"./example_data/layout-parser-paper.pdf\"\n",
+    "loader = UnstructuredPDFLoader(file_path,\n",
+    "                               mode=\"elements\",\n",
+    "                               strategy=STRATEGY,\n",
+    "                               )\n",
+    "\n",
+    "data = loader.load()\n",
+    "data[0]"
+   ],
+   "id": "324c5f8f4b247ccb"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "See the full set of element types for this particular document:",
+   "id": "46b725d2ae2d75e"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": "set(doc.metadata[\"category\"] for doc in data)",
+   "id": "cccb1dbdb8eb7364"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "## Splitting mode & custom pages delimiter",
+   "id": "34fc6cbabacb1bf9"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    "When loading the PDF file you can split it in two different ways:\n",
+    "- By page\n",
+    "- As a single text flow\n",
+    "\n",
+    "By default PDFPlumberLoader will split the PDF by page."
+   ],
+   "id": "f25cdafdccec51d9"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "### Extract the PDF by page. Each page is extracted as a langchain Document object:",
+   "id": "72e8fa843598b2a5"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "loader = UnstructuredPDFLoader(\n",
+    "    \"./example_data/layout-parser-paper.pdf\",\n",
+    "    mode=\"page\",\n",
+    "    strategy=STRATEGY,\n",
+    ")\n",
+    "docs = loader.load()\n",
+    "print(len(docs))\n",
+    "pprint.pp(docs[0].metadata)"
+   ],
+   "id": "6df0fbdf5fb50e37"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "In this mode the pdf is split by pages and the resulting Documents metadata contains the page number. But in some cases we could want to process the pdf as a single text flow (so we don't cut some paragraphs in half). In this case you can use the *single* mode :",
+   "id": "f01977d3c0939dc3"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "### Extract the whole PDF as a single langchain Document object:",
+   "id": "ccbd995cb6debf22"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "loader = UnstructuredPDFLoader(\n",
+    "    \"./example_data/layout-parser-paper.pdf\",\n",
+    "    mode=\"single\",\n",
+    "    strategy=STRATEGY,\n",
+    ")\n",
+    "docs = loader.load()\n",
+    "print(len(docs))\n",
+    "pprint.pp(docs[0].metadata)"
+   ],
+   "id": "75c3ea3672f2da03"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "Logically, in this mode, the ‘page_number’ metadata disappears. Here's how to clearly identify where pages end in the text flow :",
+   "id": "c737738736a92502"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "### Add a custom *pages_delimitor* to identify where are ends of pages in *single* mode:",
+   "id": "bd1dced33c63a89d"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "loader = UnstructuredPDFLoader(\n",
+    "    \"./example_data/layout-parser-paper.pdf\",\n",
+    "    mode=\"single\",\n",
+    "    strategy=STRATEGY,\n",
+    "    pages_delimitor=\"\\n-------THIS IS A CUSTOM END OF PAGE-------\\n\",\n",
+    ")\n",
+    "docs = loader.load()\n",
+    "print(docs[0].page_content[:5780])"
+   ],
+   "id": "1a94a95f2af21a28"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "This could simply be \\n, or \\f to clearly indicate a page change, or \\<!-- PAGE BREAK --> for seamless injection in a Markdown viewer without a visual effect.",
+   "id": "8e6033d83f3ff643"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "# Extract images from the PDF",
+   "id": "5f5337e14a1aae3"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    "You can extract images from your PDFs with a choice of three different solutions:\n",
+    "- rapidOCR (lightweight Optical Character Recognition tool)\n",
+    "- Tesseract (OCR tool with high precision)\n",
+    "- Multimodal language model\n",
+    "\n",
+    "You can tune these functions to choose the output format of the extracted images among *html*, *markdown* or *text*\n",
+    "\n",
+    "The result is inserted between the last and the second-to-last paragraphs of text of the page."
+   ],
+   "id": "dbb8e69fc3dc1a45"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "### Extract images from the PDF with rapidOCR:",
+   "id": "da6534552926bb1e"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": "%pip install -qU rapidocr-onnxruntime",
+   "id": "b2ccbcf588351a3d"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "from langchain_community.document_loaders.parsers.pdf import (\n",
+    "    convert_images_to_text_with_rapidocr,\n",
+    ")\n",
+    "\n",
+    "loader = UnstructuredPDFLoader(\n",
+    "    \"./example_data/layout-parser-paper.pdf\",\n",
+    "    mode=\"page\",\n",
+    "    strategy=STRATEGY,\n",
+    "    extract_images=True,\n",
+    "    images_to_text=convert_images_to_text_with_rapidocr(format=\"html\"),\n",
+    ")\n",
+    "docs = loader.load()\n",
+    "\n",
+    "print(docs[5].page_content)"
+   ],
+   "id": "75ba08dd3b479825"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "Be careful, RapidOCR is designed to work with Chinese and English, not other languages.",
+   "id": "acb929bc5a6fb3a0"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "### Extract images from the PDF with Tesseract:",
+   "id": "709d48a9edd68fdb"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": "%pip install -qU pytesseract",
+   "id": "96c98ae02072480e"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "from langchain_community.document_loaders.parsers.pdf import (\n",
+    "    convert_images_to_text_with_tesseract,\n",
+    ")\n",
+    "\n",
+    "loader = UnstructuredPDFLoader(\n",
+    "    \"./example_data/layout-parser-paper.pdf\",\n",
+    "    mode=\"page\",\n",
+    "    strategy=STRATEGY,\n",
+    "    extract_images=True,\n",
+    "    images_to_text=convert_images_to_text_with_tesseract(format=\"text\"),\n",
+    ")\n",
+    "docs = loader.load()\n",
+    "print(docs[5].page_content)"
+   ],
+   "id": "2acb6df5fca09840"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "### Extract images from the PDF with multimodal model:",
+   "id": "83a0dec22ff28d0a"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": "%pip install -qU langchain_openai",
+   "id": "11af127b497b9e53"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "import os\n",
+    "\n",
+    "from dotenv import load_dotenv\n",
+    "\n",
+    "load_dotenv()"
+   ],
+   "id": "ce6fac92022a2476"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "from getpass import getpass\n",
+    "\n",
+    "if not os.environ.get(\"OPENAI_API_KEY\"):\n",
+    "    os.environ[\"OPENAI_API_KEY\"] = getpass(\"OpenAI API key =\")"
+   ],
+   "id": "322b364b44cab6c5"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "from langchain_community.document_loaders.parsers.pdf import (\n",
+    "    convert_images_to_description,\n",
+    ")\n",
+    "from langchain_openai import ChatOpenAI\n",
+    "\n",
+    "loader = UnstructuredPDFLoader(\n",
+    "    \"./example_data/layout-parser-paper.pdf\",\n",
+    "    mode=\"page\",\n",
+    "    strategy=STRATEGY,\n",
+    "    extract_images=True,\n",
+    "    images_to_text=convert_images_to_description(\n",
+    "        model=ChatOpenAI(model=\"gpt-4o\", max_tokens=1024), format=\"markdown\"\n",
+    "    ),\n",
+    ")\n",
+    "docs = loader.load()\n",
+    "print(docs[5].page_content)"
+   ],
+   "id": "b988d965fbe3541f"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "# Extract tables from the PDF",
+   "id": "361dc22f0482c45e"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "With PyMUPDF you can extract tables from your PDFs in *html*, *markdown* or *csv* format :",
+   "id": "26fbeb1cdabb859d"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "loader = UnstructuredPDFLoader(\n",
+    "    \"./example_data/layout-parser-paper.pdf\",\n",
+    "    mode=\"page\",\n",
+    "    strategy=STRATEGY,\n",
+    "    extract_tables=\"markdown\",\n",
+    ")\n",
+    "docs = loader.load()\n",
+    "print(docs[4].page_content)"
+   ],
+   "id": "67702d2e84fb31ee"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    "## Working with Files\n",
+    "\n",
+    "Many document loaders involve parsing files. The difference between such loaders usually stems from how the file is parsed, rather than how the file is loaded. For example, you can use `open` to read the binary content of either a PDF or a markdown file, but you need different parsing logic to convert that binary data into text.\n",
+    "\n",
+    "As a result, it can be helpful to decouple the parsing logic from the loading logic, which makes it easier to re-use a given parser regardless of how the data was loaded.\n",
+    "You can use this strategy to analyze different files, with the same parsing parameters."
+   ],
+   "id": "38fe696d8fc752c7"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "from langchain_community.document_loaders import FileSystemBlobLoader\n",
+    "from langchain_community.document_loaders.generic import GenericLoader\n",
+    "from langchain_unstructured.document_loaders import UnstructuredPDFParser\n",
+    "\n",
+    "loader = GenericLoader(\n",
+    "    blob_loader=FileSystemBlobLoader(\n",
+    "        path=\"./example_data/\",\n",
+    "        glob=\"*.pdf\",\n",
+    "    ),\n",
+    "    blob_parser=UnstructuredPDFParser(\n",
+    "        strategy=STRATEGY,\n",
+    "    ),\n",
+    ")\n",
+    "docs = loader.load()\n",
+    "print(docs[0].page_content)\n",
+    "pprint.pp(docs[0].metadata)"
+   ],
+   "id": "25c5f11877b5bb62"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "It is possible to work with files from cloud storage.",
+   "id": "cb2202ea02e6ca77"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "from langchain_community.document_loaders import CloudBlobLoader\n",
+    "from langchain_community.document_loaders.generic import GenericLoader\n",
+    "\n",
+    "loader = GenericLoader(\n",
+    "    blob_loader=CloudBlobLoader(\n",
+    "        url=\"s3:/mybucket\",  # Supports s3://, az://, gs://, file:// schemes.\n",
+    "        glob=\"*.pdf\",\n",
+    "    ),\n",
+    "    blob_parser=UnstructuredPDFParser(\n",
+    "        strategy=STRATEGY,\n",
+    "    ),\n",
+    ")\n",
+    "docs = loader.load()\n",
+    "print(docs[0].page_content)\n",
+    "pprint.pp(docs[0].metadata)"
+   ],
+   "id": "ace2502df011a160"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    "### Using Unstructured via API\n",
+    "\n",
+    "UNSTRUCTURED_API_KEY"
+   ],
+   "id": "3b4e721389ee3d4c"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "import os\n",
+    "\n",
+    "from dotenv import load_dotenv\n",
+    "\n",
+    "load_dotenv()\n",
+    "from getpass import getpass\n",
+    "\n",
+    "if not os.environ.get(\"UNSTRUCTURED_API_KEY\"):\n",
+    "    os.environ[\"UNSTRUCTURED_API_KEY\"] = getpass(\"Unstructured API key =\")"
+   ],
+   "id": "7a7aa227c409932c"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "    loader = UnstructuredPDFLoader(\n",
+    "        file_path=file_path,\n",
+    "        partition_via_api=True,\n",
+    "        strategy=\"fast\",\n",
+    "        include_page_breaks=True,\n",
+    "        coordinates=True,\n",
+    "    )\n",
+    "\n",
+    "    docs = loader.load()\n"
+   ],
+   "id": "5be581a844615e0d"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    "## API reference\n",
+    "\n",
+    "For detailed documentation of all `UnstructuredPDFLoader` features and configurations head to the API reference: https://python.langchain.com/api_reference/unstructured/"
+   ],
+   "id": "e9c45b20f78efe8c"
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": "",
+   "id": "9d7fcca5422640ef"
+  }
+ ],
+ "metadata": {},
+ "nbformat": 5,
+ "nbformat_minor": 9
+}