Unable to extract entire figure from PDF academic paper

[jamesbraza]

Description of the bug

I am working with a PDF export of the paper "PaSa: An LLM Agent for Comprehensive Academic Paper Search" from https://arxiv.org/abs/2501.10120.

PyMuPDF is failing to import:

1. The PaSa icon on page 1
2. Figure 1 on page 2 gets read in as many individual and small images

Can PyMuPDF support figures better from academic papers?

How to reproduce the bug

With Python 3.13.2, pymupdf==1.26.1, and pydantic==2.11.7:

import pathlib

import pymupdf
from pydantic import BaseModel, Field, JsonValue

THIS_DIR = pathlib.Path(__file__).parent


class ParsedImage(BaseModel):
    """Raw image parsed from a document's page."""

    index: int = Field(description="Index of the image in a given page.")
    data: bytes = Field(
        description="Raw image, ideally directly savable to an image file."
    )
    info: dict[str, JsonValue | tuple[float, ...] | bytes] = Field(
        default_factory=dict, description="Optional image metadata."
    )


content: dict[str, tuple[str, list[ParsedImage]]] = {}
with pymupdf.open(THIS_DIR / "pasa.pdf") as file:
    for i in range(file.page_count):
        page = file.load_page(i)
        content[str(i + 1)] = page.get_text("text", sort=True), [
            ParsedImage(
                index=img_index,
                data=file.extract_image(img_info["xref"])["image"],
                info=img_info,
            )
            for img_index, img_info in enumerate(
                # Extract images all at once using get_image_info()
                page.get_image_info(hashes=True, xrefs=True)
            )
        ]
assert content["1"][1], "Expected image on page 1 to be present"
assert len(content["2"][1]) < 5, "Expected figure 1 to be read-in cohesively"

PyMuPDF version

1.26.1

Operating system

MacOS

Python version

3.13

[JorjMcKie]

This no issue, but a typical Discussions item. Transferring ...