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| 1 | +{% set name = "azure-ai-documentintelligence" %} |
| 2 | + |
| 3 | +package: |
| 4 | + name: "{{ name|lower }}" |
| 5 | + version: {{ environ.get('AZURESDK_CONDA_VERSION', '0.0.0') }} |
| 6 | + |
| 7 | +source: |
| 8 | + url: {{ environ.get('DOCUMENTINTELLIGENCE_SOURCE_DISTRIBUTION', '') }} |
| 9 | + |
| 10 | +build: |
| 11 | + noarch: python |
| 12 | + number: 0 |
| 13 | + script: "{{ PYTHON }} -m pip install . -vv" |
| 14 | + |
| 15 | +requirements: |
| 16 | + host: |
| 17 | + - azure-core >={{ environ.get('AZURESDK_CONDA_VERSION', '0.0.0') }} |
| 18 | + - azure-identity >={{ environ.get('AZURESDK_CONDA_VERSION', '0.0.0') }} |
| 19 | + - pip |
| 20 | + - python |
| 21 | + - requests-oauthlib >=0.5.0 |
| 22 | + - aiohttp |
| 23 | + - isodate |
| 24 | + run: |
| 25 | + - azure-core >={{ environ.get('AZURESDK_CONDA_VERSION', '0.0.0') }} |
| 26 | + - azure-identity >={{ environ.get('AZURESDK_CONDA_VERSION', '0.0.0') }} |
| 27 | + - python |
| 28 | + - requests-oauthlib >=0.5.0 |
| 29 | + - aiohttp |
| 30 | + - isodate |
| 31 | + |
| 32 | +test: |
| 33 | + imports: |
| 34 | + - azure.ai.documentintelligence |
| 35 | + - azure.ai.documentintelligence.aio |
| 36 | + |
| 37 | +about: |
| 38 | + home: "https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/documentintelligence/azure-ai-documentintelligence" |
| 39 | + license: MIT |
| 40 | + license_family: MIT |
| 41 | + license_file: |
| 42 | + summary: "Microsoft Azure AI Document Intelligence Client Library for Python" |
| 43 | + description: | |
| 44 | + Azure AI Document Intelligence (previously known as Form Recognizer) is a cloud service that uses machine learning to analyze text and structured data from your documents. It includes the following main features: |
| 45 | +
|
| 46 | + - Layout - Extract content and structure (ex. words, selection marks, tables) from documents. |
| 47 | + - Document - Analyze key-value pairs in addition to general layout from documents. |
| 48 | + - Read - Read page information from documents. |
| 49 | + - Prebuilt - Extract common field values from select document types (ex. receipts, invoices, business cards, ID documents, U.S. W-2 tax documents, among others) using prebuilt models. |
| 50 | + - Custom - Build custom models from your own data to extract tailored field values in addition to general layout from documents. |
| 51 | + - Classifiers - Build custom classification models that combine layout and language features to accurately detect and identify documents you process within your application. |
| 52 | + - Add-on capabilities - Extract barcodes/QR codes, formulas, font/style, etc. or enable high resolution mode for large documents with optional parameters. |
| 53 | +
|
| 54 | + Please see https://aka.ms/azsdk/conda/releases/documentintelligence for version details. |
| 55 | + doc_url: |
| 56 | + dev_url: |
| 57 | + |
| 58 | +extra: |
| 59 | + recipe-maintainers: |
| 60 | + - xiangyan99 |
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