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azure-ai-formrecognizer

Microsoft Azure Form Recognizer Client Library for Python

With conditionsPyPI Artificial IntelligenceReleased Apr 20241.9M downloads / moMIT LicensePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — azure_ai_formrecognizer-3.3.3-py3-none-any.whl
v3.3.3 · released 2024-04-09 · Python >=3.8 · 4 runtime deps: azure-core, msrest, azure-common, typing-extensions

Yes, if you have an Azure subscription and need to extract structured data from documents at scale. The library is production-stable, actively maintained, has no known vulnerabilities, and integrates cleanly with the broader Azure SDK ecosystem. Install only if you are committed to using Azure's Document Intelligence service; it is not a standalone solution and requires cloud resources and API credentials.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires an Azure subscription and a Form Recognizer or Cognitive Services resource with endpoint and API key.
  • Low friction installation with a pure Python wheel.
  • Actively maintained as of 2026-08-14 with no known vulnerabilities.

License · maintenance · safety

MIT License (permissive) — MIT License permits commercial and private use with minimal restrictions, making it suitable for most production scenarios.

last release 2024-04-09 (857 days) · last repo commit 2026-08-14 · 5,588 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,897,067 downloads/mo, #3,451 on PyPI

Verify before relying

pip install azure-ai-formrecognizer

from azure.core.credentials import AzureKeyCredential
from azure.ai.formrecognizer import DocumentAnalysisClient

endpoint = "https://<resource>.cognitiveservices.azure.com/"
credential = AzureKeyCredential("<api_key>")
client = DocumentAnalysisClient(endpoint, credential)
result = client.begin_analyze_document_from_url("prebuilt-receipt", url).result()
  • Whether prebuilt models cover all document types your use case requires (receipts, invoices, business cards, ID documents, W-2 tax forms mentioned but completeness unclear).
  • Performance characteristics and latency for large-batch document processing.
  • Exact pricing and cost implications of using different API versions (2023-07-31 default vs. older versions).
Same gist for agents: .md · .json

What it is and what it does

Azure Form Recognizer is a Python client library for Microsoft's Document Intelligence cloud service, which uses machine learning to extract structured data from documents. It provides both prebuilt models for common document types (receipts, invoices, business cards, ID documents, tax forms) and the ability to train custom models on your own data. The library handles layout extraction (words, selection marks, tables), key-value pair analysis, document classification, and optional add-ons like barcode/QR code detection and formula extraction.

The package wraps Azure's REST API and requires an active Azure subscription with a Form Recognizer resource. It supports multiple service API versions (2.0, 2.1, 2022-08-31, 2023-07-31), with version 3.3.3 defaulting to 2023-07-31. Authentication is handled via API key or Azure Active Directory credentials. The library is production-stable, actively maintained, and has no reported security vulnerabilities.

Use it for

  • Extract structured data from receipts and invoices for expense tracking or accounting automation.
  • Build a custom model to extract specific fields from domain-specific documents (contracts, medical forms, etc.).
  • Classify incoming documents by type before routing them to appropriate processing pipelines.
  • Extract text and layout information from scanned or PDF documents for downstream NLP or indexing.
  • Detect and extract barcodes or QR codes embedded in documents as part of a larger workflow.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you have an Azure subscription and need to extract structured data from documents at scale.

The library is production-stable, actively maintained, has no known vulnerabilities, and integrates cleanly with the broader Azure SDK ecosystem. Install only if you are committed to using Azure's Document Intelligence service; it is not a standalone solution and requires cloud resources and API credentials.

Install

azure-ai-formrecognizer on PyPI

Before you install

Low friction installation with a pure Python wheel. Actively maintained as of 2026-08-14 with no known vulnerabilities. Depends on azure-core, msrest, azure-common, and typing-extensions—all standard Azure SDK components.

Requires an Azure subscription and a Form Recognizer or Cognitive Services resource with endpoint and API key.

License in practice

MIT License permits commercial and private use with minimal restrictions, making it suitable for most production scenarios.

Quickstart

pip install azure-ai-formrecognizer

from azure.core.credentials import AzureKeyCredential
from azure.ai.formrecognizer import DocumentAnalysisClient

endpoint = "https://<resource>.cognitiveservices.azure.com/"
credential = AzureKeyCredential("<api_key>")
client = DocumentAnalysisClient(endpoint, credential)
result = client.begin_analyze_document_from_url("prebuilt-receipt", url).result()

Verify before relying

  • Whether prebuilt models cover all document types your use case requires (receipts, invoices, business cards, ID documents, W-2 tax forms mentioned but completeness unclear).
  • Performance characteristics and latency for large-batch document processing.
  • Exact pricing and cost implications of using different API versions (2023-07-31 default vs. older versions).

Package facts

LicenseMIT License permissive
Python supportSupports the current Python release >=3.8
Install frictionLow. Pure-Python wheel
Runtime dependencies
4 packages
azure-coremsrestazure-commontyping-extensions
MaintenanceActively maintained 857 days since the last release
Last repo commit
First released
Downloads1,897,067 / month, #3,451 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableLicense :: OSI Approved :: MIT LicenseProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9

Evidence: azure_ai_formrecognizer-3.3.3-py3-none-any.whl

Tags

Capabilities
document text extractionform data recognitionazure document analysisreceipt invoice parsingcustom document modelsdocument layout analysiskey-value pair extraction
Topics
document-extractionazure-sdkmachine-learning
PyPI keywords
azureform recognizercognitive servicesdocument analyzerdocument analysisapplied aiazure sdk

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See also azure-ai-documentintelligence · azure-ai-textanalytics · azure-ai-translation-document · azure-ai-contentsafety · azure-search-documents · azure-ai-language-questionanswering · azure-ai-vision-imageanalysis · azure-ai-contentunderstanding · azure-ai-translation-text · azure-ai-language-conversations