What is Azure Document Intelligence?
Azure Document Intelligence (formerly Form Recognizer) is a Foundry Tools service from Microsoft Azure that automatically extracts text, tables, key-value pairs, and structures from documents. The service combines OCR with machine learning to return documents not as a plain text block, but as structured, directly usable data — for example, an invoice with fields for invoice number, date, line items, and total amount.
The current version 4.0 distinguishes between general document analysis models (Read for text and handwriting recognition, Layout for table and structure recognition) and a broad set of prebuilt models for specific document types, for example in finance, legal, and government contexts. For document types not covered by a prebuilt model, custom models can be trained using your own training data.
Document Intelligence complements Azure Content Understanding: while Document Intelligence provides deterministic, high-accuracy extraction from structured documents, Content Understanding adds LLM-based analyzers for more complex, unstructured, or multimodal content.
Core Features
- Read and Layout models for general text, table, and structure recognition
- Prebuilt models including invoices, receipts, bank statements, checks, credit cards, pay stubs, contracts, and US tax and mortgage forms
- Identity verification models, including ID documents, health insurance cards, and marriage certificates
- Custom models for organization-specific document types
- Handwriting recognition in addition to printed text
- Integration via REST API and SDKs for common programming languages
Typical Use Cases
Finance departments automate invoice processing: incoming invoices are processed, Document Intelligence extracts vendor, amount, bank details, and line items, and a downstream workflow validates against orders and initiates payment.
Legal departments use custom models for contract analysis, systematically extracting clauses, deadlines, parties, and terms from large contract portfolios and reducing manual review.
Insurance companies and healthcare providers digitize application forms and health insurance cards; handwritten entries are recognized and matched against master data.
Banks and financial services providers use the models for bank statements, checks, and US mortgage forms to speed up document review and onboarding processes.
Benefits
- Broad coverage of common business documents without building your own models
- Structured, directly usable data instead of plain text
- Scalable from single documents to large document volumes
- Extensible through custom models for organization-specific formats
- Can be combined with Azure Content Understanding for more complex, unstructured content
Integration with innFactory
As a Microsoft Solutions Partner, innFactory supports you with Azure Document Intelligence: document analysis, selecting the right prebuilt or custom models, workflow integration, and connecting to your ERP or core system.
Contact us for a non-binding consultation on Azure Document Intelligence and Microsoft Azure.
Typical Use Cases
Frequently Asked Questions
What is Azure Document Intelligence?
Azure Document Intelligence (formerly Form Recognizer) is a Foundry Tools service that extracts text, tables, and structured data from documents such as forms, invoices, or contracts. It combines OCR with machine learning to return documents as structured, machine-processable data rather than plain text.
What document types are supported?
Prebuilt models are available for invoices, receipts, bank statements, checks, credit cards, contracts, pay stubs, US tax and mortgage forms, as well as identity documents and health insurance cards, among others. For custom document types, you can additionally train custom models.
How accurate is the extraction?
Accuracy depends heavily on the document type, image quality, and, for custom models, the amount and quality of training data. You should determine concrete accuracy figures for your use case with a proof of concept based on your own documents.
Can I recognize handwritten text?
Yes, the Read model recognizes both printed and handwritten text. Recognition quality varies with handwriting legibility.
How does Document Intelligence differ from Azure Content Understanding?
Document Intelligence provides deterministic, high-accuracy extraction from structured documents via prebuilt and custom models. Azure Content Understanding complements this with LLM-based analyzers for more complex, unstructured, or multimodal content. Both services can be combined.
How do I integrate Document Intelligence with my ERP?
Integration happens via REST API or SDKs. A typical architecture uses Logic Apps or Power Automate to pass new documents from SharePoint or an inbox to Document Intelligence and then write the extracted data into SAP, Dynamics, or another target system.
Note: All product information on this page has been compiled with care, but is provided without guarantee and may be outdated or incomplete. Cloud services evolve rapidly — features, pricing, SLAs, and availability change frequently. Authoritative and up-to-date information can only be found on the official product page of Azure (official documentation). This page does not represent an offer by Azure.
