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Azure Document Intelligence in Foundry Tools

Accelerate information extraction from documents.
Overview

Quickly extract text and structure from documents

Azure Document Intelligence is a Foundry Tool that applies advanced AI models to extract text, key-value pairs, tables, and structures from documents automatically and accurately. Turn documents into usable data and shift your focus to acting on information rather than compiling it. Start with prebuilt models or create custom models tailored to your documents both on-premises and in the cloud with the Document Intelligence studio or SDK.
  • Learn how to accelerate your business processes by automating text extraction with AI Document Intelligence. This webinar features hands-on demos for key use cases such as document processing, knowledge mining, and industry-specific AI model customization.
  • Accurately extract text, key-value pairs, and tables from documents, forms, receipts, invoices, and cards of various types without manual labeling by document type, intensive coding, or maintenance. Use AI Document Intelligence custom forms, prebuilt, and layout APIs to extract information from your documents in an organized manner.
    A blue and white calculator displaying the numbers 1234 on its screen.
  • Avoid building a custom solution to work with documents that deviate from traditional formats. The custom extraction capabilities in Document Intelligence help you overcome this challenge by training on your own data based on just five documents. Not only is the first output more reliable and tailored to your needs, but it also allows you to provide human input to create a highly accurate model customized to your forms.
    A screenshot of a computer screen with various text and symbols displayed.
  • Recognize forms at the edge, on-premises, and in the cloud with container support. The portable architecture can be deployed directly to Azure Kubernetes Service (AKS) or Azure Container Instances, or to a Kubernetes cluster deployed to Azure Stack. Use the REST interface with the Document Intelligence API to then integrate into search indexes, automate business processes, and create custom workflows for your business.
Features

Simple, secure data extraction with flexible deployment and customized results

Simple text extraction

Easily pull data and organize information with prebuilt and custom features—no manual labeling required.

Customized results

Get output tailored to your layouts with automatic custom extraction and improve it with human feedback.

Flexible deployment

Ingest data from the cloud or at the edge and apply to search indexes, business automation workflows, and more.

Built-in security

Rely on enterprise-grade security and privacy applied to both your data and any trained models.

Analyze forms and documents

Make data-driven decisions by extracting data from documents and putting it into your data visualization service for analysis.

Create intelligent search indexes

Easily find specific information in your documents and forms, such as total accounts payable, by integrating AI Document Intelligence with Azure Applied AI Search.

Automate business workflows

Extract text, key-value pairs, tables, and structures from documents, and pipe them into your back-end systems to perform tasks such as claim, invoice, and receipt processing.
Security

Embedded security and compliance

34,000
Full-time equivalent engineers dedicated to security initiatives at Microsoft.
15,000
Partners with specialized security expertise.
 
>100
Compliance certifications, including over 50 specific to global regions and countries.
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Pricing

Process documents cost-effectively

Choose from free and standard pricing options to extract valuable information from documents at a fraction of the price of manual extraction.
FAQ

Frequently asked questions

  • Document Intelligence is a powerful AI tool within Azure AI Foundry Tools (formerly Azure AI Services) that enables organizations to automatically extract text, key-value pairs, tables, and document structure from files such as PDFs, images, and forms. It uses advanced AI and optical character recognition (OCR) to transform unstructured content into structured, actionable data. As part of Azure AI Foundry Tools, Document Intelligence integrates seamlessly with other tools like Language, Vision, and Content Understanding—making it easier to build intelligent agents and applications that can read, analyze, and respond to real-world documents with precision and speed.
  • Yes, Azure Document Intelligence—formerly part of Azure AI Services—is now rebranded as Document Intelligence in Foundry Tools. This change is part of a broader platform unification under Azure AI Foundry, aligning these services with how developers build intelligent, agentic applications today. Document Intelligence still offers the same powerful capabilities—like extracting text, tables, key-value pairs, and layout from documents, forms, and images using prebuilt and custom models. Document Intelligence is now a core tool within the Foundry ecosystem, designed to work seamlessly with other tools like Speech, Translator, and Content Understanding. This rebrand helps clarify how Document Intelligence fits into the Foundry platform—making it easier to discover, orchestrate, and integrate into modern AI workflows for document automation, knowledge extraction, and agentic reasoning.
  • See Azure Document Intelligence availability.
  • It supports printed and handwritten forms, PDFs, and images.
  • Document Intelligence supports multiple languages including English, French, German, Italian, Spanish, Portuguese, Dutch, Chinese, Japanese, and Korean. See the full list here.
  • The custom option uses five samples to learn the structure of your documents and intelligently extract text and data tailored to them. The prebuilt option doesn't use samples—the model has already been trained and is ready to use off the shelf to extract key fields from specific document types.
  • Layout extracts text using high-definition optical character recognition (OCR) tailored for documents. It also extracts the structures of tables (row and column numbers), selection marks and more.
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