Azure Form Recognizer
Accelerate information extraction from documents.
Quickly extract text and structure from documents
Form Recognizer is an AI service that applies advanced machine learning 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 Form Recognizer studio or SDK.
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.
Use AI to Build Document Processing Workflows
Learn how to accelerate your business processes by automating text extraction with Form Recognizer. This webinar features hands-on demos for key use cases such as document processing, knowledge mining, and industry-specific AI model customization.
Easily extract text and structure with simple REST API
Document analysis
Detects and extracts text and layout of documents, like tables, check boxes, and objects.
Prebuilt
These are pretrained models for common scenarios such as IDs, receipts, and invoices, that extract text, key-value pairs, and line items from documents.
Custom
This custom form service lets you train on your own data to learn the structure of your documents in an intelligent way.
Customize text extraction to your forms
When you're working with documents that deviate from traditional formats, like industry-specific materials, you often need to build your own solution. The custom extraction capabilities in Form Recognizer 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.
Apply Form Recognizer anywhere, in the cloud or at the edge
Recognize forms at the edge, on-premises, and in the cloud with container support in Azure Applied AI Services. 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 of the Form Recognizer API to then integrate into Azure Applied AI search indexes, automate business processes, and create custom workflows for your business.
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Analyze forms and documents
Make data-driven decisions by extracting data from documents and putting it into your data visualization service for analysis.
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Create intelligent search indexes
Easily find specific information in your documents and forms, such as total accounts payable, by integrating Form Recognizer with Azure Applied AI Search.
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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.
Fuel App Innovation with Cloud AI Services
Learn five key ways your organization can get started with AI to realize value quickly.
Comprehensive security and compliance, built in
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Microsoft invests more than $1 billion annually on cybersecurity research and development.
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We employ more than 3,500 security experts who are dedicated to data security and privacy.
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Azure has more certifications than any other cloud provider. View the comprehensive list.
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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.
Get started with an Azure free account
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After your credit, move to pay as you go to keep building with the same free services. Pay only if you use more than your free monthly amounts.
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Customers and partners using Form Recognizer
Automating invoice and contract processes
EY is helping clients extract data from contracts and invoices using Form Recognizer while saving hundreds of thousands of hours of manual work.
Simplifying patient onboarding
HCA Healthcare uses Form Recognizer to simplify and improve the patient onboarding experience, and to cut down on administrative time spent entering repetitive data into the care center's system.
Accelerating time to insight
Chevron uses Form Recognizer with UiPath's robotic process automation platform to automate the extraction of unstructured data, enabling employees to focus their time on high-value analysis.
Delivering a five-star loyalty experience
Emaar uses Form Recognizer to scan receipts and reward loyalty program members, differentiating their customer experience and reducing their month-on-month processing costs by more than 50 percent.
Saving time on every transaction
Standard Bank of South Africa uses Form Recognizer to automate processing for complex cross-border transactions, improving customer service while significantly reducing turnaround time and operating expenses.
Documentation and resources
Get started
Browse documentation
Take the receipt analysis Microsoft Learn course
Explore code samples
Check out the sample code
Frequently asked questions about Form Recognizer
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Check Azure Form Recognizer availability.
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It supports printed and handwritten forms, PDFs, and images.
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Azure Form Recognizer supports multiple languages including English, French, German, Italian, Spanish, Portuguese, Dutch, Chinese, Japanese, and Korean. See full list here.
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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.
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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.