Document processing models

Important

  • Document Intelligence public preview releases provide early access to features that are in active development.
  • Features, approaches, and processes may change, prior to General Availability (GA), based on user feedback.
  • The public preview version of Document Intelligence client libraries default to REST API version 2023-10-31-preview.
  • Public preview version 2023-10-31-preview is currently only available in the following Azure regions:
  • East US
  • West US2
  • West Europe

This content applies to: checkmark v4.0 (preview) | Previous versions: blue-checkmark v3.1 (GA) blue-checkmark v3.0 (GA) blue-checkmark v2.1 (GA)

This content applies to: checkmark v3.1 (GA) | Latest version: purple-checkmark v4.0 (preview) | Previous versions: blue-checkmark v3.0 blue-checkmark v2.1

This content applies to: checkmark v3.0 (GA) | Latest versions: purple-checkmark v4.0 (preview) purple-checkmark v3.1 (preview) | Previous version: blue-checkmark v2.1

This content applies to: checkmark v2.1 | Latest version: blue-checkmark v4.0 (preview)

Azure AI Document Intelligence supports a wide variety of models that enable you to add intelligent document processing to your apps and flows. You can use a prebuilt domain-specific model or train a custom model tailored to your specific business need and use cases. Document Intelligence can be used with the REST API or Python, C#, Java, and JavaScript client libraries.

Model overview

The following table shows the available models for each current preview and stable API:

Model Type Model 2023-10-31-preview 2023-07-31 (GA) 2022-08-31 (GA) v2.1 (GA)
Document analysis models Read ✔️ ✔️ ✔️ n/a
Document analysis models Layout ✔️ ✔️ ✔️ ✔️
Document analysis models General document moved to layout ✔️ ✔️ n/a
Prebuilt models Business card deprecated ✔️ ✔️ ✔️
Prebuilt models Contract ✔️ ✔️ n/a n/a
Prebuilt models Health insurance card ✔️ ✔️ ✔️ n/a
Prebuilt models ID document ✔️ ✔️ ✔️ ✔️
Prebuilt models Invoice ✔️ ✔️ ✔️ ✔️
Prebuilt models Receipt ✔️ ✔️ ✔️ ✔️
Prebuilt models US 1098 Tax ✔️ ✔️ n/a n/a
Prebuilt models US 1098-E Tax ✔️ ✔️ n/a n/a
Prebuilt models US 1098-T Tax ✔️ ✔️ n/a n/a
Prebuilt models US 1099 Tax ✔️ n/a n/a n/a
Prebuilt models US W2 Tax ✔️ ✔️ ✔️ n/a
Prebuilt models Add-on capabilities ✔️ ✔️ n/a n/a
Custom models Custom classifier ✔️ ✔️ n/a n/a
Custom models Custom neural ✔️ ✔️ ✔️ n/a
Custom models Custom template ✔️ ✔️ ✔️ ✔️
Custom models Custom composed ✔️ ✔️ ✔️ ✔️
Add-on Capability Add-On/Free 2023-10-31-preview 2023-07-31 (GA) 2022-08-31 (GA) v2.1 (GA)
Font property extraction Add-On ✔️ ✔️ n/a n/a
Formula extraction Add-On ✔️ ✔️ n/a n/a
High resolution extraction Add-On ✔️ ✔️ n/a n/a
Barcode extraction Free ✔️ ✔️ n/a n/a
Language detection Free ✔️ ✔️ n/a n/a
Key value pairs Free ✔️ n/a n/a n/a
Query fields Add-On* ✔️ n/a n/a n/a

Add-On* - Query fields are priced differently than the other add-on features. See pricing for details.

Model Description
Document analysis models
Read OCR Extract print and handwritten text including words, locations, and detected languages.
Layout analysis Extract text and document layout elements like tables, selection marks, titles, section headings, and more.
Prebuilt models
Health insurance card Automate healthcare processes by extracting insurer, member, prescription, group number, and other key information from US health insurance cards.
US Tax document models Process US tax forms to extract employee, employer, wage, and other information.
Contract Extract agreement and party details.
Invoice Automate invoices.
Receipt Extract receipt data from receipts.
Identity document (ID) Extract identity (ID) fields from US driver licenses and international passports.
Business card Scan business cards to extract key fields and data into your applications.
Custom models
Custom model (overview) Extract data from forms and documents specific to your business. Custom models are trained for your distinct data and use cases.
Custom extraction models Custom template models use layout cues to extract values from documents and are suitable to extract fields from highly structured documents with defined visual templates.
Custom neural models are trained on various document types to extract fields from structured, semi-structured, and unstructured documents.
Custom classification model The Custom classification model can classify each page in an input file to identify the documents within and can also identify multiple documents or multiple instances of a single document within an input file.
Composed models Combine several custom models into a single model to automate processing of diverse document types with a single composed model.

For all models, except Business card model, Document Intelligence now supports add-on capabilities to allow for more sophisticated analysis. These optional capabilities can be enabled and disabled depending on the scenario of the document extraction. There are seven add-on capabilities available for the 2023-07-31 (GA) and later API version:

Analysis features

Model ID Content Extraction Query fields Paragraphs Paragraph Roles Selection Marks Tables Key-Value Pairs Languages Barcodes Document Analysis Formulas* Style Font* High Resolution*
prebuilt-read O O O O O
prebuilt-layout O O O O O
prebuilt-document O O O O O
prebuilt-businessCard
prebuilt-contract O O O O O
prebuilt-healthInsuranceCard.us O O O O O
prebuilt-idDocument O O O O O
prebuilt-invoice O O O O O O
prebuilt-receipt O O O O O
prebuilt-tax.us.w2 O O O O O
prebuilt-tax.us.1098 O O O O O
prebuilt-tax.us.1098E O O O O O
prebuilt-tax.us.1098T O O O O O
prebuilt-tax.us.1099(variations) O O O O O
{ customModelName } O O O O O

✓ - Enabled
O - Optional
* - Premium features incur extra costs

Read OCR

The Read API analyzes and extracts lines, words, their locations, detected languages, and handwritten style if detected.

Sample document processed using the Document Intelligence Studio:

Screenshot of Screenshot of sample document processed using Document Intelligence Studio Read

Layout analysis

The Layout analysis model analyzes and extracts text, tables, selection marks, and other structure elements like titles, section headings, page headers, page footers, and more.

Sample document processed using the Document Intelligence Studio:

Screenshot of sample newspaper page processed using Document Intelligence Studio.

Health insurance card

The health insurance card model combines powerful Optical Character Recognition (OCR) capabilities with deep learning models to analyze and extract key information from US health insurance cards.

Sample US health insurance card processed using Document Intelligence Studio:

Screenshot of a sample US health insurance card analysis in Document Intelligence Studio.

US tax documents

The US tax document models analyze and extract key fields and line items from a select group of tax documents. The API supports the analysis of English-language US tax documents of various formats and quality including phone-captured images, scanned documents, and digital PDFs. The following models are currently supported:

Model Description ModelID
US Tax W-2 Extract taxable compensation details. prebuilt-tax.us.W-2
US Tax 1098 Extract mortgage interest details. prebuilt-tax.us.1098
US Tax 1098-E Extract student loan interest details. prebuilt-tax.us.1098E
US Tax 1098-T Extract qualified tuition details. prebuilt-tax.us.1098T
US Tax 1099 Extract wage information details. prebuilt-tax.us.1099(variations)

Sample W-2 document processed using Document Intelligence Studio:

Screenshot of a sample W-2.

Contract

The contract model analyzes and extracts key fields and line items from contractual agreements including parties, jurisdictions, contract ID, and title. The model currently supports English-language contract documents.

Sample contract processed using Document Intelligence Studio:

Screenshot of contract model extraction using Document Intelligence Studio.

Invoice

The invoice model automates processing of invoices to extracts customer name, billing address, due date, and amount due, line items, and other key data. Currently, the model supports English, Spanish, German, French, Italian, Portuguese, and Dutch invoices.

Sample invoice processed using Document Intelligence Studio:

Screenshot of a sample invoice.

Receipt

Use the receipt model to scan sales receipts for merchant name, dates, line items, quantities, and totals from printed and handwritten receipts. The version v3.0 also supports single-page hotel receipt processing.

Sample receipt processed using Document Intelligence Studio:

Screenshot of a sample receipt.

Identity document (ID)

Use the Identity document (ID) model to process U.S. Driver's Licenses (all 50 states and District of Columbia) and biographical pages from international passports (excluding visa and other travel documents) to extract key fields.

Sample U.S. Driver's License processed using Document Intelligence Studio:

Screenshot of a sample identification card.

Custom models

Custom document models analyze and extract data from forms and documents specific to your business. They're trained to recognize form fields within your distinct content and extract key-value pairs and table data. You only need five examples of the same form type to get started.

Version v3.0 custom model supports signature detection in custom forms (template model) and cross-page tables in both template and neural models.

Sample custom template processed using Document Intelligence Studio:

Screenshot of Document Intelligence tool analyze-a-custom-form window.

Custom extraction

Custom extraction model can be one of two types, custom template or custom neural. To create a custom extraction model, label a dataset of documents with the values you want extracted and train the model on the labeled dataset. You only need five examples of the same form or document type to get started.

Sample custom extraction processed using Document Intelligence Studio:

Screenshot of custom extraction model analysis in Document Intelligence Studio.

Custom classifier

The custom classification model enables you to identify the document type before invoking the extraction model. The classification model is available starting with the 2023-07-31 (GA) API. Training a custom classification model requires at least two distinct classes and a minimum of five samples per class.

Composed models

A composed model is created by taking a collection of custom models and assigning them to a single model built from your form types. You can assign multiple custom models to a composed model called with a single model ID. You can assign up to 200 trained custom models to a single composed model.

Composed model dialog window in Document Intelligence Studio:

Screenshot of Document Intelligence Studio compose custom model dialog window.

Model data extraction

Model ID Text extraction Language detection Selection Marks Tables Paragraphs Structure Key-Value pairs Fields
prebuilt-read
prebuilt-healthInsuranceCard.us
prebuilt-tax.us.w2
prebuilt-tax.us.1098
prebuilt-tax.us.1098E
prebuilt-tax.us.1098T
prebuilt-tax.us.1099(variations)
prebuilt-document
prebuilt-layout
prebuilt-invoice
prebuilt-receipt
prebuilt-idDocument
prebuilt-businessCard
Custom

Input requirements

  • For best results, provide one clear photo or high-quality scan per document.

  • Supported file formats:

    Model PDF Image:
    JPEG/JPG, PNG, BMP, TIFF, HEIF
    Microsoft Office:
    Word (DOCX), Excel (XLSX), PowerPoint (PPTX), and HTML
    Read
    Layout ✔ (2023-10-31-preview)
    General Document
    Prebuilt
    Custom
  • For PDF and TIFF, up to 2000 pages can be processed (with a free tier subscription, only the first two pages are processed).

  • The file size for analyzing documents is 500 MB for paid (S0) tier and 4 MB for free (F0) tier.

  • Image dimensions must be between 50 x 50 pixels and 10,000 px x 10,000 pixels.

  • If your PDFs are password-locked, you must remove the lock before submission.

  • The minimum height of the text to be extracted is 12 pixels for a 1024 x 768 pixel image. This dimension corresponds to about 8-point text at 150 dots per inch (DPI).

  • For custom model training, the maximum number of pages for training data is 500 for the custom template model and 50,000 for the custom neural model.

    • For custom extraction model training, the total size of training data is 50 MB for template model and 1G-MB for the neural model.

    • For custom classification model training, the total size of training data is 1GB with a maximum of 10,000 pages.

Note

The Sample Labeling tool does not support the BMP file format. This is a limitation of the tool not the Document Intelligence Service.

Version migration

Learn how to use Document Intelligence v3.0 in your applications by following our Document Intelligence v3.1 migration guide

Model Description
Document analysis
Layout Extract text and layout information from documents.
Prebuilt
Invoice Extract key information from English and Spanish invoices.
Receipt Extract key information from English receipts.
ID document Extract key information from US driver licenses and international passports.
Business card Extract key information from English business cards.
Custom
Custom Extract data from forms and documents specific to your business. Custom models are trained for your distinct data and use cases.
Composed Compose a collection of custom models and assign them to a single model built from your form types.

Layout

The Layout API analyzes and extracts text, tables and headers, selection marks, and structure information from documents.

Sample document processed using the Sample Labeling tool:

Screenshot of `layout` analysis using the Sample Labeling tool.

Invoice

The invoice model analyzes and extracts key information from sales invoices. The API analyzes invoices in various formats and extracts key information such as customer name, billing address, due date, and amount due.

Sample invoice processed using the Sample Labeling tool:

Screenshot of a sample invoice analysis using the Sample Labeling tool.

Receipt

  • The receipt model analyzes and extracts key information from printed and handwritten sales receipts.

Sample receipt processed using Sample Labeling tool:

Screenshot of a sample receipt.

ID document

The ID document model analyzes and extracts key information from the following documents:

  • U.S. Driver's Licenses (all 50 states and District of Columbia)

  • Biographical pages from international passports (excluding visa and other travel documents). The API analyzes identity documents and extracts

Sample U.S. Driver's License processed using the Sample Labeling tool:

Screenshot of a sample identification card.

Business card

The business card model analyzes and extracts key information from business card images.

Sample business card processed using the Sample Labeling tool:

Screenshot of a sample business card.

Custom

  • Custom models analyze and extract data from forms and documents specific to your business. The API is a machine-learning program trained to recognize form fields within your distinct content and extract key-value pairs and table data. You only need five examples of the same form type to get started and your custom model can be trained with or without labeled datasets.

Sample custom model processing using the Sample Labeling tool:

Screenshot of Document Intelligence tool analyze-a-custom-form window.

Composed custom model

A composed model is created by taking a collection of custom models and assigning them to a single model built from your form types. You can assign multiple custom models to a composed model called with a single model ID. You can assign up to 100 trained custom models to a single composed model.

Composed model dialog window using the Sample Labeling tool:

Screenshot of Document Intelligence Studio compose custom model dialog window.

Model data extraction

Model Text extraction Language detection Selection Marks Tables Paragraphs Paragraph roles Key-Value pairs Fields
Layout
Invoice
Receipt
ID Document
Business Card
Custom Form

Input requirements

  • For best results, provide one clear photo or high-quality scan per document.

  • Supported file formats:

    Model PDF Image:
    JPEG/JPG, PNG, BMP, TIFF, HEIF
    Microsoft Office:
    Word (DOCX), Excel (XLSX), PowerPoint (PPTX), and HTML
    Read
    Layout ✔ (2023-10-31-preview)
    General Document
    Prebuilt
    Custom
  • For PDF and TIFF, up to 2000 pages can be processed (with a free tier subscription, only the first two pages are processed).

  • The file size for analyzing documents is 500 MB for paid (S0) tier and 4 MB for free (F0) tier.

  • Image dimensions must be between 50 x 50 pixels and 10,000 px x 10,000 pixels.

  • If your PDFs are password-locked, you must remove the lock before submission.

  • The minimum height of the text to be extracted is 12 pixels for a 1024 x 768 pixel image. This dimension corresponds to about 8-point text at 150 dots per inch (DPI).

  • For custom model training, the maximum number of pages for training data is 500 for the custom template model and 50,000 for the custom neural model.

    • For custom extraction model training, the total size of training data is 50 MB for template model and 1G-MB for the neural model.

    • For custom classification model training, the total size of training data is 1GB with a maximum of 10,000 pages.

Note

The Sample Labeling tool does not support the BMP file format. This is a limitation of the tool not the Document Intelligence Service.

Version migration

You can learn how to use Document Intelligence v3.0 in your applications by following our Document Intelligence v3.1 migration guide

Next steps