Document Intelligence ID document model

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

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

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

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

Document Intelligence Identity document (ID) model combines Optical Character Recognition (OCR) with deep learning models to analyze and extract key information from identity documents. The API analyzes identity documents (including the following) and returns a structured JSON data representation:

• Passport book, passport card worldwide
• Driver's license from United States, Europe, India, Canada, and Australia
• United States identification cards, residency permit (green card), social security card, military ID
• European identification cards, residency permits
• India PAN card, Aadhaar card
• Canada identification cards, residency permit (maple card)
• Australia photo card, key-pass ID (including digital version)

Document Intelligence can analyze and extract information from government-issued identification documents (IDs) using its prebuilt IDs model. It combines our powerful Optical Character Recognition (OCR) capabilities with ID recognition capabilities to extract key information from Worldwide Passports and U.S. Driver's Licenses (all 50 states and D.C.). The IDs API extracts key information from these identity documents, such as first name, surname, date of birth, document number, and more. This API is available in the Document Intelligence v2.1 as a cloud service.

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

Data extraction

The prebuilt IDs service extracts the key values from worldwide passports and U.S. Driver's Licenses and returns them in an organized structured JSON response.

Driver's license example

Passport example

Document Intelligence v4.0 (2024-07-31-preview) supports the following tools, applications, and libraries:

Document Intelligence v3.1 supports the following tools, applications, and libraries:

Document Intelligence v3.0 supports the following tools, applications, and libraries:

Document Intelligence v2.1 supports the following tools, applications, and libraries:

• Supported file formats:

  Model	PDF	Image: JPEG/JPG, PNG, BMP, TIFF, HEIF	Microsoft Office: Word (DOCX), Excel (XLSX), PowerPoint (PPTX), HTML
  Read	✔	✔	✔
  Layout	✔	✔	✔ (2024-07-31-preview, 2024-02-29-preview, 2023-10-31-preview)
  General Document	✔	✔
  Prebuilt	✔	✔
  Custom extraction	✔	✔
  Custom classification	✔	✔	✔ (2024-07-31-preview, 2024-02-29-preview)

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

• For PDF and TIFF, up to 2,000 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 pixels x 50 pixels and 10,000 pixels 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 1 GB for the neural model.

  • For custom classification model training, the total size of training data is 1 GB with a maximum of 10,000 pages. For 2024-07-31-preview and later, the total size of training data is 2 GB with a maximum of 10,000 pages.

• Supported file formats: JPEG, PNG, PDF, and TIFF.

• Supported number of pages for PDF and TIFF files: up to 2,000 pages or only the first two pages for free-tier subscribers.

• Supported file size: less than 50 MB TOTAL; minimum pixels: 50 x 50 px; maximum pixels 10,000 x 10,000 px.

1. On the Document Intelligence Studio home page, select Identity documents.

2. You can analyze the sample invoice or upload your own files.

3. Select the Run analysis button and, if necessary, configure the Analyze options:

   

   Try Document Intelligence Studio.

Document Intelligence Sample Labeling tool

1. Navigate to the Document Intelligence Sample Tool.

2. On the sample tool home page, select the Use prebuilt model to get data tile.

   

3. Select the Form Type to analyze from the dropdown menu.

4. Choose a URL for the file you would like to analyze from the below options:

   • Sample invoice document.
   • Sample ID document.
   • Sample receipt image.
   • Sample business card image.

5. In the Source field, select URL from the dropdown menu, paste the selected URL, and select the Fetch button.

   

6. In the Document Intelligence service endpoint field, paste the endpoint that you obtained with your Document Intelligence subscription.

7. In the key field, paste the key you obtained from your Document Intelligence resource.

   

8. Select Run analysis. The Document Intelligence Sample Labeling tool calls the Analyze Prebuilt API and analyzes the document.

9. View the results - see the key-value pairs extracted, line items, highlighted text extracted, and tables detected.

   

10. Download the JSON output file to view the detailed results.

    • The "readResults" node contains every line of text with its respective bounding box placement on the page.
    • The "selectionMarks" node shows every selection mark (checkbox, radio mark) and whether its status is selected or unselected.
    • The "pageResults" section includes the tables extracted. For each table, Document Intelligence extracts the text, row, and column index, row and column spanning, bounding box, and more.
    • The "documentResults" field contains key/value pairs information and line items information for the most relevant parts of the document.

Supported document types

Field extractions

For supported document extraction fields, refer to the ID document model schema page in our GitHub sample repository.

Supported document types

The ID document model currently supports US driver licenses and the biographical page from international passports (excluding visa and other travel documents) extraction.

Fields extracted

Migration guide

• Follow our Document Intelligence v3.1 migration guide to learn how to use the v3.0 version in your applications and workflows.

• Try processing your own forms and documents with the Document Intelligence Studio.

• Complete a Document Intelligence quickstart and get started creating a document processing app in the development language of your choice.

• Find more samples on GitHub.

• Find more samples on GitHub.

• Try processing your own forms and documents with the Document Intelligence Sample Labeling tool.

• Complete a Document Intelligence quickstart and get started creating a document processing app in the development language of your choice.