Document Intelligence mortgage document models

This content applies to: v4.0 (GA)

The Document Intelligence Mortgage models use powerful Optical Character Recognition (OCR) capabilities and deep learning models to analyze and extract key fields from mortgage documents. Mortgage documents can be of various formats and quality. The API analyzes mortgage documents and returns a structured JSON data representation. The models currently support English-language documents only. With the latest V4.0, you can now extract signatures from mortgage applications and forms.

Supported document types:

• Uniform Residential Loan Application (Form 1003)
• Uniform Residential Appraisal Report (Form 1004)
• Verification of employment form (Form 1005)
• Uniform Underwriting and Transmittal Summary (Form 1008)
• Closing Disclosure form

Development options

Document Intelligence v4.0 (2024-11-30-GA) supports the following tools, applications, and libraries:

Feature	Resources	Model ID
Mortgage model	• Document Intelligence Studio • REST API • C# SDK • Python SDK • Java SDK • JavaScript SDK	• prebuilt-mortgage.us.1003 • prebuilt-mortgage.us.1004 • prebuilt-mortgage.us.1005 • prebuilt-mortgage.us.1008 • prebuilt-mortgage.us.closingDisclosure

Input requirements

• Supported file formats:

  Model	PDF	Image: JPEG/JPG, PNG, BMP, TIFF, HEIF	Microsoft Office: Word (DOCX), Excel (XLSX), PowerPoint (PPTX), HTML
  Read	✔	✔	✔
  Layout	✔	✔	✔
  General Document	✔	✔
  Prebuilt	✔	✔
  Custom extraction	✔	✔
  Custom classification	✔	✔	✔

• 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 2024-11-30 (GA), the total size of training data is 2 GB with a maximum of 10,000 pages.

Try mortgage documents data extraction

To see how data extraction works for the mortgage documents service, you need the following resources:

• An Azure subscription—you can create one for free.

• A Document Intelligence instance in the Azure portal. You can use the free pricing tier (F0) to try the service. After your resource deploys, select Go to resource to get your key and endpoint.

Document Intelligence Studio

1. On the Document Intelligence Studio home page, select Mortgage.

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

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

   

Try Document Intelligence Studio

Supported languages and locales

See our Language Support—prebuilt models page for a complete list of supported languages.

Field extraction

For supported document extraction fields, see the mortgage document model schema pages in our GitHub sample repository.

Next steps

• 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.