Document Intelligence health insurance card model

This content applies to: v4.0 | Previous versions: v3.1 (GA) v3.0 (GA) ::: moniker-end

The Document Intelligence 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. A health insurance card is a key document for care processing. It can be digitally analyzed for patient onboarding, financial coverage information, cashless payments, and insurance claim processing. The health insurance card model analyzes health card images; extracts key information such as insurer, member, prescription, and group number; and returns a structured JSON representation. Health insurance cards can be presented in various formats and quality including phone-captured images, scanned documents, and digital PDFs.

Sample health insurance card processed using Document Intelligence Studio

Development options

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

Feature	Resources	Model ID
Health insurance card model	• Document Intelligence Studio • REST API • C# SDK • Python SDK • Java SDK • JavaScript SDK	prebuilt-healthInsuranceCard.us

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 Document Intelligence Studio

See how data is extracted from health insurance cards using the Document Intelligence Studio. 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.

Note

Document Intelligence Studio is available with API version v3.0.

1. On the Document Intelligence Studio home page, select Health insurance cards.

2. You can analyze the sample insurance card document or select the ➕ Add button to upload your own sample.

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

   

   Try Document Intelligence Studio.

Supported languages and locales

For a complete list of supported languages, see our prebuilt model language support page.

Field extraction

For supported document extraction fields, see the health insurance card model schema page in our GitHub sample repository.

Migration guide and REST API v3.1

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

• Explore our REST API to learn more about the v3.1 version and new capabilities.

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.