Document Intelligence invoice 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)

The Document Intelligence invoice model uses powerful Optical Character Recognition (OCR) capabilities to analyze and extract key fields and line items from sales invoices, utility bills, and purchase orders. Invoices can be of various formats and quality including phone-captured images, scanned documents, and digital PDFs. The API analyzes invoice text; extracts key information such as customer name, billing address, due date, and amount due; and returns a structured JSON data representation. The model currently supports invoices in 27 languages.

Supported document types:

• Invoices
• Utility bills
• Sales orders
• Purchase orders

Automated invoice processing

Automated invoice processing is the process of extracting key accounts payable fields from billing account documents. Extracted data includes line items from invoices integrated with your accounts payable (AP) workflows for reviews and payments. Historically, the accounts payable process is performed manually and, hence, very time consuming. Accurate extraction of key data from invoices is typically the first and one of the most critical steps in the invoice automation process.

Sample invoice processed with Document Intelligence Studio:

Development options

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:

Input requirements

• Supported file formats:

• 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 PDF and TIFF, up to 2,000 pages are processed. For free tier subscribers, only the first two pages are processed.
• Supported file size must be less than 50 MB and dimensions at least 50 x 50 pixels and at most 10,000 x 10,000 pixels.

Invoice model data extraction

See how data, including customer information, vendor details, and line items, is extracted from invoices. 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.

1. On the Document Intelligence Studio home page, select Invoices.
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 :

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

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

Supported languages and locales

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

Field extraction

The Document Intelligence invoice model prebuilt-invoice extracts the following fields.