Document Intelligence bank statement model

The Document Intelligence bank statement model combines powerful Optical Character Recognition (OCR) capabilities with deep learning models to analyze and extract data from US bank statements. The API analyzes printed bank statements; extracts key information such as account number, bank details, statement details, transaction details, and fees; and returns a structured JSON data representation.

Feature version Model ID
Bank statement model • v4.0:2024-07-31 (preview) prebuilt-bankStatement.us

Bank statement data extraction

A bank statement helps review account's activities during a specified period. It's an official statement that helps in detecting fraud, tracking expenses, accounting errors and record the period's activities. See how data is extracted using the prebuilt-bankStatement.us model. 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.

    Screenshot of keys and endpoint location in the Azure portal.

Document Intelligence Studio

  1. On the Document Intelligence Studio home page, select bank statements.

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

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

    Screenshot of Run analysis and Analyze options buttons in the Document Intelligence Studio.

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 ✔ (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 languages and locales

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

Field extractions

Field Type Description Example
AccountNumber string Account number on the bank statement 987-654-3210
AccountType string Type of account on the bank statement Checking
BankAddress address Listed address of the bank 123 Main St., Redmond, Washington 98052
BankName string Listed name of the bank Contoso Bank
AccountHolderAddress address Address of the account holder 456 Main St., Redmond, Washington 98052
AccountHolderName string Name of the account holder JOHN DOE
EndingBalance number Ending balance on the bank statement $1488.03
BeginningBalance number Beginning balance on the bank statement $1488.03
StatementStartDate date Start date of the bank statement July 01, 2017
StatementEndDate date End date of the bank statement July 31, 2017
TotalServiceFees number Total service fees $0.00
Transactions array Extracted transaction line item 07/17
OnlineTransfer From Check...6609 Transaction#: 6373187418
$1,500.00
Transactions.* object
Transactions.*.Date date Transaction date 07/17
Transactions.*.Description string Transaction description OnlineTransfer From Check...6609 Transaction#: 6373187418
Transactions.*.CheckNumber string Check number of the transaction 6609
Transactions.*.DepositAmount number Amount of deposit in the transaction $1500.00
Transactions.*.WithdrawalAmount number Amount of withdrawal in the transaction $1500.00

Supported locales

The prebuilt-bankStatement.us version 2027-07-31-preview supports the en-us locale.

Next steps