Bank Statements OCR API

Unleash financial intelligence: Veryfi AI transforms raw bank statements into actionable insights for smarter lending, tax compliance, fraud detection, and beyond.

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Bank Statements OCR API for Data Extraction

What is Bank Statements OCR API?

Bank statements are official financial records issued by banks, detailing account transactions over a specific period. These documents typically list deposits, withdrawals, fees, and balance information. Bank Statement OCR (Optical Character Recognition) API from Veryfi is a powerful AI tool that automates the extraction and digitization of data from these statements into structure JSON data format for any language and currency. This API leverages advanced machine learning algorithms to accurately read, interpret, and convert the printed or handwritten text on bank statements into machine-readable data.

Veryfi’s Bank Statement OCR API revolutionizes financial management, slashing processing time by up to 80% and reducing error rates from 5% to less than 1%. It accelerates account reconciliation, transforming a 3-hour task into a 15-minute process. The technology unveils spending patterns across thousands of transactions and fortifies budget planning with 99% accuracy. Veryfi not only optimizes operations but also unlocks deeper financial analysis, addressing critical needs for the 60% of businesses struggling with manual data entry.

Request: Bank Statement Data Extraction
import requests
url = "https://api.veryfi.com/api/v8/partner/bank-statements"
headers = {
'CLIENT-ID': '<API_KEY_VALUE>',
'AUTHORIZATION': '<API_KEY_VALUE>'
}
payload = {'file_url': 'https://cdn…'}
response = requests.post(url, headers=headers, data=payload)
print(response.json())
Response: Structured JSON
{
“account_holder_name”: “Mr Robot”,
“account_holder_address”: “210 S B St, San Mateo, CA 94401”,
“bank_name”: “The Royal Bank of Scotland”,
“account_number”: “1111111”,
“routing_number”: “16-10-00”,
“beginning_balance”: 1803.90,
“ending_balance”: 300.20,
“currency_code”: “GBP”,
“transactions”: [
{
“date”: “2013-10-22 00:00:00”,
“description”: “AUTOMATED PAY IN 650274051211-CHB”,
“debit_amount”: 190.40,
“balance”: 1803.90
},
{
“date”: “2013-12-21 00:00:00”,
“description”: “DVLA”,
“debit_amount”: 280.00,
“balance”: 2548.14
}
]
}

Bank Statements OCR API

Veryfi’s Bank Statements OCR API is easy and fast to implement with just a few lines of code (as shown).

Bank Statements OCR API comes bundled with:
✓ Day-1 Ready Pre-Trained Bank Statements AI model,
✓ Free 🧰 SDKs to help you launch faster in your preferred programming language and
✓ Easy to use no-code API 🗔 Portal where you can store and edit your documents, fine-tune the ML model and more.

Need help? email support@veryfi.com

Supported Fields

  • Account Info
    • Account Holder Info
    • Account Holder Name
    • Account Holder Address
    • Period Start Date
    • Period End Date
    • Routing Number
    • Account Type
    • Due Date
    • Statement Date
    • Statement Number
    • Currency Code
    • Learn more …
  • Totals
  • Bank Info
  • Transaction Line-Items
    • Line #
    • Transaction Id
    • Date of Transaction
    • Card Number
    • Credit Amount
    • Debit Amount
    • Description Text
    • Line Item as Text
    • Learn more …

Process your bank statement in less time than it takes to read this.

See for yourself.

Use Cases

  • Credit Scoring
    Banking, Financial Services

    Bank statement analysis provides a more comprehensive view of financial behavior than traditional credit scores.

  • Loan Underwriting
    Banking, Alternative Lending

    Detailed transaction history helps assess risk and loan affordability more accurately. Reduces default rates by up to 25% (McKinsey).

  • Expense Management
    FinTech, Personal Banking

    Automated categorization of expenses and reconciliation helps users budget, and save more effectively.

  • Cash Flow Forecasting
    Small Business, Corporate Finance

    Transaction patterns can be used to predict future cash flow with high accuracy. 82% of small business failures are due to poor cash flow management (U.S. Bank study).

  • Automated Bookkeeping

    Accounting, Small Business. Direct integration of bank data into accounting systems reduces manual entry and errors. A reduction of bookkeeping costs by up to 75%.

  • Digital Banking Transformation

    Banking, FinTech. Data extraction from statements is often a key component in modernizing banking infrastructure. 46% of financial institutions cite legacy systems as a major obstacle (Cornerstone Advisors).

Global Bank-Grade Security & Compliance

  • SOC 2 Type 2 Certified

    Veryfi is SOC2 Type2 certified and compliant with GDPR, HIPAA, CCPA and ITAR standards.


    Security & Compliance