What OCR API is good for bank statements?

For bank statements, you usually want more than basic OCR. The best choice is an API that can handle:

• tables
• multi-page PDFs
• line items
• totals
• mixed layouts / scanned documents
• preferably bank-statement-specific parsing

Good options

1. Google Cloud Document AI

• Very strong for structured documents
• Good at tables and form-like PDFs
• Has bank-statement-style document parsing capabilities through custom processors
• Great if you need scalable cloud infrastructure

Best for: high accuracy on varied statement formats

2. AWS Textract

• Strong OCR plus forms and tables extraction
• Good for scanned PDFs and images
• Easy to integrate if you already use AWS

Best for: extracting transaction tables from statements

3. Azure AI Document Intelligence

• Good OCR and layout extraction
• Useful if you want prebuilt and custom document models
• Solid for enterprise workflows

Best for: Microsoft/Azure environments

4. Veryfi

• Specifically built for financial documents
• Often good for bank statements, receipts, invoices, and expense data
• Usually easier for direct financial parsing than generic OCR

Best for: ready-made financial document extraction

5. Mindee

• Strong document parsing API
• Has finance-focused endpoints
• Easier developer experience for certain use cases

Best for: structured extraction with less setup

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My recommendation

If your main goal is bank statement transaction extraction, start with:

• Veryfi if you want the most “bank-statement-ready” solution
• AWS Textract or Google Document AI if you want a more general enterprise-grade OCR pipeline

If you care about accuracy on messy statements

Use a pipeline like:

1. OCR API
2. layout/table extraction
3. post-processing rules
4. validation against totals/balances

That usually works better than plain OCR alone.

If you want, I can also give you:

• a comparison table
• the best API by budget
• or a Python example for extracting bank statement transactions.