BANK_STATEMENT_OCR
Bank statement OCR for transactions, balances, and Excel exports
Convert scanned bank statements and PDF account activity into structured transaction data for reconciliation, lending, and audit.
{
"document_type": "bank_statement",
"bank_name": "Northstar Bank",
"account_last4": "4821",
"statement_period": "2026-04-01 to 2026-04-30",
"opening_balance": 18420.25,
"closing_balance": 21378.44,
"transaction_count": 87
}FIELD_SCHEMA
Fields built for bank statement conversion
The parser extracts account metadata and transaction tables while keeping dates, descriptions, debits, credits, and balances aligned.
Statement identity
Transaction rows
Balances
Handles statement layouts that break manual entry
Multi-column statements where transactions continue across pages
Scanned PDFs with faint dates, stamps, or handwritten notes
Separate debit and credit columns that need to stay aligned
Running balances split from descriptions by wide table spacing
From bank PDF to reconciliation-ready data
Upload a bank statement PDF, scan, or image
Extract account details, transaction rows, amounts, and balances
Review ambiguous rows before export
Download Excel or CSV, or send structured JSON through the API
RELATED_PARSERS
FAQ
Common questions
Can PDF2TEXT extract bank statement transactions?
Yes. It extracts transaction tables with dates, descriptions, debits, credits, and balances for review and export.
Does bank statement OCR work on scanned PDFs?
Yes. Upload scanned statements or image files and review the extracted transaction rows before exporting.
Can I export bank statement data to Excel?
Yes. Download reviewed statement data as Excel or CSV, or use the API for structured JSON workflows.
Turn bank statements into structured Excel data
Convert scanned bank statements and PDF account activity into structured transaction data for reconciliation, lending, and audit.