Convert any PDF bank statement to Excel, CSV or JSON — Date, Description, Debit, Credit and Balance columns extracted instantly. Works with digital and scanned PDFs from any bank worldwide. No signup required.
Our bank statement extractor pulls every transaction into a clean, structured table. Each row represents a single transaction with the following columns:
| Column | Description | Example |
|---|---|---|
| Date | Transaction date (normalised to YYYY-MM-DD) | 2024-03-15 |
| Description | Full narration / payee name / reference | UPI/Google Pay/SALARY |
| Debit | Amount withdrawn or paid out | 12,500.00 |
| Credit | Amount deposited or received | 85,000.00 |
| Balance | Running account balance after transaction | 1,42,300.00 |
Additional fields such as value date, cheque number, transaction reference ID and branch code are captured where present in the source PDF.
Integrate bank data extraction into applications. Download JSON output for direct use in pipelines, or use our REST API for automated extraction.
Extract transaction data for reconciliation, categorisation and import into accounting software — without manual re-entry.
Extract income credits, expense debits and average balance data from applicant bank statements for credit analysis and underwriting.
Extract full transaction histories from client bank statements for audit trails, due diligence and financial analysis.
Upload your bank statement PDF — digital or scanned, any bank, any country
Our 4-tier engine extracts all transactions with balance verification
Download as Excel, CSV or JSON — ready to use immediately
Not all bank statement PDFs are structured the same way. Our extraction engine uses four sequential methods to handle every PDF type:
The engine selects the most appropriate method automatically and falls back to the next tier if extraction confidence is low. Balance verification runs across all methods — extracted balances are checked against running totals to confirm accuracy before output is generated.
Accuracy matters when extracted data is used for financial decisions. Our extractor achieves 99%+ accuracy on digital PDFs and 95-98% on clean scanned PDFs. The balance verification step adds an additional quality check — after extraction, the tool recalculates the running balance from each debit and credit transaction and compares it against the balance column in the original PDF. Any discrepancy is flagged so you can review before using the data.
This verification step is particularly valuable for underwriting and audit use cases where data accuracy directly affects outcomes.
Best for accountants, bookkeepers and anyone who needs to review or filter transactions manually. Excel output includes formatted columns, proper date types and number formatting. Import directly into QuickBooks, Xero, Sage, Tally or any accounting software that accepts Excel uploads.
Universal format for data import. Suitable for database ingestion, custom scripts and any software that reads delimited text files. CSV output uses UTF-8 encoding with comma delimiters.
For developers and API workflows. JSON output is structured with a transactions array, each element containing date, description, debit, credit and balance fields. Ideal for feeding extracted data directly into applications or custom processing pipelines.