Extraction Accuracy Stats
500+
Real statements tested
5s
Average extraction time
Data Fields Extracted
Our extractor captures every available field from the bank statement — not just the basic transaction row:
Transaction DateNormalised to ISO 8601 format
Value DateWhere provided by the bank
DescriptionFull narration text, no truncation
Debit AmountMoney out — numeric format
Credit AmountMoney in — numeric format
Running BalanceBalance after each transaction
Cheque NumberFor cheque transactions
Reference / UTRTransaction reference codes
Transaction TypeDD, NEFT, UPI, ATM, POS etc.
Account NumberMasked, from statement header
Statement PeriodStart and end date
Opening BalanceFrom statement header
Output Formats
Excel (.xlsx)
Best for analysis, Tally, Sage, budgeting. Dates as date values, amounts as numbers.
CSV
Best for QuickBooks, Xero, Wave, YNAB. Universal import format.
JSON
Best for developers and APIs. Structured with full metadata.
QBO
QuickBooks Online direct import. Native OFX/QBO bank feed format.
OFX
Quicken, Money, and banking apps. Standard open financial format.
Who Uses a Bank Statement PDF Data Extractor?
| User type | What they extract | What they do with the data |
|---|
| Accountants & CAs | All client bank transactions for the year | Tax preparation, bookkeeping, audit support |
| Mortgage brokers | 3–6 months of income and expense transactions | Affordability assessment, income verification |
| Loan underwriters | Transaction patterns, regular income, obligations | Credit risk scoring, automated decisioning |
| Developers | Structured JSON transaction data via API | Build personal finance apps, expense tools |
| Finance teams | Company bank account transactions | Monthly reconciliation, cash flow reports |
| Individuals | Personal transaction history | Budgeting, tax filing, expense tracking |
For Developers: PDF Data Extraction via API
If you need to extract data from bank statement PDFs programmatically — for a fintech app, lending platform, or accounting tool — use our REST API. Send a PDF, receive structured JSON back in under 5 seconds.
API features: POST endpoint accepts PDF as multipart or base64 · Returns JSON with all transaction fields · Webhooks for async processing · Bulk batch endpoint for high volume · SDKs for Python, Node.js, PHP · See API documentation →
Frequently Asked Questions
What is a PDF data extractor?
A PDF data extractor reads a PDF file and converts the unstructured positioned text into structured data like a spreadsheet or JSON. For bank statements, it identifies the transaction table, extracts each row with its correct columns, and produces output that can be used in software — unlike copy-paste which produces garbled text.
Is it better than Adobe Acrobat for extracting bank data?
Yes, for bank statements specifically. Adobe Acrobat's export to Excel is a general-purpose tool that does not understand bank statement structure. It cannot handle password-protected PDFs without the password, does not merge multi-page tables, and often extracts amounts as text. Our extractor is trained specifically on bank statement formats and produces significantly cleaner results.
How does OCR work for scanned bank statements?
For scanned PDFs, our OCR engine first enhances the image (deskew, denoise, increase contrast), then uses character recognition trained on financial documents to identify numbers and text. The recognised text is then processed through the same bank-format-aware extraction pipeline as digital PDFs, producing the same clean output.
What if I need to extract from hundreds of bank statements?
Use our bulk converter for up to 50 files at once via the web interface, or use our API for programmatic access to any volume. The API processes statements asynchronously with webhook notifications, making it suitable for high-volume lending, audit, or financial analysis workflows.
Extract Data from Your Bank Statement PDFs Now
Free · 98.9% accuracy · 93 banks · Excel, CSV, JSON, QBO output
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Related: Extract Table from PDF · Bank Statement Extractor · Bank Statement OCR · Bank Statement Parser · API Documentation