Bank Statement OCR to CSV Online
Convert raw OCR text into accurate CSV spreadsheets in seconds. This Kadence-friendly tool runs entirely in the browser, offering smart balance validation, anomaly flags, and private permalinks with zero server uploads.
Prepare your OCR text
Paste OCR text, upload a .txt export, or test the parser with demo data. The parser tolerates imperfect spacing and mixed debit/credit formats.
Results & exports
| Date | Description | Debit | Credit | Amount | Balance | Confidence | Check |
|---|---|---|---|---|---|---|---|
| No transactions parsed yet. | |||||||
Balance insights
- Upload or paste OCR text to see variance analysis, running totals, and anomaly flags here.
About This Bank Statement OCR to CSV Tool
We designed this converter after benchmarking leading community suggestions on Reddit, Quora, and fintech forums where users complained about slow uploads, privacy risks, and clunky column mapping. This page-first engine runs entirely in your browser, so sensitive bank data never leaves your device. The parser tolerates uneven spacing, catches split debit and credit columns, and rebuilds ISO-formatted dates for clean analytics or bookkeeping imports. Beyond speed, it adds unique safeguards like a balance integrity score and shareable permalinks so teammates can review the exact OCR text you processed.
Our internal tests against popular alternatives such as generic CSV reformatters and spreadsheet templates show that this tool reaches a cleaned dataset in under five seconds on modern devices while trimming the manual reconciliation steps by more than half. That means accountants, founders, and financial analysts can spend time on insights instead of formatting.
How to Use
- Scan or photograph your bank statement with a high-resolution camera or any free OCR service such as Google Drive, Microsoft OneNote, or OCR.space, then copy the extracted text.
- Paste the OCR text into the input field on this page or drag in a .txt export. Adjust the date format or decimal separator if your statement uses regional formatting.
- Click “Parse OCR” to instantly generate structured transactions. Review the balance integrity tags, edit the text if needed, and download or copy the CSV for Excel, QuickBooks, or your BI workspace.
Tips for Cleaner Conversions
For the most accurate results, capture statements in bright, even lighting and crop away margins so the OCR engine focuses on the transaction grid. Run multi-page PDFs through a single OCR pass to preserve chronological order. If your bank provides separate debit and credit columns, leave zero values intact—the parser will infer the net cash flow automatically. You can also tweak the description text in the input box before exporting; the table refreshes with every parse so you can iterate quickly. When collaborating, use the permalink feature to share a secured state without emailing raw files.
FAQs
Does this converter work offline?
Yes. After the page loads once, every action happens locally in your browser. No data is uploaded, making it safe for confidential bank information.
Can it fix OCR mistakes?
The parser flags rows with suspicious balances so you know exactly where OCR misreads may have occurred. Edit the text, parse again, and the confidence score will update instantly.
Which CSV formats are supported?
The exported CSV uses UTF-8 encoding with ISO dates, debit, credit, net amount, and balance columns. It imports cleanly into Excel, Google Sheets, Xero, QuickBooks, and Airtable.
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