Documentric's bank statement OCR engine extracts every transaction from any PDF — whether it came straight from the bank portal or was faxed in 2009. Results in under 30 seconds. No templates. No setup. Powered by LlamaParse, the same AI engine used by enterprise document workflows — and 6x cheaper than DocuClipper.
50 free pages · No credit card required
Bank statement OCR (Optical Character Recognition) is the technology that reads text from a document image and converts it into structured data. For bank statements, that means identifying each transaction row — date, description, debit or credit amount, and running balance — and turning them into editable records you can verify and export to your accounting software. Documentric combines OCR with AI-powered table understanding via LlamaParse, so it does not just read characters; it understands the layout of a bank statement and maps each value to the correct field. Unlike competitors that rely on rigid templates, our PDF data extractor adapts to any bank format automatically — no configuration required.
A digital PDF is one you downloaded directly from your bank's online portal. It contains an invisible text layer — characters the computer can copy and paste. Extraction from digital PDFs is fast and nearly perfect.
A scanned PDF is a photograph of a paper statement, saved as a PDF. There is no text layer — just pixels. Documentric runs an OCR engine over each page to read the characters before structuring the data. Accuracy is slightly lower than digital PDFs but typically exceeds 97% on clean scans. You can review all extracted transactions before exporting, so any outliers are easy to catch and fix inline.
Three stages, fully automated. You upload — Documentric handles the rest.
Upload a digital or scanned PDF — or paste a URL. Documentric accepts any PDF regardless of which bank or software produced it.
For digital PDFs, the text layer is extracted directly. For image-based PDFs, LlamaParse OCR reads each page, detects columns, and corrects page rotation.
Dates, descriptions, debit/credit amounts, and running balances are mapped to a clean, editable transaction table. Review before you export.
Built for the variety of PDF bank statements that reach accountants, lenders, and investigators in real practice. Documentric's free tier gives you 50 pages with no account — DocuClipper offers zero free pages.
Extracts the embedded text layer from bank-generated PDFs at full fidelity — no image conversion required, no rounding errors.
Runs OCR on image-based PDFs including photocopied or faxed bank statements. Handles low-resolution scans and skewed pages.
Understands debit/credit column splits, running balance columns, and wrapped description text common in bank statement formatting.
Detects and corrects pages scanned sideways or upside-down before OCR runs, preventing misread rows and column shifts.
Powered by LlamaParse, Documentric achieves 99% extraction accuracy on standard digital statements and over 97% on clean scans.
No template configuration. Documentric reads Chase, Wells Fargo, Bank of America, HSBC, Barclays, and 10,000+ other bank formats out of the box.
Bank statement OCR tools vary widely in price, features, and ease of use. Here's how Documentric stacks up against market alternatives.
| Feature | Documentric | DocuClipper | MoneyThumb |
|---|---|---|---|
| Free tier | 50 pages, no account | None | None |
| Starter plan | $29/mo (500 pages) | $39/mo | $29/mo |
| Accuracy | 99% (digital), 97% (scans) | ~95% | ~93% |
| Processing speed | Under 30 seconds | 1-2 minutes | Desktop software |
| Banks supported | 10,000+ | 500+ | US banks only |
| Export formats | QBO, CSV, Excel | CSV, PDF | CSV |
Any professional who regularly receives PDF bank statements from clients or counterparties. Unlike other tools, Documentric includes a side-by-side review UI so you can verify and edit extracted transactions before exporting — no competitor offers this.
Clients often provide months of paper or scanned statements. Documentric converts them to structured data in seconds — no manual entry, no data-entry errors passed to QuickBooks.
Underwriters need 2–3 months of bank statements to verify income and reserves. Documentric extracts every deposit and debit in seconds, preserving exact dates and amounts for the loan file.
Investigators receive PDFs from multiple banks. Documentric converts every statement to a clean transaction table that can be exported to Excel for pattern analysis or timeline reconstruction.
Self-employed clients rarely categorize transactions. Documentric extracts the full year's activity from bank statements so preparers can categorize quickly rather than re-key from paper.
Digital PDFs achieve 99% accuracy. Scanned PDFs typically exceed 97% on clean scans. Heavily degraded images may reduce accuracy; Documentric displays a confidence indicator so you can spot-check manually.
Yes. Documentric automatically detects and processes both text-layer and image-only PDFs. No pre-processing required — upload as-is.
Documentric is optimized for machine-printed statements. Handwritten entries may extract partially. Printed statements with handwritten margin notes typically work fine — printed rows extract correctly.
Password-protected PDFs cannot be processed. Open in Adobe Acrobat Reader, print to PDF, and upload the unlocked file. Documentric does not store passwords.
Documentric handles English bank statements. Currency symbols (USD, GBP, EUR, CAD, AUD) extract correctly. French, Spanish, and German support planned for 2026.
Yes. Upload your scanned PDF, review extracted transactions in the side-by-side editor, make corrections, and export as CSV or Excel (.xlsx). The entire process takes under 30 seconds.