Scanned documents

Bank Statement OCR

Paper statements, faxed copies and phone photos have no text layer to extract — they need OCR. Upload a scan or image and the pipeline recognizes the text, reconstructs the transaction table and exports the same structured data as a native PDF would produce.

Drop your bank statement here

PDF, JPG or PNG · up to 25 MB

No signup required · Files deleted after processing · How files are handled

Works with statements from 1,000+ banks

OCR tuned for financial documents

Generic OCR struggles with statements: dense tables, small fonts, dot leaders and right-aligned numerals invite misreads like 0/O and 1/l that silently corrupt amounts.

Financial-document OCR combined with balance validation catches these: when a recognized amount breaks the running balance chain, the row is flagged with reduced confidence instead of passing through silently.

Getting the best results from scans

Recognition quality tracks input quality. A few habits make a large difference:

  • Scan at 300 DPI or photograph straight-on in even light
  • Keep the full page in frame including column headers
  • Prefer the bank's original PDF whenever it can still be downloaded

Frequently asked questions

When does OCR run instead of normal extraction?
Automatically, whenever a document has no usable embedded text layer. Native extraction is used when available because it is more precise.
How accurate is OCR on bank statements?
Clean 300 DPI scans typically extract with high accuracy, and every row carries a confidence score plus balance validation so low-quality rows are flagged rather than hidden.
Which image formats are accepted?
JPG and PNG images, and PDFs containing scanned pages.

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