OCR Scanned Bank Statements
Turn statement scans and photos into searchable text, then bridge to structured data when the workflow needs it.
Drop your file here
PDF, PNG, JPG, WebP, BMP
Challenges in Bank Statement OCR
- Aligning numbers and text rows across wide columns.
- Extracting text near borders and gridlines.
- Recognizing tiny transaction description fonts.
- Maintaining precise decimal points and currency symbols.
Visible Table Text
Reads text from statement tables, although raw OCR may not preserve every column relationship.
Currency & Decimal Recognition
Reads visible decimal points, currency symbols, and negative amounts for comparison with the source.
Multi-Page Statement Support
Reads visible text from multi-page statement PDFs in page order.
Raw Text for Source Review
Makes scanned statement text searchable and copyable before any separate structured extraction step.
Structured Data Bridge
Use the bank statement workflow for structured JSON, CSV, or best-effort XLSX plus a balance and source review signal.
Frequently Asked Questions
Can I convert a scanned bank statement to text?
Yes. Upload a scanned PDF or a clear statement photo to extract the visible text and table rows. OCR output still needs comparison with the original for important amounts.
How do I get JSON, CSV, or XLSX transaction fields?
Use the Bank Statement Converter at /bank-statement. It adds structured fields and balance/source checks that produce a review signal; XLSX is a best-effort export.
Need Multi-Page PDF OCR or Batch Processing?
Extract text from scanned PDFs, translate into 65+ languages, or process up to 25 files at once on the main FastOCR engine.
Explore Main FastOCR Engine →