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 converter at /bank-statement for transaction rows in Excel, CSV or JSON. It also tells you whether the statement reconciles.
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 Excel, CSV, or JSON transaction rows?
Use the bank statement converter at /bank-statement. It returns the transactions as Excel, CSV or JSON and tells you whether the statement reconciles. Scanned statements and photos are read with OCR and may need more review; check dates and descriptions against your statement.
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 →