Turn any bank statement — PDF or image, scanned or native — into clean transaction data you can open in Excel. No templates, no manual typing, no reformatting.
Three steps, about a minute, no technical knowledge required.
Drag and drop a PDF, JPG or PNG — a digital export from your bank or a scan of a paper statement. No reformatting needed.
The AI reads every transaction row — date, description, debit, credit and running balance — and structures it correctly, even on dense multi-column layouts.
Download the result as Excel, CSV or JSON. Every column lands where it should, ready to reconcile or import into your accounting software.
Everything you need to know about the bank statement converter.
All of them. DocInterpreter reads the statement layout itself rather than relying on a per-bank template, so it works with statements from any bank or credit union without any setup.
Yes. Scanned PDFs and photos are treated as first-class inputs, not an edge case. Many converters only handle native text-based PDFs and fail silently on scans — DocInterpreter uses OCR and AI to read both.
Excel (XLSX), CSV and JSON. You can download any of them in one click after the extraction finishes.
Uploaded files are stored on encrypted AWS S3 storage, transferred over HTTPS and kept only as long as needed to deliver your results. Your documents are never used to train models.
You get 5 free credits when you sign up, with no credit card required. After that, paid plans start at $15/month. Credits are only deducted when an extraction succeeds.
Yes. Alongside automatic AI extraction, the OCR tool lets you draw the table boundaries and place row and column dividers yourself — useful for unusually dense or non-standard statement layouts.
Same engine, same account, same credits — for the other documents you deal with.
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