Local Tesseract OCR · manual review required

Scanned bank statement converter with reviewable OCR

Turn a scanned bank statement PDF into editable transaction rows. StatementExport runs Tesseract OCR locally within its application infrastructure, then gives you confidence details and source evidence for manual review.

Upload a scanned PDF See the review workflow

First eligible PDF up to 5 pages: full CSV/XLSX free · 25-row sample otherwise · PDF only · password-protected files rejected

Local OCR pipeline

Digital text is tried first. Scanned pages use Tesseract OCR within StatementExport infrastructure, not an external OCR or AI extraction provider.

Evidence-led review

Confidence details and recorded source-page evidence help you compare extracted fields with the PDF before correcting them.

Editable CSV and XLSX output

Correct dates, descriptions, amounts, balances, and statement details before creating a full CSV or XLSX export.

What bank statement OCR does, and what it cannot guarantee

A digital PDF may already contain usable text. StatementExport tries that text first and falls back to local Tesseract OCR for scanned pages. OCR turns page images into characters; the extraction pipeline then maps likely dates, descriptions, debits, credits, and balances into rows.

Image quality, skew, faint print, stamps, handwritten notes, unusual tables, and similar-looking characters can cause omissions or incorrect values. OCR can split one transaction, merge two transactions, or confuse characters such as O and 0. It may also fail to find usable rows.

The preview is therefore a review workspace, not a promise of perfect extraction. Use confidence labels, warnings, source-page evidence when recorded, and reconciliation details to compare the result with the original. Correct the rows before exporting or using them for bookkeeping.

Local means processing inside StatementExport application infrastructure, not on your device. Configured hosting, storage, database, and operational providers still process data as described in the Privacy Policy.

Synthetic OCR example

A low-confidence character should be checked, not guessed

This fictional scan shows how similar characters can affect an amount. The corrected row is marked as manually reviewed.

Synthetic source scan · page 2

SAMPLE BANK STATEMENT

06/03 COFFEE H0USE 18.5O-

06/04 CLIENT TRANSFER 1,250.00+

06/05 SERVICE FEE 12.00-

Reviewed preview

Reviewed preview
Date	Description	Amount	Review status
2026-06-03	Coffee House	-18.50	Low · corrected manually
2026-06-04	Client transfer	+1,250.00	High · checked
2026-06-05	Service fee	-12.00	High · checked

Synthetic data only. Confidence helps prioritize review but does not prove that a value is correct.

Review tools

Move from OCR output to checked transaction data

Focus on uncertain fields

Filter low-confidence rows and warnings so likely problem areas are easier to inspect. High confidence still requires review.

Compare with the source

Open recorded page and field evidence to see where a value came from while the original is still available.

Correct before export

Edit or remove transaction rows, update statement metadata, and confirm the review before relying on CSV or XLSX output.

OCR workflow

From scanned PDF to reviewed spreadsheet

1. Upload an unlocked PDF

Choose one PDF up to 25 MB and 50 physical pages. Password-protected PDFs are rejected, so save an unlocked copy first.
2. Extract text locally

The worker tries embedded PDF text and uses local Tesseract OCR for scanned pages before mapping transaction fields.
3. Compare and correct

Review confidence, warnings, source evidence, totals, and statement details. Fix omissions or OCR mistakes in the preview.
4. Export the reviewed rows

Create CSV or XLSX after review. The first eligible PDF up to 5 pages in each 24-hour guest session exports in full for free; PDFs over 5 pages or files uploaded while another PDF owns the free slot receive a sample of up to 25 transactions.

Important limitations

OCR output always needs human review

StatementExport does not guarantee that OCR will work for every statement or that every extracted value is correct.

Blurry, rotated, cropped, low-contrast, photographed, or heavily marked pages can reduce recognition quality.
Unusual layouts and multi-line transactions can be omitted, split, merged, assigned to the wrong column, or left without usable rows.
Confidence and reconciliation signals help direct review; they cannot detect or prove the absence of every error.
Only PDF files up to 25 MB and 50 pages are accepted. Password-protected PDFs are rejected.
Source evidence depends on recorded extraction data and on the original still being available during its scheduled retention window.

OCR questions

Scanned bank statement converter FAQ

Can OCR read every scanned bank statement?

No. Image quality and layout can cause missing, split, merged, or incorrect values, and some scans may produce no usable rows. Every OCR result requires review.

Where does Tesseract OCR run?

It runs within StatementExport application infrastructure, not on your device and not through an external OCR or AI extraction provider. Operational infrastructure providers still process data as disclosed.

How can I check an OCR value?

Use confidence details, warnings, reconciliation information, and recorded source-page evidence, then correct the row in the preview before export.

Which scanned files can I upload?

Upload a PDF up to 25 MB and 50 pages. Password-protected PDFs are rejected; save an unlocked copy before uploading.

Which formats can I export after review?

CSV and XLSX are available. The first eligible PDF up to 5 pages in each 24-hour guest session exports in full without sign-up or a card; PDFs over 5 pages or files uploaded while another PDF owns the free slot receive a sample of up to 25 transactions.