ClearlyLedger reads scanned, image-only bank statement PDFs using on-device OCR and converts them to clean Excel or CSV. Statements are classified as text or scanned automatically, OCR runs on the client when needed for privacy, and balance verification confirms math accuracy before release. Recommended scan quality is 300 DPI or higher with skew under 7 degrees. For the general workflow, start with the bank statement converter and then choose the export format that matches your bookkeeping system.
Last updated 2026-06-06
300 DPI or higher with skew under 7 degrees gives best results. Below that, ClearlyLedger surfaces a quality warning before charging a page credit.
OCR for scanned PDFs runs in your browser by default to keep image data off our servers. The cleaned text is then processed for parsing.
English, Hindi, Spanish, French, German, Portuguese, Japanese and Chinese are tested. Mixed-language descriptions are handled within a single statement.
Handwritten entries are unreliable for financial accuracy and are flagged for manual review rather than auto-parsed.
Roughly 1–3 seconds per page in the browser depending on device. A 30-page statement typically completes in under 60 seconds.
No. Scanned PDFs and OCR text are processed in memory and deleted the moment your conversion completes.
Low-confidence rows are highlighted in the validation dialog before export so you can edit or re-scan.
Yes. ClearlyLedger handles multi-page scanned statements up to 20 MB per file with no page count limit on Pro and Business plans.
Scanned Bank Statement OCR to Excel explains how ClearlyLedger converts bank statement PDFs into spreadsheet-ready data while preserving transaction dates, descriptions, debit amounts, credit amounts and balances. The page is written for accountants, bookkeepers, finance teams and business owners who need reliable Excel or CSV output instead of manual copy-paste.
The converter checks extracted rows against statement balances wherever the PDF provides enough information. That means opening balance plus credits minus debits should reconcile to the closing balance before you use the exported file in bookkeeping, tax preparation, lending review or account reconciliation.
ClearlyLedger exports clean Excel and CSV files for spreadsheet review and accounting workflows. Source PDFs are processed securely, are not used to train AI models, and are deleted after processing according to the site's data-retention policy. The same conversion workflow supports recurring close, tax, lending and reconciliation review.
The extraction flow separates statement chrome from transaction rows, normalizes date and amount formats, preserves long descriptions, and flags rows that need human review. The goal is not only to create a spreadsheet, but to create an audit-friendly file that can be filtered, sampled, and reconciled before it enters QuickBooks, Xero, Excel, or a lender review pack.
Accountants use ClearlyLedger when clients send historical PDFs instead of bank feeds. Bookkeepers use it for monthly close and catch-up work. Finance teams use it for reconciliation, cash-flow analysis, loan applications, tax preparation, and multi-bank review where manual copy-paste would be slow and error-prone.
Before importing the file into accounting software, review the statement period, opening and closing balances, any low-confidence rows, and the first and last transaction on each page boundary. These checks catch the mistakes most common in PDF extraction: repeated headers, skipped wrapped descriptions, subtotal rows, sign reversals, and dates that were inferred from a statement period rather than printed on every row.
For client work, keep the original PDF beside the exported spreadsheet during review. The PDF remains the source document, while the Excel or CSV file becomes the working ledger used for filtering, coding, reconciliation, and upload into downstream bookkeeping systems.
Use these canonical pages to compare formats, verify data handling, and move from PDF extraction into accounting review.
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