Bank Statement & PDF Tables to Excel — Privately
This tool reads the text inside a digital PDF along with its exact position on the page, reconstructs the rows and columns, and writes a real .xlsx file — with amounts converted to genuine numbers (including Indian-format figures like 1,23,456.78) so they sum, sort, and filter immediately in Excel. A live preview shows the detected table before you download.
Crucially for bank statements: the file never leaves your device. Uploading months of transactions — balances, payees, account numbers — to an unknown conversion server is exactly what you should not do with financial data. Here, extraction runs in your own browser.
Getting the Best Result from a Bank Statement
- Use the e-statement downloaded from net banking, not a scan of a printed copy. E-statements are digital PDFs with a text layer; scans are photographs and need OCR first.
- Remove the password first. Bank PDFs are usually locked with your account number or date of birth — see the safe on-device methods in our password removal guide.
- Keep "one continuous sheet" so a multi-page statement becomes one uninterrupted transaction table.
- Expect light cleanup. Header/footer lines from each page land as ordinary rows — sort or filter them out in Excel. Long descriptions that wrap across two PDF lines arrive as two rows.
What This Tool Doesn't Do
It doesn't OCR scanned documents, and it doesn't guess at tables in free-flowing prose — it reconstructs what is positionally laid out as columns. For extracting plain paragraphs instead, use PDF to Text; for an editable document, use PDF to Word.