Extract Tables from PDF to Excel
Convert PDF to Excel free without retyping: bank statements, price lists, lab reports and financial statements are detected as tables — scanned pages included — rebuilt as real grids. Any cell can be verified against the original page before it lands in your spreadsheet.
How it works
- 1
Upload the PDF — scanned documents and photographed pages work the same.
- 2
The parser detects each table's structure — rows, columns, headers, merged cells — and you can click any cell to check it against the page, fixing misreads in place.
- 3
Export to .xlsx or CSV — one table per sheet, structure intact.
Why OhMyOCR
Table-aware parsing
Rows, columns, headers and merged cells are read as structure — digital and scanned PDFs alike — not as a wall of text.
Cell-level verification
Click any cell to see its exact region on the page; low-confidence reads get flagged for review before export.
Clean spreadsheet export
Native .xlsx and CSV output — one table per sheet, with your corrections already applied.
Multi-page reports
Tables that run across page breaks stay separate and ordered — a long report comes out as a tidy workbook.
Why PDF tables resist copy-paste
Copying a table out of a PDF rarely survives the trip: columns collapse into one, headers detach from their data, merged cells scatter. Scanned PDFs are worse — there's no text layer to copy at all. Either way you're retyping, and retyping numbers is where errors are born.
OhMyOCR treats the table as structure, not as a stream of text. It detects rows, columns and merged cells on each page — digital or scanned — and rebuilds the grid, so the export is a native spreadsheet, not a text blob to re-tabulate.
Check the numbers before your spreadsheet trusts them
A misread digit in a table stays invisible until a total refuses to reconcile. Every extracted cell links to its exact region on the source page: click a cell, see the original, fix it in place. Low-confidence reads are flagged first, so you review the risky cells — not all of them.
That verification step is what separates a converter from a workflow you can sign your name to, especially for bank statements, invoices and anything that feeds accounting.
Multi-page tables and mixed documents
Long reports carry tables across page breaks and mix them with paragraphs and charts. Parsing runs page by page and keeps each table separate, so a hundred-page report becomes a workbook of clean sheets rather than one merged mess. The text around the tables is extracted too, in case you need the context.
For bank statements specifically, the dedicated bank-statement workflow adds running-balance checks on top of extraction — the math is verified, not just transcribed.
Frequently asked questions
Does it work on scanned PDFs with no text layer?
Yes. Scanned pages go through OCR first, then table detection. Quality follows the scan, which is exactly why every cell stays checkable against the page.
What about merged cells and complex layouts?
Merged cells are detected and kept in the grid. Very dense or hand-drawn tables may need a few inline fixes — the flagged cells point you straight to them.
What does it cost?
Parsing runs 1 credit per page. The free monthly credits cover a real document, and no card is required.
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Try it on your own file
Free to start, no credit card, results you can verify line by line.
Get started — free