Extract Tables from PDF to Excel
Bank statements, price lists, lab reports, financial statements — OhMyOCR detects tables in digital and scanned PDFs, rebuilds them as real grids, and lets you verify any cell against the original page before it reaches your spreadsheet.
How it works
- 1
Upload the PDF — scanned documents and photographed pages work too.
- 2
The parser detects each table's structure — rows, columns, headers, merged cells — and you can verify any cell against the page, fixing misreads inline.
- 3
Export to .xlsx or CSV — one table, one sheet, structure intact.
Why OhMyOCR
Table-aware parsing
Rows, columns, headers and merged cells detected as structure — digital and scanned PDFs alike.
Cell-level verification
Click a cell to see its exact region on the page; low-confidence reads are flagged for review first.
Clean spreadsheet export
Native .xlsx and CSV output — one table per sheet, corrections carried into the file.
Multi-page reports
Tables that continue across pages stay separate and ordered; a long report becomes a tidy workbook.
Why PDF tables resist copy-paste
Copying a table out of a PDF almost never survives the trip: columns collapse into one, headers detach from their data, and merged cells scatter. Scanned PDFs are worse — there is no text layer to copy at all. Either way you end up retyping, and retyping numbers is where errors are born.
OhMyOCR treats the table as a structure, not a stream of text. It detects rows, columns and merged cells on each page — digital or scanned — and rebuilds the grid, so what you 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 is invisible until a total refuses to reconcile. Every extracted cell stays linked 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 the difference between a converter and 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. Text around the tables is extracted too, in case you need the context.
If the document is a bank statement 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. Recognition quality depends on 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 preserved in the grid. Extremely dense or hand-drawn tables may need a few inline fixes — flagged cells show you where to look.
What does it cost?
Parsing costs 1 credit per page. The free monthly credits are enough to try a real document — no card 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