PDF to Excel

How to use PDF to Excel

1. 1

   Upload the PDF that contains your tables.

2. 2

   The tool detects tables and rows on each page.

3. 3

   Click Convert to export the data to a spreadsheet.

4. 4

   Download the .xlsx file and open it in Excel.

What PDF to Excel can and cannot recover

A PDF does not contain a table. It contains characters placed at coordinates, and the grid you see is a drawing around them. Converting PDF to Excel means reading those characters line by line, working out where one column ends and the next begins, and writing the result into spreadsheet cells. When the source was a well-spaced table — a bank statement, a price list, an exported report — this works well and the numbers land where you expect them.

This converter uses the gaps between text as its column detector: runs of wide spacing or tab characters on a line become cell boundaries, and every page of the PDF becomes its own worksheet in the .xlsx file. It is a fast, honest approach that keeps your data on your device, and knowing how it works tells you exactly when to expect a clean sheet and when to plan five minutes of tidying.

The cases that need a cleanup pass

Tables whose columns are separated only by thin ruled lines, with little whitespace between cells, may arrive with two columns merged into one cell. Cells that wrap onto a second line split into two rows. Merged header cells lose their span, and text that sits beside the table — notes, footers, page numbers — becomes extra rows.

None of that is destructive. The values are all there in the right order; Excel's Text to Columns feature, a quick sort or a filter usually finishes the job in less time than retyping a single page would take. Check totals against the PDF before relying on the figures, as you would with any conversion.

• Use Text to Columns with a space or comma delimiter to split a merged column.
• Sort by the first column to gather stray rows that belong together.
• Delete the leftover rows from headers, footers and page numbers.

PDF to Excel with OCR: converting a scanned table

If you searched for pdf to excel ocr, you most likely have a scan: a photographed invoice, a faxed statement, a printed table saved as an image PDF. There is no text in a scan to place into cells, so the converter stops and tells you that no selectable text was found. A quick test is to try selecting a number in your PDF viewer — if nothing highlights, you have an image.

The fix is a two-step workflow. Run the file through the OCR PDF tool first, which recognises the characters and adds a real text layer while keeping the page looking identical. Then convert that searchable PDF to Excel. OCR is accurate on clean printed tables and weaker on faint scans and handwriting, so proofread the digits — 0 and O, 1 and l, 5 and S are the classic confusions in financial data.

Financial data stays on your machine

Every step runs inside your browser, using the WebAssembly and Canvas APIs your device already ships with. No file is uploaded, no copy is kept, and nothing sits in a queue on a server waiting to be deleted — which is also why the tool keeps working with the network disconnected.

The documents people convert to Excel are almost always financial: statements, invoices, payroll summaries, expense reports, tax tables. Uploading those to a conversion server to save typing is a poor trade. Here the text extraction and the spreadsheet assembly both happen in your browser, free and without an account, and the .xlsx is written straight to your downloads folder.

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