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PDF to Excel Converter — Free Table Extraction (.xlsx), No Upload

Extract PDF tables into a spreadsheet by detecting column positions. Check the output before trusting it — a blank cell can shift a whole row.

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PDF to Excel

Pulls the tables out of your PDFs into real .xlsx spreadsheets — one worksheet per table, several files at once. Works best on clean, grid-like tables — scanned tables need OCR first.

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About this tool

There is no table in a PDF

Only text at coordinates that a human eye reads as a table. There are no rows, no columns and no cells recorded anywhere; the grid you see is either drawn lines or, very often, nothing but alignment.

So converting to a spreadsheet means inferring where the columns are from where the text sits — clustering by starting position, with the tolerance scaled to the font size so a slightly ragged column still reads as one column.

Which makes every extracted table a reconstruction, and that has a consequence the rest of this page is about.

Where the inference breaks

  • Merged or spanning cells have no representation to recover, so they cannot be split back out.
  • A cell whose text wraps onto a second line can be read as a second row.
  • Right-aligned numbers beside left-aligned labels make the column boundary genuinely ambiguous.
  • Blank cells are the dangerous one. A gap where a value should be can shift every subsequent value one column left — and the result still looks like a perfectly valid table.
  • Multi-line headers, footnote rows and totals rows are not marked as different from data, so they arrive as data.
  • Tables continuing across a page break repeat their header, which then lands in the middle of the rows.

Therefore: verify, do not trust

That blank-cell failure is why this page insists on checking. A shifted column does not look broken. Every cell holds a plausible value of the right type, the row count is right, and nothing signals an error — you find out later, from a total that is wrong for no visible reason.

Two cheap checks catch it:

  1. Sample rows containing blanks. Pick a few and read them against the original PDF. Rows with gaps are where shifts start, so that is where to look rather than at the first ten rows.
  2. Total a numeric column and compare it with the total the PDF states. This is the strong check — a single misplaced value changes the sum, and eyeballing never catches what arithmetic does immediately.

Scanned documents

A scan holds a picture of a table, not text, so there is nothing to extract and no OCR is performed here. The test is the same as for any PDF: try to select the text in a viewer. If you cannot select it, no extractor will find it.

When this suits the job

It works well on a clean, machine-generated table with consistent alignment — which describes most bank statements, transaction exports and generated reports, and those are the files people most often need in a spreadsheet.

It works badly on a densely formatted document full of merged cells. And the honest advice for a small table of that kind is that retyping twenty rows is often faster than finding and fixing a misparsed column, especially once you factor in the risk of not spotting the error at all.

Everything runs in your browser and nothing is uploaded — which matters here, because the PDFs people convert to spreadsheets are overwhelmingly bank statements, invoices and payroll reports. For the words without any table inference, see PDF to text.

How to use the PDF to Excel Converter

Takes about a minute. No signup, no download, your data stays in your browser.

  1. 1
    Open the tool. Scroll up to the PDF to Excel Converter above — it loads instantly in your browser, no install needed.
  2. 2
    Enter your values. The fields come pre-filled with realistic defaults so you can see how it works — replace them with your own numbers.
  3. 3
    Read the result. The output updates instantly. Copy or share it — nothing is uploaded to a server, everything stays on your device.

Frequently asked questions

Common questions about the PDF to Excel Converter.

How do I know whether the extracted table is correct?

Total a numeric column and compare it against the total printed in the PDF. That is the check that works, because a single misplaced value changes the sum while looking entirely plausible in the cell. Also read a few rows that contain blank cells against the original, since those are where shifts begin.

Why did my values end up in the wrong columns?

Almost always a blank cell. Columns are inferred from where text starts, so a gap where a value should be lets everything after it shift one column left. The damaging part is that the result still looks like a valid table — right types, right row count, no error — which is why it needs checking rather than trusting.

Why did one row become two?

Because the text in a cell wrapped onto a second line, and there is nothing in the file marking those two lines as one cell. The same absence of structure means merged cells cannot be recovered and a repeated header at a page break arrives as a data row.

It returned nothing from my scanned statement. Why?

Because a scan is an image of a table rather than text, so there is nothing to extract, and no OCR is performed here. Test any PDF by trying to select its text in a viewer — if the cursor will not select it, no extraction tool will find it either.

When is retyping faster?

For a small table in a densely formatted document with merged cells. Finding and fixing a misparsed column in twenty rows usually takes longer than typing them, and it carries the risk of not noticing the error at all. Extraction earns its place on long, cleanly generated tables.

Is my PDF uploaded?

No, the extraction runs in your browser and the file never reaches a server. That matters particularly for this tool, since the PDFs people want as spreadsheets are almost always bank statements, invoices or payroll reports.

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