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Tooletto

PDF to Word

Pulls the actual text out of a PDF and reflows it into a new Word document as paragraphs — fast, free, and processed entirely in your browser. This is a text-only conversion: images, tables and the original layout are not carried over.

  • Files never leave your device
  • Free, no signup
  • No watermarks
  • Works offline once loaded
  • Beta
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How to pdf to word

  1. 1

    Add your PDF

    Drop the document onto the page, or choose it from a file picker.

  2. 2

    Text is extracted automatically

    Every page's text is read and reflowed into paragraphs — this starts as soon as the file is added, no options to set.

  3. 3

    Download the .docx

    Save the converted Word document and open it in Word, Google Docs or LibreOffice.

How PDF text extraction actually works

A PDF page has no concept of "paragraphs" or "headings" the way a Word document does — internally it is a set of positioned text runs, each one saying, in effect, "draw these characters at this exact x,y coordinate, in this font." There is no outline, no document structure, not even a reliable notion of where one line ends and the next begins; a PDF viewer reconstructs the visual appearance of a page by painting every text run at its stated position, and a person reading the result perceives lines and paragraphs only because the positions happen to line up that way. Converting a PDF to an editable document means working backwards from that: grouping text runs that share a similar vertical position into lines, then noticing where the vertical gap between one line and the next is unusually large — a signal that a paragraph just ended — and treating that as a paragraph break. This is fundamentally a reconstruction from position data, not a reading of some hidden document structure, and it is exactly why the original formatting cannot be recovered: there was no structured formatting information in the file to recover in the first place, only where ink was placed.

Why OCR is a different problem, and deliberately out of scope

It is easy to assume "reading a PDF" and "reading a scanned page" are the same task with the same tool, but they solve genuinely different problems. Text extraction, what this tool does, reads text that a PDF already stores as text — character codes and positions, the same data a PDF viewer uses to let you select and copy a sentence. OCR (optical character recognition) solves a much harder problem: looking at a page that is only a picture, with no text data anywhere in the file, and using image recognition to guess what letters and words the picture depicts. That is a fundamentally heavier undertaking — it involves image processing, character recognition models, and inherent uncertainty about what the "right" answer even is, none of which apply when the text is already sitting there as text. Bundling a full OCR engine into a tool whose whole appeal is running instantly in your browser would trade away the speed and simplicity that make this tool useful for the minority of PDFs that happen to be scans. A scanned, image-only PDF is a real and common case, and this tool says so plainly in its results rather than silently producing an empty document — but solving it properly means reaching for a dedicated OCR tool, not stretching this one past what it honestly does.

Why reflowing text beats attempting to fake the original layout

A more ambitious converter could try to recreate the original page's layout — placing text in boxes at approximately the right coordinates, guessing at columns, attempting to reproduce fonts. In practice this produces a document that looks superficially similar to the original but is nearly impossible to actually edit: text sitting in disconnected floating boxes rather than flowing paragraphs, reflowing badly the moment anything is added or removed, and fighting the user at every edit. Reflowing the extracted text into ordinary paragraphs instead — the approach this tool takes — deliberately gives up on visual resemblance in exchange for a document that behaves the way a Word document is supposed to: type at the end of a paragraph and it wraps normally, delete a sentence and the rest of the page reflows the way word processors have always worked. For the common goal of getting a PDF's words into an editable document — to quote, revise, repurpose or translate — that trade is the right one, and it is why this tool does not try to be a layout-preservation tool wearing a text-editor's clothing.

Frequently asked questions

Will the Word document look exactly like my PDF?

No, and it is not trying to. This tool extracts the actual text from each page and reflows it into ordinary paragraphs in a new Word document. Images, tables, columns, and the original fonts and layout are not carried over. If you need the text itself — to quote, edit or repurpose it — that is exactly what this produces; if you need a pixel-for-pixel editable replica of the original page design, no automated converter genuinely delivers that, and this one is upfront about the trade-off rather than pretending otherwise.

Is my PDF uploaded anywhere?

No. Both the text extraction and the Word document creation happen inside your browser — the PDF never leaves your device. There is no server involved and nothing to upload, which matters for contracts, resumes or anything else you would rather not send anywhere.

Why did I get an empty or near-empty document?

This tool reads text that is already embedded in the PDF as text — the same information a PDF viewer lets you select and copy. A PDF that is really just a photo or scan of a page, with no underlying text layer, has nothing for this tool to read, so the result comes back empty or nearly so. This tool does not perform OCR (optical character recognition, which reads text out of an image) — it only extracts text that already exists as text. If your document is a scan, you need an OCR tool, not this one.

What kind of output quality should I expect?

For an ordinary text-based PDF — reports, letters, articles, exported documents — the extracted text is accurate and the paragraph breaks generally land in the right places. Multi-column layouts, tables and text inside images are the cases where a text-reflow approach shows its limits, since the extraction has no real concept of columns or cells, only text positioned on a page. For anything beyond plain body text, expect to do some manual cleanup after opening the .docx.

Can I convert multiple PDFs at once?

Yes — drop up to 10 files at a time and each is converted to its own .docx, downloadable individually or together as a ZIP.