Free PDF to Word Converter

Convert text-based PDFs to editable DOCX files — detect headings, paragraphs and font sizes. No upload, no account.

Converting a PDF to Word extracts the text content and rebuilds it as an editable DOCX file using docx.js. This works best with text-based PDFs where you can select and copy text. The converter analyses font sizes to identify headings and body text, then reconstructs the document structure. Complex layouts, tables and images are not carried over — the focus is accurate text extraction.

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Click to select or drag & drop your PDF here

⚠️ Works best with text-based PDFs where you can select text. Scanned documents (image-only PDFs) are not supported.

How it works

1

Open a text-based PDF

It has to have a text layer — a scan contains only pixels.

2

Text extracted and regrouped

Lines are read in order and reassembled into paragraphs.

3

Download the .docx

An editable Word document. Complex layouts will need tidying.

The converter works by extracting text positions and font sizes from the PDF using pdf.js, then reconstructing paragraph and heading structure in a Word-compatible DOCX file using docx.js. This approach preserves text content accurately for simple documents. For scanned PDFs (which contain images of text rather than actual text), OCR is required — a process that runs server-side and is not available in this browser-based tool.

How Does PDF to Word Conversion Work?

PDF to Word conversion extracts text content from text-based PDFs using pdf.js, analyses font sizes to detect headings and body text, then reconstructs the document structure in DOCX format using docx.js. All processing happens in your browser — your document never reaches any server.

What survives the conversion is the text and its reading order. What does not is the layout: multi-column pages are flattened into a single flow, tables lose their cell structure, and images are dropped entirely. The output is a document you can edit, not a facsimile of the original. Complex multi-column layouts and tables may not convert perfectly — the tool focuses on accurate text extraction with basic structure preservation.

How the Conversion Works, and Where It Will Disappoint You

This converter reads the text layer of the PDF with pdf.js and rebuilds a document from it. Each text fragment carries its position on the page, so fragments sharing a vertical coordinate are grouped into lines and sorted left to right. The most frequently occurring font size is taken to be the body text size; lines set noticeably larger are treated as headings, and unusually large vertical gaps are read as paragraph breaks. The result is a genuine .docx with a paragraph structure you can edit, not a text file with a different extension.

Those heuristics work well on linear, text-driven documents — reports, letters, articles, contracts, papers. They work poorly on anything whose meaning lives in its layout. Multi-column pages are read across the columns rather than down them, because fragments at the same height are assumed to belong to the same line. Tables lose their grid and arrive as sequences of paragraphs. Images, logos, footnote links, headers and footers are not carried across. Precise typography, indentation and spacing are approximated at best.

The one hard limit is worth stating plainly: a scanned PDF produces an empty document. A scan contains images of text, not text, and there is no text layer to read. Recovering words from a scan requires optical character recognition, which this tool does not perform. If you open your PDF in a viewer and cannot select a sentence with the cursor, no text-extraction converter — this one included — will get anything out of it.

Frequently Asked Questions

Yes — free, no account, no file size limits.
No. Conversion runs entirely in your browser using pdf.js and docx.js.
Text content, paragraph structure and heading sizes are preserved. Complex layouts, tables, columns and images are not carried over.
PDF is a fixed-layout format — it does not store semantic structure like Word does. The converter reconstructs paragraphs from raw text positions, which works well for simple documents.
No. Scanned PDFs are images of text. Converting them requires OCR (optical character recognition), which is not available in a browser-based tool.