PDF to Word Converter
Extract the text from a PDF into a real, editable .docx file. Headings are detected automatically from font size, and password protected PDFs are supported. Runs entirely in your browser.
Click or drop a PDF
Text-based PDFs · processed on your device, never uploaded
How This PDF to Word Converter Works
This tool uses pdf.js to read every piece of text on the page along with its exact font size, groups nearby text into lines, and compares each line’s font size against the page’s typical body text size to guess which lines are headings. The result is assembled into a real .docx file using the docx library, entirely in your browser.
Because this approach reconstructs text and structure rather than cloning an exact visual layout, it works best for text heavy documents like reports, articles, and letters. Complex multi-column layouts, tables, and precisely positioned graphics are flattened into plain paragraphs in reading order rather than reproduced pixel for pixel, if you need an exact visual copy, converting to PDF and printing is usually the better path.
What This Tool Does
How to Convert a PDF to Word
Upload your PDF
Drop a PDF file. Enter the password if it is protected.
Check the preview
Confirm the extracted text on page 1 looks right.
Tune heading sensitivity
Adjust if too many or too few lines are becoming headings.
Convert and download
Click Convert to Word and save the finished .docx file.
How Heading Detection Works
PDFs store character shapes and sizes, not semantic tags like a Word document’s Heading 1 style. This tool infers structure from relative size instead.
line font size 18px vs. page median body size 11px → ratio 1.64x
Every line’s dominant font size is compared to the median size across the whole page. If the ratio clears your Heading Sensitivity threshold, for example 1.2x, the line becomes a bold Heading 2 paragraph in the .docx output instead of regular body text.
FAQ: PDF to Word Converter
No, this tool extracts the text content and reconstructs paragraph breaks based on line position, but it does not preserve exact fonts, colors, images, tables, multi-column layouts, or precise positioning from the original PDF. It’s best suited for getting text-heavy content (reports, articles, letters, contracts) into an editable format quickly, expect to do some manual formatting cleanup afterward for anything beyond plain paragraphs.
PDFs can contain either real, selectable text or a scanned image of a page (essentially a photograph of text) with no underlying text data at all. If a PDF page is a scanned image, there is no text for pdf.js to extract, since the words only exist as pixels, not as characters. Converting scanned documents to editable text requires OCR (optical character recognition), which is a different technology this tool doesn’t currently include.
Not with this tool as-is, since it extracts existing text data rather than recognizing text within images. If your PDF was created by scanning a paper document, look for a dedicated OCR tool, some PDF readers and online services include OCR specifically for this purpose, which analyzes the image pixels to guess the characters present.
Yes, the tool constructs a genuine, valid .docx file following the real Office Open XML format that Word, Google Docs, LibreOffice, and Apple Pages all use and understand, it is not a renamed text file. It contains standard Word paragraphs that you can immediately select, edit, format, and save like any other Word document.
No, both the text extraction (via pdf.js) and the Word document construction (via JSZip) happen entirely in your browser using JavaScript; your PDF’s content is never transmitted anywhere. This also means the tool works without an internet connection once the page and its libraries have loaded.
PDF files don’t always store text in reading order or with explicit space characters between every word, sometimes spacing is achieved purely through positioning rather than actual space characters in the underlying data. The extraction logic makes a best effort to insert spaces based on line grouping, but unusual PDF encodings, multi-column layouts, or tables can occasionally produce text in an unexpected order or with missing spaces that need manual correction.
No, encrypted or password-protected PDFs can’t be read by the browser-based extraction library. You’ll need to remove the password protection first, using Adobe Acrobat, an online PDF unlock tool, or the software that created the PDF, before uploading it here.
There’s no hard page limit built into the tool, since everything runs locally in your browser’s memory rather than through a server upload quota, but very long documents (hundreds of pages) will take longer to process and may be slower to preview and scroll through than shorter ones.