Drop a PDF to convert to Word
Extracts real, editable text — processed entirely in your browser
Works with any file size -- files over 50MB may just take a little longer
What is this tool?
Converts a PDF into an editable Microsoft Word (.docx) document, preserving real font size, bold/italic, and color -- not just plain uniform text -- and automatically detecting and reproducing real tables wherever they appear, mixed freely with normal paragraphs on the same page. Handles text-based, scanned, and hybrid PDFs (a mix of both in the same file) automatically -- each page is judged on its own, so a scanned page mixed into an otherwise text-based document still gets read correctly instead of coming out blank. Images embedded in a text-based PDF (photos, logos, diagrams, signatures) are extracted and placed at their real original position on the page whenever possible, rather than just appended after the text. A page that's mostly a graphic or illustration, where OCR wouldn't produce anything meaningful, is embedded as an image instead of forcing garbled, nonsensical text into the document.
How to use it
Upload your PDF and the tool converts it automatically -- tables are detected and rebuilt as real, editable Word tables on their own, no need to tell it a table is coming. If any part of the document turns out to be a scan or photo with no selectable text, that part is automatically read with OCR instead -- this takes noticeably longer per page, since it has to be read visually rather than just having its text copied out. OCR recognizes both English and Hindi automatically, no need to say in advance which one a scanned page uses. Download the resulting .docx file and open it in Word or any compatible editor to make your changes.
This stays a real, normally-editable Word document -- text flows and reflows the way Word text always does, it isn't a fixed-position copy of the PDF page. That means small spacing and line-break differences from the original are normal and expected; the words, structure, formatting, and images are what carry over accurately. Table detection looks for a genuine grid -- several consecutive rows of content that visibly line up into columns -- and treats everything else on the page as normal paragraph text, so a table and surrounding prose on the same page are both handled correctly without needing to choose one mode for the whole document. Table columns are sized proportionally to how they actually appeared in the PDF, not forced into equal widths. An unusually irregular layout can still occasionally be misread; check the result before relying on it for anything important. Color detection covers plain Gray/RGB/CMYK fill colors -- text colored via a pattern or specialty color space is left at its default rather than risking the wrong color. Hindi text extracts as real, correct, fully editable Unicode text -- it's automatically given a font that actually has Devanagari characters, since Word's default font typically doesn't. One honest limitation that remains: an image embedded *within* a page of scanned text (rather than a real text-based PDF) isn't separately extracted -- OCR reads the text, but a photo or stamp sitting inside a scanned page doesn't get pulled out as its own image the way it would from a text-based PDF's real image objects.
Watch: PDF to Word in Action
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Next: PDF to Excel
For any tables as real spreadsheet data
Frequently asked questions
How to use PDF to Word
Beyond the automatic table detection, font/formatting preservation, and mixed-page OCR already described above, it's worth knowing what happens with more unusual documents specifically: a PDF that's mostly image or illustration content, where OCR genuinely wouldn't produce anything meaningful, gets that content embedded as an actual image in the resulting Word document rather than the tool forcing garbled, nonsensical extracted text onto the page.
When to use it
Beyond general editing, this is specifically useful for a document you received as a final, locked-down PDF but need to genuinely edit -- a contract template you need to adapt, a form you need to fill in beyond what a PDF form-filler allows, or an old scanned document you want to actually update rather than just read. It also handles a real, common edge case well: a document that's a genuine mix of real text and scanned pages within the same file (a contract with an original typed body plus a scanned, signed final page, for instance), converting each page correctly according to what it actually is rather than needing the whole document to be one type or the other.
When not to use it
If you only need to read or extract plain text from a PDF without needing an editable Word document specifically, a simpler PDF-to-text extraction is faster and produces a smaller, simpler output than a full .docx conversion. For a PDF that's genuinely just a container for a few images with minimal text (a scanned photo album with captions, for instance), extracting the images directly rather than converting the whole thing to Word may be more useful than a Word document built around image placeholders. If what you actually want is a searchable, selectable-text PDF -- keeping the original PDF format rather than switching to Word -- OCR PDF is the more direct tool: it adds a real text layer to a scanned PDF while keeping it a PDF, rather than converting it into a different, editable document format.
Tips for best results
For a document with an unusual layout you're not sure will convert cleanly, do a quick test conversion first and check the result before relying on it for something time-sensitive -- most documents convert cleanly, but an unusually complex layout is worth verifying ahead of when you actually need the final file. If a scanned page's OCR text comes out with obvious character-recognition errors, it's often a scan-quality issue rather than a language or content problem -- a higher-resolution re-scan of that specific page, if you have access to the original document, will usually convert more accurately than trying to fix the errors by hand afterward.
Limitations
OCR accuracy depends on scan quality -- a clear, high-resolution scan converts far more accurately than a blurry photo of a document or a low-quality fax-style scan, and unusually stylized fonts or handwriting aren't reliably recognized by OCR at all. An unusually irregular page layout (text wrapping around images in complex ways, multi-column layouts with mixed content) can occasionally be misread; always review the result before relying on it for anything important, same as with any automated document conversion.
Privacy
Conversion, including the OCR step for scanned pages, runs entirely in your browser -- your PDF is never uploaded to a server for processing, and the OCR engine itself runs locally using your browser's own processing power, which is also why OCR on a longer scanned document takes noticeably longer than a purely text-based one.
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