Extract text to .docx; scanned PDFs use OCR automatically when needed

PDF to Word extracts readable text from a PDF and packages it into an editable .docx file. For PDFs created from Word or exported with a proper text layer, extraction is fast and reasonably accurate. For scanned documents — pages that are essentially photographs of paper — the tool can run OCR (Optical Character Recognition) to detect characters in multiple languages.

This helps when you need to quote, edit, or translate content locked in a PDF, but you should expect layout differences from the original. It is not a replacement for Adobe Acrobat's full PDF-to-Word export for complex magazines or legal briefs with footnotes.

Input: standard PDF (.pdf). Output: .docx (Word 2007+ format). Options include enabling OCR and selecting OCR language (English, Chinese, Japanese, Korean, and 15+ others).

Text-based PDFs: disable OCR for faster results. Scanned PDFs: keep OCR enabled and pick the correct language for best accuracy.

Step 1: Upload your PDF.

Step 2: If the PDF is a scan or photo copy, leave "Use OCR" enabled and select the document language. For digital PDFs with selectable text, disable OCR to save time.

Step 3: Click Convert. OCR jobs on long documents can take several minutes — do not close the tab.

Step 4: Download the .docx and open in Word or LibreOffice.

Step 5: Manually fix headings, tables, and spacing — automatic conversion rarely matches the original design.

Output will not replicate the PDF layout: multi-column text, tables, headers, footers, images, and fonts are simplified or dropped. OCR errors occur on low-resolution scans, handwriting, skewed pages, and decorative fonts.

Password-protected PDFs cannot be processed. Large files with OCR enabled may freeze low-memory devices. Complex mathematical notation and footnotes may lose structure.

Contract edits: extract text from a PDF agreement for redlining in Word.

Resume updates: pull content from an old PDF resume into editable docx.

Research: quote and reorganize paragraphs from academic PDFs.

Document Converter never uploads your file for conversion. Processing uses JavaScript in your browser tab — the same security boundary as editing a document offline. Closing the tab clears the in-memory copy unless you saved the output.

We may load analytics or ads when you visit the site, but those requests do not include your document bytes. For HR records, medical forms, or unreleased designs, local conversion avoids the third-party upload step that cloud converters require.

Cloud tools like Smallpdf and iLovePDF receive your file via HTTP upload, process it on their servers, and return a download link. That model is convenient for public PDFs but adds privacy and compliance risk for sensitive content.

Document Converter runs pdf-lib, PDF.js, Mammoth, SheetJS, or Tesseract.js directly in your browser. Open DevTools → Network while converting: you should see no POST containing your file. You trade server-side CPU for device-side privacy — often the right choice for personal and workplace documents.