PDF to Word Converter
Upload a PDF and convert it to .docx format. 100% Free - all processing happens in your browser. Extracts text with styles, bold, italics, and headings automatically.
Drag & drop a PDF here, or click to browse
PDF files • 100% Free • No upload required
🚀 Free Features
- Style preservation: Bold, italics, font sizes
- Smart heading detection: Large text → Heading 1/2 in Word
- Paragraph structure: Maintains line breaks and spacing
- No duplications: Optimized logic to avoid repeated content
- Multi-page: Each PDF page converts correctly
- ✅ 100% free - No API keys or accounts needed
- ✅ 100% private - Files never leave your browser
- ⚠️ Images not extracted (PDF.js limitation)
- ⚠️ Scanned PDFs require OCR and are not supported
Frequently Asked Questions
Does this generate a real Word (.docx) file?
Yes. The output is a real Open XML .docx file you can open and edit in Microsoft Word, Google Docs, or LibreOffice.
Is my PDF uploaded to your servers?
No. Your PDF is read entirely in your browser. No data is ever sent to our servers.
Will the .docx preserve the original layout?
Basic structure is preserved: paragraphs and short lines are detected as headings. However, complex layouts (multi-column, tables, images, custom fonts) cannot be reconstructed from PDF without server-side processing.
Can I convert scanned PDFs?
No. Scanned PDFs are images and contain no text layer. They require OCR software like Adobe Acrobat or Google Drive's built-in OCR.
What PDF types work best?
Standard text-based PDFs created from Word, InDesign, or any PDF-generating software. PDFs with embedded text layers will extract with high fidelity.
How PDF Text Extraction Works
A PDF file stores text as a series of character codes mapped to a font glyph stream. Libraries like pdf.jsread these streams and reconstruct the text content by grouping characters into words and paragraphs based on their coordinates on the page.
This coordinate-based approach means the text is recovered accurately in most cases, but layout information (columns, tables, exact spacing) is approximated. The tool detects short lines as headings and long lines as paragraphs to produce a readable Word document.
Text-Based vs Scanned PDFs
| PDF Type | How it's created | Client-side extraction |
|---|---|---|
| Text-based | Exported from Word, InDesign, LibreOffice, LaTeX | ✅ Works — text layer is embedded |
| Scanned + OCR | Scanned paper, then OCR run (Acrobat, Google Drive) | ✅ Works — OCR added a text layer |
| Scanned only | Scanned paper, no OCR applied | ❌ Fails — pages are JPEG images, no text |
| Protected | Password-protected or DRM-locked | ❌ Fails — text cannot be read |
Getting the Best Results
- Single-column PDFs work best — two-column academic papers may have their columns merged out of order.
- Headings are detected by line length; very short paragraphs may be misclassified as headings.
- Complex layouts (forms, tables, sidebars) require a server-side engine (Adobe Acrobat, AWS Textract, or Microsoft Azure Form Recognizer) for accurate reconstruction.
- After downloading the
.docx, review and clean up the formatting in Word or Google Docs before publishing.