PDF to Word Converter
Convert PDF documents to editable DOCX format instantly
Read the full guideDrag & drop PDF here
or click to browse
Note: Complex formatting may not be preserved. For best results with scanned PDFs, use the OCR tool first.
Convert PDF documents to fully editable Microsoft Word (DOCX) format instantly. Extract text, preserve formatting, maintain tables and images, and recover document structure for seamless editing. Perfect for editing contracts, modifying reports, reusing content, translating documents, and recovering lost Word files. Supports both text-based PDFs (created from Word, Google Docs) and scanned PDFs with OCR (Optical Character Recognition) for image-to-text conversion. All conversion happens locally in your browser using advanced PDF parsing libraries—your documents never leave your device, ensuring complete confidentiality for sensitive files like legal contracts, financial reports, medical records, and business proposals. No file size limits, no page restrictions, no watermarks. Download as DOCX compatible with Microsoft Word 2007+, Google Docs, LibreOffice, and all modern word processors.
PDF to Word conversion is the process of transforming a PDF (Portable Document Format) file into an editable DOCX (Microsoft Word Open XML Document) file. PDF was created by Adobe in 1993 as a fixed-layout format—documents look identical on any device but are difficult to edit. DOCX, introduced by Microsoft in 2007 with Office 2007, is a flexible, editable format based on XML and ZIP compression. Conversion involves parsing the PDF structure (objects, streams, fonts, images), extracting text content with positioning data, reconstructing paragraphs and formatting (bold, italic, font sizes), identifying and preserving tables (detecting cell boundaries and content), extracting embedded images, and generating a DOCX file with equivalent structure. The challenge: PDFs store text as positioned glyphs (individual characters with X,Y coordinates), not semantic paragraphs. Conversion algorithms must infer document structure—detecting where paragraphs end, identifying headers, recognizing tables, and maintaining reading order. For scanned PDFs (images of documents), OCR (Optical Character Recognition) technology is required. OCR uses machine learning models trained on millions of text samples to recognize characters in images, achieving 95-99% accuracy for clear scans. Modern OCR supports 100+ languages including Arabic (right-to-left), Chinese (vertical text), and complex scripts. PDF to Word conversion is essential for: editing received documents without requesting originals, translating PDFs (Word has better translation tools), recovering lost Word files (if you only have PDF), reusing content from old documents, and making PDFs accessible (screen readers work better with Word).
Editing Contracts & Legal Documents
Modify contract terms, update legal agreements, or revise proposals without recreating from scratch. Common in business negotiations where PDFs are exchanged but changes are needed. Lawyers and paralegals convert PDFs to Word to redline changes, add clauses, or update client information. Maintains original formatting while enabling tracked changes and comments.
Translating Documents & Localization
Word processors have superior translation tools (Microsoft Translator, Google Translate integration) compared to PDF editors. Convert PDFs to Word, translate content, then export back to PDF. Essential for international business, academic research, immigration documents, and multilingual marketing materials. Preserves formatting while allowing language-specific adjustments (Arabic right-to-left, Chinese character spacing).
Recovering Lost Word Files
If you've lost the original Word file but have a PDF copy, conversion recovers editable content. Common scenarios: computer crashes, accidental deletions, or receiving PDFs from others without source files. While not 100% identical to the original, conversion recovers 80-95% of content and formatting, saving hours of retyping.
Reusing Content & Repurposing Documents
Extract sections from old reports, presentations, or proposals to reuse in new documents. Faster than retyping or copy-pasting (which loses formatting). Marketing teams convert PDF case studies to Word for editing and updating. Academics convert research papers to Word for citation management and collaboration.
Scanned Document Digitization (OCR)
Convert scanned paper documents, faxes, or image-based PDFs to editable text. Essential for digitizing archives, processing invoices, extracting data from forms, and making historical documents searchable. OCR accuracy: 95-99% for clear scans, 80-90% for poor quality. Arabic OCR is particularly valuable in Middle Eastern markets for government documents and business records.
Accessibility & Screen Reader Compatibility
Word documents are more accessible than PDFs for visually impaired users. Screen readers (JAWS, NVDA) navigate Word's semantic structure (headings, lists, tables) better than PDF's visual layout. Converting PDFs to Word, then properly formatting with styles, improves accessibility compliance (WCAG 2.1, Section 508).
Our converter uses PDF.js (Mozilla's open-source PDF renderer) combined with custom algorithms for structure reconstruction. The process: (1) Parse PDF structure—PDFs are binary files containing objects (text, images, fonts), streams (compressed data), and a cross-reference table (object index). We extract all text objects with positioning data (X, Y coordinates, font, size). (2) Text extraction—PDFs store text as individual glyphs with coordinates, not paragraphs. We group nearby characters into words (horizontal proximity < 0.3em), words into lines (vertical proximity < 1.5× line height), and lines into paragraphs (vertical gap > 2× line height). (3) Formatting detection—analyze font properties to identify bold (font weight > 600), italic (font style = italic), headings (font size > body text), and lists (lines starting with bullets or numbers). (4) Table detection—identify rectangular grids of text with consistent spacing. Detect cell boundaries by analyzing white space and line objects. Extract cell content and merge cells where needed. (5) Image extraction—PDFs embed images as JPEG, PNG, or JPEG2000. We extract images, convert to PNG for compatibility, and position them in the Word document. (6) DOCX generation—create an Open XML document structure with paragraphs, runs (formatted text segments), tables, and images. Apply styles (Heading 1, Normal, etc.) based on detected formatting. For scanned PDFs, we use Tesseract.js (JavaScript port of Tesseract OCR, Google's open-source engine) to recognize text in images. Tesseract uses LSTM (Long Short-Term Memory) neural networks trained on 100+ languages, achieving 95-99% accuracy for clear scans. OCR process: (1) Image preprocessing—convert to grayscale, adjust contrast, remove noise. (2) Text detection—identify text regions vs images/graphics. (3) Character recognition—segment characters and classify using neural networks. (4) Post-processing—spell-check and context-based correction. Conversion accuracy: 90-95% for simple PDFs (text, basic formatting), 70-85% for complex PDFs (multi-column layouts, custom fonts), 60-80% for scanned PDFs (depends on scan quality).
| PDF Type | Text-based (created digitally) | Scanned/Image-based | Complex layout (multi-column) |
| Conversion Accuracy | 90-95% (excellent) | 80-90% with OCR (good) | 70-80% (fair) |
| Formatting Preservation | Excellent (fonts, sizes, colors) | Basic (plain text, limited formatting) | Fair (may need manual adjustment) |
| Table Preservation | Good (80-90% accurate) | Fair (50-70%, depends on clarity) | Poor (often requires manual fixing) |
| Image Quality | Excellent (original resolution) | Good (depends on scan DPI) | Excellent (original resolution) |
| Processing Time | Fast (5-15 seconds) | Slow (30-120 seconds, OCR required) | Moderate (10-30 seconds) |
| Best For | Business documents, reports, contracts | Old documents, faxes, paper archives | Magazines, brochures, academic papers |
Our PDF to Word converter uses PDF.js (Mozilla Foundation) for PDF parsing and docx.js for DOCX generation, both running entirely in your browser. Supported browsers: Chrome 60+, Firefox 55+, Safari 11+, Edge 79+. Maximum file size: 50 MB (browser memory limitation—larger files may crash on mobile devices). Processing speed: 5-15 seconds for typical documents (10-50 pages), 30-120 seconds for scanned PDFs requiring OCR. Limitations: (1) Custom fonts—if the PDF uses fonts not available in Word, we substitute with similar fonts (Arial, Times New Roman, Calibri). (2) Complex layouts—multi-column documents, text wrapping around images, and magazine-style layouts may not convert perfectly. (3) Forms and interactive elements—PDF forms, buttons, and JavaScript are not preserved. (4) Annotations—PDF comments and highlights are not converted. (5) Security—password-protected PDFs must be unlocked before conversion. For best results: use PDFs created from Word or similar word processors, avoid scanned PDFs if possible (or ensure high-quality scans at 300+ DPI), and expect to make minor formatting adjustments after conversion. All processing is client-side—your PDFs never leave your browser, ensuring confidentiality for sensitive documents like legal contracts, medical records, or financial reports.