Key Features
Advanced OCR Technology
Built-in OCR using Tesseract.js WASM automatically detects and processes scanned PDFs with 85-95% accuracy. No separate OCR tool needed—everything works directly in your browser.
Smart PDF Categorization
Intelligently analyzes your PDF to determine if it's text-based, image-based, or mixed. Applies the optimal extraction method automatically for fastest results.
Large File Support
Process files up to 100MB (desktop), 75MB (Android), or 50MB (iOS). Automatic checkpointing every 5 pages prevents data loss during long processing sessions.
Complete Privacy
100% client-side processing using PDF.js and Tesseract.js. Your files never leave your device—no uploads, no storage, no data collection. Works offline after initial load.
How It Works
- 1
Upload Your PDF File
Drag and drop or click to select your PDF. Supports both digital PDFs and scanned documents up to 100MB. Multiple formats accepted: regular PDFs, scanned invoices, research papers, forms.
- 2
Automatic PDF Analysis
The tool analyzes your PDF structure in seconds to detect whether it contains extractable text, scanned images, or a combination. This determines the optimal processing strategy.
- 3
Text Extraction with Progress
For text PDFs, extraction happens instantly (~0.1s/page). For scanned PDFs, OCR processes each page (~4s/page) with real-time progress tracking. Mixed PDFs use hybrid processing for efficiency.
- 4
Review & Export Results
View extracted text in the output panel with OCR confidence scores. Copy to clipboard or download as TXT (plain text), Markdown (formatted), or JSON (with complete metadata).
Common Use Cases
📄 Extract Invoice Data
Convert PDF invoices and receipts to text for data entry, accounting software import, or expense tracking.
📚 Research Papers
Extract text from academic PDFs for citations, quotes, note-taking, or text analysis projects.
📑 Scanned Documents
Convert scanned forms, contracts, and letters to editable text with OCR technology.
💼 Resume Parsing
Extract text from PDF resumes for ATS systems, applicant tracking, or keyword analysis.
📊 Data Extraction
Pull text data from PDF reports, statements, and forms for database entry or analysis.
🔍 Content Analysis
Extract PDF content for sentiment analysis, keyword research, or text mining projects.
Technical Specifications
Performance Benchmarks
- Text-based PDFs:~0.1s per page
- Scanned PDFs (OCR):~4s per page
- OCR Accuracy:85-95%
- Max File Size (Desktop):100MB
- Checkpoint Interval:Every 5 pages
Browser Compatibility
- Chrome 90+ (Desktop & Mobile)
- Firefox 88+ (Desktop & Android)
- Safari 14+ (macOS & iOS)
- Edge 90+ (Chromium-based)
Requires: Web Workers, WebAssembly, IndexedDB, Web Crypto API
Frequently Asked Questions
How accurate is the OCR for scanned PDFs?
OCR accuracy ranges from 85-95% for high-quality scans (300+ DPI) with clear text. Factors affecting accuracy include scan resolution, text clarity, font quality, and page orientation. Lower quality or faded scans may result in 70-85% accuracy.
Can I process password-protected PDFs?
No, encrypted or password-protected PDFs cannot be processed. You'll need to remove password protection using PDF software before converting to text.
Does it work offline?
Yes, after the initial page load. PDF.js and Tesseract.js libraries are cached by your browser, allowing offline PDF processing. However, the first visit requires internet to download the libraries (~8.9MB total).
What happens if my browser crashes during OCR?
Progress is automatically saved to IndexedDB every 5 pages. Upload the same PDF file again to resume from the last checkpoint—no need to restart from the beginning.
How does this compare to online OCR services?
Unlike cloud-based OCR services (Google Vision, AWS Textract), this tool runs entirely in your browser—no file uploads, no API costs, complete privacy. Trade-off: slower processing (~4s/page vs ~1s/page for cloud APIs) but unlimited free usage.
Related Tools
Enhance your document processing workflow with these complementary tools: