Extract Text from PDF & OCR Scanned Documents
Extract clean, formatted text from PDF files directly in your browser. Extract digital text streams instantly or run client-side Tesseract.js OCR on scanned paper documents with zero cloud transmission.
Step-by-Step Instructions
Load PDF File
Upload any native digital PDF or scanned image document.
Select Extraction Mode
Choose "Native Text Extraction" for instant digital text or "OCR Engine" for scanned images.
Glyph & Character Parsing
The engine decodes ToUnicode CMap font tables or runs WebAssembly neural OCR.
Copy or Download Text
Copy plain text to clipboard or download as a .txt markdown file with clean paragraph breaks.
๐ Privacy & Data Security Guarantee
100% Private Document Analysis: Confidential agreements, medical records, and financial statements stay entirely on your device.
CMap Unicode Decoding vs. Tesseract WebAssembly OCR
For native PDFs, text extraction involves reading the /Contents stream operators (e.g. Tj and TJ text show operators) and mapping internal glyph indices to standard UTF-8 characters via the font's embedded ToUnicode CMap table.
For scanned documents without a text layer, our tool spins up a client-side Tesseract.js WebAssembly worker. The neural network detects text lines, segments characters, and predicts glyph classifications directly on your GPU/CPU without sending document imagery across the internet.
Extraction Methods Compared
| Feature | Native Text Extraction | WebAssembly OCR Mode |
|---|---|---|
| Document Type | Digital PDFs with selectable text | Scanned documents, photos, faxed forms |
| Processing Speed | Instantaneous (<100ms for 50 pages) | 1โ3 seconds per page (Neural processing) |
| Accuracy | 100% exact character representation | 95โ99% depending on scan clarity |
| Resource Usage | Extremely lightweight | Utilizes multi-threaded browser Web Workers |