Step-by-step guide
- Step 1: Select a scanned PDF document.
- Step 2: Choose the recognition language (English or Hindi).
- Step 3: Click "Run OCR" — the WebAssembly engine recognizes text page-by-page and downloads the text file.
Transform scanned paper documents, photocopies, and image PDFs into editable digital text. Powered by the open-source Tesseract.js WebAssembly engine running entirely within your browser.
The tool uses Tesseract.js compiled to WebAssembly. The OCR engine initializes locally in your browser and reads text from rendered page canvases without sending pages to an external server.
OCR processes neural network pattern recognition on every letter and line of each page. Processing time depends on document page count and local CPU speed.
The OCR tool supports English and Hindi language models, downloading trained neural model weights on demand with SRI integrity protection.
PDF Toolbox is engineered with a strict browser-first architecture. All file operations execute entirely in your local browser sandbox via modern WebAssembly and JavaScript engines. No file bytes or sensitive document data are ever uploaded, buffered, or stored on external servers or cloud infrastructure. Memory buffers are cleared immediately when you finish or close your tab.