ποΈ OCR Tool
Extract text from scanned PDFs and images β 100% free, client-side, and privacy-focused. No upload, no server, no data leaves your device.
Click or drag & drop your file here
Supports PDF, JPG, PNG, BMP, TIFF, GIFπ What is OCR?
Optical Character Recognition (OCR) is a technology that converts different types of documents β such as scanned paper documents, PDFs, or images captured by a digital camera β into editable and searchable text.
This tool uses Tesseract.js, a JavaScript port of Google's Tesseract OCR engine, which runs entirely in your browser using WebAssembly. This means:
- β Your files never leave your device β complete privacy
- β No file size limits (performance may vary)
- β Works offline after the first load
- β No registration, no API keys, no hidden costs
πΌοΈ Supported File Types
- PDF documents β Scanned or image-based PDFs
- JPEG / JPG β Most common image format
- PNG β Lossless format with transparency support
- BMP β Bitmap images
- TIFF β High-quality images, often used in scanning
- GIF β Animated or static images
For best results, ensure your document has good contrast and clear text. Handwritten text may have lower accuracy.
π How OCR Works Under the Hood
- File Loading β Your file is read locally using the FileReader API.
- PDF Rendering β For PDFs, PDF.js renders each page to a canvas element without any external dependencies.
- Image Processing β The canvas image data is passed to Tesseract.js for analysis.
- Text Recognition β Tesseract.js identifies character shapes and converts them to machine-encoded text.
- Result Display β Extracted text is displayed, with page separators for multi-page PDFs.
π‘ Pro Tips for Better OCR Accuracy
- Use high-resolution scans (300 DPI or higher) for better results.
- Ensure the text is upright and not skewed.
- Select the correct language for the document β matching the language improves accuracy significantly.
- For small text, consider increasing the image resolution before scanning.