OCR - Image to Text
Extract text from images instantly using advanced OCR technology. Upload, paste, or drag & drop images to convert them to editable text directly in your browser.
About OCR - Image to Text
Overview
The OCR (Optical Character Recognition) tool uses advanced machine learning to extract text from images directly in your browser. Whether you need to digitize printed documents, extract text from screenshots, or convert photos of text into editable format, this tool provides accurate results instantly without any manual typing. This tool uses Tesseract.js, a powerful OCR engine that runs entirely in your browser, ensuring complete privacy as your images never leave your device. The first time you use a language, the language data will be downloaded and cached, making all subsequent uses faster.
Features
- AI-powered OCR with support for 12+ languages
- Support for common image formats: PNG, JPEG, WebP, GIF, BMP
- Multiple input methods: file upload, drag & drop, and clipboard paste
- Crop selection - extract text from specific regions of the image
- Real-time progress tracking during text extraction
- Editable text output - modify extracted text before copying or downloading
- Copy to clipboard with one click
- Download extracted text as TXT file
- Language data caching for faster subsequent uses
- Completely browser-based - no server uploads, your data stays private
- Dark mode support for comfortable use
- Responsive design works on desktop, tablet, and mobile devices
How to Use
- Upload an image by clicking "Browse Files", dragging and dropping a file, or pasting from clipboard (Ctrl+V / Cmd+V)
- (Optional) Click "Crop Selection" to select only a specific region for text extraction
- Select the language of text in your image from the dropdown menu
- Click "EXTRACT TEXT" to process the image with OCR
- View the extracted text in the text area below the image preview
- Copy the text to clipboard or download it as a TXT file
- Upload a new image to continue extracting text
FAQ
How accurate is the OCR text extraction?
OCR accuracy depends on image quality, text clarity, and font style. Printed text with good contrast and lighting typically achieves 95-99% accuracy. Handwritten text, stylized fonts, or poor-quality images may have lower accuracy. For best results, use clear, high-resolution images with standard fonts.
Why does it need to download language data on first use?
Each language requires trained machine learning models for accurate text recognition. These models are downloaded once (~10-30 MB per language) and cached in your browser. This allows the tool to work completely offline afterward. The download ensures privacy as no server processing is needed.
Can it recognize handwritten text?
Tesseract OCR is primarily designed for printed or typed text. It may recognize clear, neat handwriting with limited accuracy, but results will vary significantly. For best results, use images of printed text, digital screenshots, or typed content.
What happens to my images after processing?
Absolutely nothing. All OCR processing happens entirely in your browser using WebAssembly and machine learning models. Your images are never uploaded to any server. They remain on your device and are automatically cleared when you close the browser tab or upload a new image.
How can I improve OCR accuracy on difficult images?
Try these tips: ensure good lighting with high contrast, use the correct language setting, ensure text is horizontal and not rotated, increase image resolution to at least 300 DPI, remove shadows and glare, crop to include only text regions, and avoid blurry or pixelated images. Converting images to grayscale can sometimes improve accuracy.