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PNG, JPG, WEBP, GIF · Maximum file size: 10 MB
Extract text from any image instantly. Supports JPG, PNG, WEBP and more. Powered by Tesseract — free, private, browser-based.
Click to choose or drag and drop here
PNG, JPG, WEBP, GIF · Maximum file size: 10 MB
Click the upload area or drag and drop. JPG, PNG, WEBP and GIF are supported up to 10 MB.
Tesseract OCR processes your image locally in the browser — no server, no data shared.
Copy the extracted text to clipboard or download it as a plain .txt file instantly.
OCR runs entirely in your browser via Tesseract.js. Your images are never sent to any server.
Supports English and Hindi OCR out of the box, covering a wide range of documents.
Get results in seconds with Tesseract's latest engine, optimized for crisp and handwritten text.
Fully responsive — works on phones, tablets, and desktops with no app to install.
No account, no credits, no limits. Extract text from as many images as you need, forever.
One-click copy to clipboard or download the result as a .txt file ready to use anywhere.
Optical Character Recognition (OCR) is the technology that reads text from images or scanned documents and converts it into machine-readable text. Modern OCR engines like Tesseract use trained neural networks to recognize character shapes, handle varied fonts, and deal with differences in lighting and image quality. This tool runs Tesseract entirely inside your browser using WebAssembly — no image ever leaves your device.
OCR is useful any time you need to extract text from a non-editable source. Common scenarios include digitizing printed documents, extracting quotes from screenshots, converting scanned book pages into searchable text, reading text from photos of signs or whiteboards, and pulling data from invoices or receipts. The key to accurate results is a clear, high-contrast image with a clean background.
Use the highest resolution image available — at least 300 DPI for scanned documents. Ensure good lighting with no shadows falling across the text. Maximize contrast between text color and background. Avoid skewed or rotated images when possible, or straighten them before uploading. For documents with mixed English and Hindi text, our tool handles both languages simultaneously in a single pass.