Extract text.
Instantly, privately.
Pull readable text out of any image using Tesseract OCR — running entirely in your browser. No upload, no account, 100+ languages supported.
Free · No upload · 100% private
Drop your image here
JPG · PNG · WebP · GIF · BMP · up to 50 MB
Three steps. Instant results.
Drop your image
Upload a JPEG, PNG, WebP, GIF, or BMP file by clicking or dragging onto the tool. Paste from clipboard also works.
OCR scans the image
Tesseract.js — a WebAssembly OCR engine — runs entirely in your browser. No upload happens. A progress bar shows extraction status.
Copy or save the text
The extracted text appears instantly. Copy it to your clipboard or save it as a .txt file. Process multiple images at once.
Turning pixels into editable text
Optical Character Recognition (OCR) is the process of analysing an image and identifying the shapes of letters, numbers, and symbols within it. The engine compares pixel patterns to trained models for each character, then assembles the recognised characters into words, lines, and paragraphs — producing text you can copy, search, and edit.
This tool uses Tesseract.js, a WebAssembly port of the industry-standard Tesseract OCR engine (originally developed at HP, maintained by Google). It runs entirely inside your browser — your image is never transmitted to any server. The language model data downloads once from a CDN and is cached for subsequent use.
Tips for higher accuracy.
Use high-resolution images
OCR accuracy rises sharply with image resolution. 150 DPI or higher is recommended. Scan documents at 300 DPI for best results.
Ensure good contrast
Dark text on a light background (or vice versa) gives the engine the clearest signal. Low-contrast images dramatically reduce accuracy.
Avoid heavy compression
JPEG artefacts and blurriness caused by aggressive compression introduce noise that confuses the OCR engine. Use PNG when possible for text-heavy images.
Select the correct language
The engine uses language-specific letter frequency models. Selecting the wrong language will cause garbled output even for legible images.
Straighten rotated text
Text tilted more than a few degrees significantly reduces accuracy. Use the Rotate Image tool to straighten your image before extracting text.
Screenshots work best
Screenshots of websites, PDFs, or applications typically have perfectly crisp text at consistent size, making them ideal OCR input.
When you need text out of an image
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