Image to Text
Extract text from any image using OCR (Optical Character Recognition). Upload an image and get the text content instantly.
High Accuracy
Powered by Tesseract.js for accurate text recognition.
Multiple Languages
Supports English text extraction with high precision.
Privacy First
All processing happens locally in your browser.
Easy Copy
Copy extracted text with one click.
How OCR Text Extraction Works
Image Upload
Upload or drag-and-drop any image containing text. Supported formats include PNG, JPG, GIF, and WebP. The image stays in your browser and is never uploaded to a server.
OCR Processing
Tesseract.js, a JavaScript port of the Tesseract OCR engine, analyzes the image. It identifies text regions, recognizes individual characters, and assembles them into words and sentences.
Text Output
The recognized text is displayed and ready to copy. The output preserves line breaks and paragraph structure from the original image layout.
Why Extract Text from Images?
Digitize printed documents by converting scanned pages, photos of receipts, or images of handwritten notes into editable text. OCR eliminates manual retyping and makes physical documents searchable.
Copy text from screenshots when you need to extract code snippets, error messages, or quotes from images. Instead of retyping what you see, extract it instantly and accurately.
Make images accessible by extracting text that can be read by screen readers or translated into other languages. OCR helps convert visual information into formats that work for everyone.
Frequently Asked Questions
What image quality works best?
Clear, high-contrast images with readable text work best. Avoid blurry photos, low resolution images, or text at extreme angles. Good lighting and straight-on photos of documents produce the best results.
Is my image uploaded to a server?
No. All processing happens locally in your browser using Tesseract.js. Your images never leave your device, making this tool completely private for sensitive documents.
What languages are supported?
This tool is optimized for English text. Tesseract supports many languages, but the browser-based version loads English by default for faster performance. For other languages, consider desktop OCR software.
Why does OCR sometimes make mistakes?
OCR accuracy depends on image quality, font style, and text clarity. Unusual fonts, handwriting, low contrast, or image artifacts can cause recognition errors. Proofreading the output is recommended for important text.