Image to Text (OCR)
Upload an image and extract the text from it — free, right in your browser, no signup.
- Choose the language of the text in your image from the dropdown.
- Click the upload box (or drag & drop an image) to select a photo, screenshot, or scan.
- Click "Extract Text" — a progress bar shows recognition progress.
- Review the extracted text in the box below — you can edit it if needed.
- Copy the text or click "Download .txt" to save it as a file.
About This Image to Text (OCR) Tool
This free OCR (Optical Character Recognition) tool extracts editable text from any image — a scanned document, a screenshot, a photo of a sign or receipt, or a picture of printed notes — so you don't have to retype it by hand. It supports several languages and works well on clear, well-lit images of printed text.
Recognition runs locally in your browser using Tesseract.js, an open-source OCR engine powered by WebAssembly — your image is never uploaded to a server. Once the text is extracted, you can edit it, copy it, or download it as a plain .txt file.
Frequently Asked Questions
Is my image uploaded to a server?
No — text recognition runs entirely in your browser using Tesseract.js, an open-source OCR engine compiled to WebAssembly. Your image never leaves your device.
Which languages are supported?
English, Spanish, French, Hindi, and Arabic are available from the dropdown. Each language uses its own trained data file, downloaded once from a CDN and cached by your browser.
Why is the first extraction slow?
The first time you use a language, your browser downloads a small language data file needed for recognition. After that, it's cached and subsequent extractions are much faster.
What image types work best?
Clear, well-lit, high-contrast images with horizontal text give the best results — scanned documents, screenshots, and printed text work especially well. Handwriting and very low-resolution photos are harder to recognize accurately.
Can I edit the extracted text?
Yes — the result appears in an editable text box, so you can fix any recognition mistakes before copying or downloading it.
📖 Read the Full Guide: How to Extract Text from an Image