How do I extract text from an image?

Drop your image onto the upload zone (or click to browse, or paste with Ctrl+V / Cmd+V), choose the language, then click Extract text. The recognized text appears in an editable box you can copy or download. It is completely free and runs entirely in your browser, so your image is never uploaded.

Is my image uploaded to a server?

No. Recognition runs entirely in your browser with a WebAssembly OCR engine; the image never leaves your device. The engine and language data are self-hosted from our own domain.

Which languages are supported?

English plus Simplified and Traditional Chinese, Japanese, Korean, German, French, Spanish, Russian, and Portuguese. Each language's data loads on demand when you select it.

Why is the first run for a language slower?

The first time you use a language, its recognition data is loaded and cached in your browser. Later runs in that language are faster because the data is already cached.

What images give the best results?

Clear, high-contrast printed text — screenshots, documents, signs — works best. Handwriting, low resolution, heavy noise, skew, or stylised fonts reduce accuracy.

Is the Image to Text (OCR) tool free?

Yes — extracting text from images and screenshots with OCR is completely free, forever. No account, no sign-up, and no limit on how many images you process. The Tesseract OCR engine runs in your browser via WebAssembly; your images are never uploaded to any server. The site is ad-supported.

Does it work offline?

Yes. The OCR engine and language data are part of the page (cached after first use), so recognition works offline.

Image to Text (OCR)

Image to Text is a free browser-based OCR tool that extracts the text from a photo or screenshot. Pick a language, and recognition runs on your device with the Tesseract engine (WebAssembly) — no upload, no account — showing real progress; then copy or download the text. It supports English plus several major languages and works offline.

Extract editable text from an image with OCR, directly in your browser — free, no upload required.

100% Free — Forever. No fees, ever.
Private: files are processed locally in your browser and never sent to a server.
No upload, no account, no sign-up.

How do I extract text from an image?: Drop your image onto the upload zone (or click to browse, or paste with Ctrl+V / Cmd+V), choose the language, then click Extract text. The recognized text appears in an editable box you can copy or download. It is completely free and runs entirely in your browser, so your image is never uploaded.
Is my image uploaded to a server?: No. Recognition runs entirely in your browser with a WebAssembly OCR engine; the image never leaves your device. The engine and language data are self-hosted from our own domain.
Which languages are supported?: English plus Simplified and Traditional Chinese, Japanese, Korean, German, French, Spanish, Russian, and Portuguese. Each language's data loads on demand when you select it.
Why is the first run for a language slower?: The first time you use a language, its recognition data is loaded and cached in your browser. Later runs in that language are faster because the data is already cached.
What images give the best results?: Clear, high-contrast printed text — screenshots, documents, signs — works best. Handwriting, low resolution, heavy noise, skew, or stylised fonts reduce accuracy.
Is the Image to Text (OCR) tool free?: Yes — extracting text from images and screenshots with OCR is completely free, forever. No account, no sign-up, and no limit on how many images you process. The Tesseract OCR engine runs in your browser via WebAssembly; your images are never uploaded to any server. The site is ad-supported.
Does it work offline?: Yes. The OCR engine and language data are part of the page (cached after first use), so recognition works offline.

OCR (optical character recognition) converts pictures of text into machine-readable, editable text.
Tesseract is a mature open-source OCR engine (originally developed at HP, later by Google); here it runs in the browser compiled to WebAssembly.
Recognition accuracy depends heavily on image quality — high contrast and resolution and upright, printed text give the best results.
Each language uses a separate trained data file that is loaded on demand and cached, so you only download what you use.
Because recognition is client-side, the image is never transmitted, keeping documents and screenshots private.

🔠 Image to Text (OCR)

Image to Text (OCR)