Is this image-to-text tool free to use?

Yes. The OCR tool is completely free with no account, sign-up or usage limit. It runs in your browser and processes as many images as you need.

Are my images uploaded to a server?

No. Recognition runs entirely in your browser using a WebAssembly OCR engine, so the image file never leaves your device and is never sent to our servers or any third party.

Which languages can it recognise?

You can extract text in English, French, German and Spanish. Selecting the language that matches your document before running the tool gives the most accurate results.

Why is the first extraction slower than the next ones?

The first run has to download the OCR engine and language data into your browser. Once loaded, they are cached, so later extractions in the same session are noticeably faster.

How can I improve OCR accuracy?

Use a sharp, high-contrast, well-lit image, keep the text straight rather than angled, crop to just the text you need, and choose the correct document language. Clear printed text works far better than blurry photos, stylised fonts or handwriting.

Can it read handwriting?

It is designed for printed and typed text and performs best on those. Handwriting recognition is unreliable and usually produces poor results, especially cursive or uneven writing.

Image to Text (OCR)

Image to Text (OCR) pulls readable, editable text out of photos, screenshots and scanned documents - and it runs entirely in your browser, so your images are never uploaded.

Extract text from an image (OCR)

Recognition runs inside your browser with WebAssembly - the image is never uploaded to our servers. The engine and language data load on first use, so the first run takes longer.

Choose an imageDocument language

About Image to Text (OCR)

Optical character recognition (OCR) is the process of turning pixels that look like letters into actual character data you can select, copy and search. This tool performs that recognition locally using a Tesseract engine compiled to WebAssembly. When you extract text, the engine and its language model are downloaded to your browser and the analysis happens on your own machine - the image file stays on your device and is never sent to our servers or any third party.

You can recognise text in English, French, German or Spanish by choosing the matching document language before you run the tool. Picking the correct language noticeably improves accuracy, because the engine uses that language's character set and dictionary to resolve ambiguous shapes. The first extraction of a session is slower, since the OCR engine and language data have to load once; subsequent runs on the same page are faster because everything is already cached in the browser.

Results are best on clean, high-contrast images: sharp scans, screenshots of on-screen text, and straight, well-lit photos of printed material. Skewed angles, low resolution, heavy JPEG compression, decorative fonts and handwriting all reduce accuracy. If a run comes back empty or garbled, try a larger or clearer image, crop to just the text you need, or switch to the correct document language.

Because everything is client-side, this OCR tool is a natural fit for privacy-sensitive material such as contracts, invoices or ID scans - there is no upload, no server-side copy and no account required. It is part of a privacy-first, EU-hosted toolkit built with no trackers and no third-party dependencies.

How to use it

1Click "Choose an image" and select a photo, screenshot or scan (any common image format your browser supports).
2Set "Document language" to the language of the text - English, French, German or Spanish - for the most accurate recognition.
3Click "Extract text" and wait for the progress bar; the first run downloads the OCR engine and language data, so it takes a little longer.
4Review the recognised text in the results panel, then use the copy button to place it on your clipboard.
5If accuracy is poor, retry with a clearer or higher-resolution image, crop to the text region, or confirm the language setting.

Common use cases

-Copying text out of a screenshot, meme or infographic where the words are baked into the image.
-Digitising a scanned letter, invoice or receipt so the content can be edited or searched.
-Extracting quotes or figures from a photo of a page, slide, poster or whiteboard.
-Recovering text from an image-only PDF page that has been exported or screenshotted.
-Handling sensitive documents locally, without uploading them, thanks to fully client-side processing.

Frequently asked questions

Is this image-to-text tool free to use?: Yes. The OCR tool is completely free with no account, sign-up or usage limit. It runs in your browser and processes as many images as you need.
Are my images uploaded to a server?: No. Recognition runs entirely in your browser using a WebAssembly OCR engine, so the image file never leaves your device and is never sent to our servers or any third party.
Which languages can it recognise?: You can extract text in English, French, German and Spanish. Selecting the language that matches your document before running the tool gives the most accurate results.
Why is the first extraction slower than the next ones?: The first run has to download the OCR engine and language data into your browser. Once loaded, they are cached, so later extractions in the same session are noticeably faster.
How can I improve OCR accuracy?: Use a sharp, high-contrast, well-lit image, keep the text straight rather than angled, crop to just the text you need, and choose the correct document language. Clear printed text works far better than blurry photos, stylised fonts or handwriting.
Can it read handwriting?: It is designed for printed and typed text and performs best on those. Handwriting recognition is unreliable and usually produces poor results, especially cursive or uneven writing.