Extract text from photos, screenshots and scanned documents with OCR in English and more languages, right in your browser, without uploading the image.
OCR (Optical Character Recognition) is the technology that identifies letters and words inside an image and turns them into text you can copy, search and edit. This tool uses Tesseract, one of the best-known open-source OCR engines, compiled to WebAssembly and running entirely in your browser. You drag (or paste) one or several photos, screenshots or scanned documents, choose one or more languages, and the text is extracted locally, with the image never leaving your device. On the first run the browser downloads the engine and the chosen language data (around 11 MB per language) from a CDN, and the interface says exactly what it is downloading instead of leaving a progress bar stuck near zero. Recognition can be cancelled at any moment. Before reading, the image is automatically upscaled, contrast-stretched and corrected (you can compare before and after), and you can crop or rotate it and pick a content mode (paragraph, single line, or sparse/code) to improve difficult text such as plates, codes and symbols. We also show the mean recognition confidence and the word count, and the result can be copied or downloaded as a .txt, with an option to merge several images into a single document. Because processing is local, it is ideal for sensitive documents.
Paste the code into your HTML and the tool shows up on your page, without J-Kit's navigation and ads. It still runs in the browser of whoever visits your site.
<iframe
src="https://jkit.tools/embed/en-US/image-to-text-ocr"
width="100%"
height="600"
style="border:0"
loading="lazy"
title="Image to Text (OCR)"
></iframe>No. Recognition happens in your browser via WebAssembly; the image never leaves your device. Only the OCR engine and the chosen language files are downloaded from a CDN on the first run, and they are cached afterwards.
On the first run the browser downloads the language data (~11 MB in total) from a CDN. After that it is cached.
Use “Sparse/Code” for plates, serial numbers, codes or short strings that are not sentences (like Morse code). In Automatic mode the tool already tries that mode on its own when the first result has low confidence.
Recognition runs entirely in your browser (WebAssembly). The image is never sent to a server; only the OCR engine and language files are downloaded from a CDN on the first run.