Image to Text OCR

How it actually works

You add one or more images or a PDF and the page turns them into selectable text without sending the file anywhere. For images, the picture is loaded into the browser and passed to tesseract.js, a WebAssembly build of the Tesseract engine that runs in a worker thread on your own device, and the recognised text is returned into an editable box you can copy or download.

A selector chooses the primary language and an optional second language, which matters for pages that mix two scripts, because the wrong language model mis-reads accented characters. An accuracy control scales the work: balanced and high modes upscale a small image before recognition, lifting legibility on thumbnails and phone photos.

For a PDF the tool first asks pdf.js whether the file already carries a text layer. If it does, that text is taken straight out, which is instant and exact; if a page is a scanned image with no layer, the page is rendered to a canvas at the chosen scale and only then run through OCR. Results can be saved per file as a plain-text download or bundled together as a ZIP.

Premium features: a second mixed-script language, tidy-spacing cleanup, high-quality upscaling, per-file and batch text downloads, and an editable output box you can correct before saving.

What that means for your results

Because the model never touches a server, processing is a privacy property, not just a convenience: a receipt, an identity document or a private letter can be read here when you would not upload it elsewhere. Printed text at a reasonable resolution comes out clean, and text-layer PDFs are extracted exactly rather than re-recognised.

Where it falls short - honestly

Recognition is strong on typed and printed text and weak on handwriting, decorative fonts, curved or rotated text and low-contrast photos, so a result usually needs light proofreading, especially for digits and look-alike shapes such as O, Q, 0 and rn against m. The engine and the first language download from an external CDN on the first run, so that one load needs a connection before it is cached, and very large PDFs are capped at a page limit to protect memory.

A real end-to-end workflow

Drop in the image or PDF, set the correct language (add a second only if the page truly mixes scripts), leave high or balanced on for small photos, then tidy the text and copy it or download it. To translate what you extracted use Text Translator, to check it use Grammar Checker, to count it use Word Counter, and to turn a scanned PDF into an editable document rather than plain text use PDF to Word.