Image to Text

How this OCR tool actually works

This tool runs Tesseract.js, an open-source optical character recognition engine compiled to WebAssembly, directly inside your browser tab there's no server doing the work. The first time you use it, your browser downloads Tesseract's English training data (roughly 10-15MB) and caches it; every image after that processes locally using the cached model. The engine analyzes the image pixel by pixel, isolates shapes that look like individual characters, and matches them against patterns it learned from millions of training samples, then reassembles the results into lines and paragraphs based on spacing and layout.

What actually makes OCR accurate or inaccurate

Image quality matters more than anything else. High-resolution, well-lit photos with dark text on a plain light background give Tesseract the cleanest signal to work with. Accuracy drops with low resolution, blur, glare, heavy shadows, skewed or rotated text, and busy or textured backgrounds. Standard printed fonts (the kind used in books, receipts, and most documents) recognize well; decorative, script, or highly stylized fonts confuse the character-matching model. Handwriting is the hardest case of all Tesseract is trained primarily on printed text, so cursive or handwritten notes will come back with far more errors than typed text, if they're readable at all.

What people actually use this for

Common uses include pulling text out of scanned pages or old documents that were never digitized as searchable text, copying numbers off a receipt for expense tracking instead of retyping them, grabbing a quote or passage from a photographed book or magazine page, and extracting text from a screenshot when the original image doesn't allow text selection (a common problem with image-based PDFs, memes, or social media posts). It's also handy for digitizing a printed recipe, a business card, or notes on a whiteboard.

Supported files and known limits

Any standard image format works JPG, PNG, WebP, GIF, and BMP are all accepted, since the upload field takes any image/* file. This tool processes one image at a time; it doesn't batch-process multiple files or read multi-page PDFs directly (you'd need to screenshot or export a PDF page as an image first). It's also currently set up for English only see the FAQ below for what that means for other languages.

FAQ

Is my image uploaded anywhere?
No everything happens locally in your browser using on-device OCR. Your image never leaves your device.

Does it support languages other than English?
This tool is currently set up for English text using Tesseract's English training data. Text in other languages, or special accented characters, may come back garbled or missing since the engine hasn't loaded the pattern data needed to recognize them.

Why is the first image slow?
Your browser needs to download the OCR engine and its English language data the first time you use the tool. After that, it's cached by your browser and subsequent images process noticeably faster.

Can it read handwriting?
Not reliably. Tesseract is trained mainly on printed and typed text, so neat block handwriting occasionally comes through readable, but cursive or messy handwriting usually produces a lot of errors. For handwritten notes, expect to do some manual cleanup afterward.

Does it work on PDFs?
Not directly this tool accepts image files, not PDFs. If your text is in a PDF, take a screenshot of the page or export it as a JPG/PNG first, then upload that image.

Why did it get some words wrong?
OCR mistakes usually trace back to image quality low resolution, glare, an odd font, or low contrast between text and background are the most common causes. Try a sharper, well-lit photo taken straight-on rather than at an angle, and check the extracted text against the original for anything that looks off, especially numbers and names.