Read the text out of photos, screenshots and scans — OCR runs right on this page. Free in your browser — no sign-up, no watermarks.
How to extract text from an image
- Click Choose files (or drag & drop) and select one or more Image files. You can also paste an image from your clipboard.
- Pick the language the text is in — this matters more than anything else here, because a model reading the wrong language turns accented letters into punctuation. The engine and that one language model download automatically on first use and are cached by your browser, so later runs start instantly.
- Press Extract text. Processing runs with a live progress indicator.
- Open the download page to save your files individually or grab everything as a single ZIP.
Why use OCR on images?
Retyping text from a screenshot, whiteboard photo or scanned letter is miserable work. Drop the image and the OCR engine reads it for you — copy the result or download it as a text file. Choose English or Turkish; clear, well-lit images of printed text give the best results.
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What this tool preserves — and what it changes
✓ Preserved
- The image itself is untouched and never uploaded — OCR runs in the tab
↺ Changed
- Output is plain text in reading order — positioning, tables and styling are not reconstructed
Known limits & edge cases
- 25 language models, one at a time; handwriting is out of scope
- Screenshots read best; photos of screens (moiré) and low-contrast scans read worst
Engine: Tesseract.js (WASM) — the OCR engine and the one language model you choose are downloaded to your browser on first use. These statements describe the engine as shipped on 2026-10-02 — behaviour changes are recorded in the changelog.
About the formats
Reading the text trapped in pictures
Photos of documents, whiteboards after a meeting, screenshots of error messages, a book page snapped in a library — the words are visible but not usable. OCR reads the pixels and returns actual text you can search, edit, quote and feed to other software. Choose English or Turkish recognition; the chosen language model downloads once and is cached by your browser.
Recognition quality tracks capture quality with almost mechanical fairness: even lighting, a straight-on angle and sharp focus produce excellent text; glare, skew and motion blur produce guesswork. Shoot squarely and fill the frame with the text. Expect to proofread the output once — numbers, names and unusual words are where OCR earns skepticism — and you still come out far ahead of retyping.
Guides for this task
Frequently asked questions
Is this Image to Text (OCR) tool free?
Yes — completely free, with no sign-up, no watermarks and no daily quota. Processing happens in this browser, so the practical limit is the memory available on your device.
Can I process multiple image files at once?
Yes. Add as many files as you like — each one is processed in sequence with its own progress status, and you can download the results individually or all together as a ZIP archive.
Why does the first run take longer?
The engine and the one language model you picked are downloaded on first use and cached by your browser — English is about 11 MB, the other twenty-four are one to four. Later runs in the same language skip the download entirely; switching language fetches just that model.
How accurate is the text recognition?
On clear scans and screenshots of printed text, accuracy is typically excellent. Small, blurry, skewed or low-contrast text reduces it, and handwriting recognition is unreliable — OCR engines are built for print. Always skim the result before relying on it.
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