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🖼️ Image to Text WASM

Extract text from any image — screenshots, photos of documents, receipts, signs. Supports 14 languages, runs entirely in your browser.

Powered by Tesseract: OCR quality depends on image clarity, resolution, and language. Screenshots and clean photos work great. Blurry, skewed, or handwritten images produce errors. You can upload multiple images at once — each is processed separately.

Upload Images

Drop one or more images below, click to browse, or paste from clipboard (Ctrl+V).

Extracted Text
Processing…0%
Images Done
0
Words Found
0
Characters
0
Avg Confidence
—
100% private. Nothing was uploaded.

How to Extract Text from Images

1

Upload Images

Drop files, click to browse, or paste screenshots with Ctrl+V.

2

Pick Languages

Choose one or more languages, then click Start OCR.

3

Copy or Download

Copy each result, or download everything as TXT, JSON, or ZIP.

Frequently Asked Questions

Screenshots and clean photos give 95-99% accuracy. Good sources: screenshots of documents, photos of paper at good lighting, scanned images, digital photos of signs or menus. Poor sources: blurry photos, skewed angles, low-light shots, and handwriting (which Tesseract doesn't handle).

Tesseract works best when text is at least 30 pixels tall. For small images (like icons or thumbnails), upscaling 2× or 3× makes characters larger and more recognizable. The default 2× is a good balance — it improves accuracy without huge slowdowns. If your images are already large (2000+ pixels wide), leave it at 1× for speed.

14 languages: English, Spanish, French, German, Italian, Portuguese, Dutch, Russian, Chinese (Simplified & Traditional), Japanese, Korean, Arabic, and Hindi. Select multiple languages only if your image truly mixes languages — extra languages slow down OCR and can reduce accuracy.

Yes. Just take a screenshot (Win+Shift+S on Windows, Cmd+Shift+4 on Mac, or any screenshot tool), copy it to your clipboard, then press Ctrl+V (Cmd+V on Mac) anywhere on this page. The image will be added to your batch automatically.

OCR is computationally intensive. On a modern desktop, expect 2-10 seconds per image depending on size, upscale factor, and number of languages. The first image is slower because Tesseract has to download its language data files (a few MB) — subsequent images are much faster.

No. Everything runs locally in your browser using Tesseract.js (WebAssembly). Your images never leave your device.

Done!