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Бесплатно OCR — Image to Text Extractor

Extract text from images, screenshots, and scanned documents using the open-source Tesseract OCR engine. Supports 20 languages. Runs entirely in your browser.

Без ограничений по размеруФайлы остаются приватнымиРегистрация не требуетсяБесплатно навсегда
📦OCR uses ~10 MB of data on first run per language (cached afterwards).

Перетащите файлы или нажмите для выбора

JPG, PNG, WebP, BMP без ограничений по размеру файла

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Ваши файлы никогда не покидают устройство. Вся обработка происходит локально в браузере.

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Как это работает

OCR (Optical Character Recognition) here uses the open-source Tesseract engine — the same engine Google has maintained for decades — compiled to WebAssembly so it runs natively in your browser.

  1. 1
    The OCR engine downloads as WebAssembly
    On first use, Tesseract.js loads as a WebAssembly module (~3 MB). It runs inside your browser like native code, with no plugins or extensions needed.
  2. 2
    A language model downloads for your chosen language
    Each language has its own trained model (~5-15 MB each, depending on script complexity). You pick the language; only that language's data downloads. Your browser caches it for future use.
  3. 3
    You select or paste an image
    The image is read into your browser's memory. Tesseract analyzes the pixel data to identify character shapes — no upload, no API call.
  4. 4
    Text is extracted with a confidence score
    For each detected word, Tesseract assigns a confidence percentage. High contrast and clean fonts give 95%+ confidence; messy handwriting or low resolution drops it.

Your images stay on your device — not even temporarily uploaded for processing. Safe for ID documents, contracts, medical paperwork, or any text with sensitive content.

Почему наш?

Completely free — no hidden costs, ever
No account, email, or login required
Files stay on your device — processing happens in your browser
Works on any device — phone, tablet, desktop
No watermarks on any output
Browser memory limits may apply for very large files

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