Image to Text (OCR) ✨ AI-Powered

Extract printed text from screenshots and photos. Runs locally with Tesseract.js.

ℹ️ This tool uses an AI model that runs entirely in your browser. Language data is downloaded once (~2MB for English, more for other languages) and then cached automatically.

Drag & drop an image or click to browse

JPG, PNG, WEBP, GIF, BMP

Language

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Accuracy: —

Extracted 0 characters

Image to Text Converter (OCR) — Free & Private

Turn screenshots, scans, and photos into editable text without cloud OCR services. Everything runs in your browser using Tesseract.js and Web Workers.

How to extract text from an image

Upload your image.
Choose the document language (or auto-detect for English + Russian).
Click Extract Text and wait for recognition to finish.
Copy the result or download it as a plain .txt file.

What is OCR and how does it work?

OCR (Optical Character Recognition) detects letters and words in pixel data. Tesseract analyzes shapes, lines, and language models to reconstruct text. Because processing happens locally, your document never leaves your device.

Supported languages

English, Russian, German, French, Spanish, Chinese (Simplified), Arabic, Japanese, plus an auto-detect mode that tries English and Russian. Additional language packs download on first use for that language.

Tips for best OCR accuracy

Use good, even lighting and avoid heavy shadows.
Prefer clear, printed fonts over decorative or tiny text.
Higher resolution helps — crop to the text region when possible.
Keep the image straight; skewed pages reduce accuracy.

FAQ

Can it read handwriting?

Support is limited. It works best with printed or typed text. Neat handwriting may work partially; cursive and messy notes often produce errors.

What image formats are supported?

JPG, PNG, WEBP, GIF, and BMP.

Is there a file size limit?

There is no fixed limit, but very large images use more memory and take longer. For huge scans, resize the image first for faster results.

How accurate is the text recognition?

Accuracy depends on image quality, font, and language. The tool shows a confidence score after extraction. Clean screenshots of text often reach 90%+ on English.