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What is Image to Text (OCR)?

Free online OCR tool. Upload a photo, screenshot, or scanned document and extract all text instantly. Supports 30+ languages. No upload to servers — runs in your browser with Tesseract.js.

No file uploadsNo tracking of inputsNo account requiredWorks offline after first load

Image to Text runs entirely in your browser using Tesseract.js (WebAssembly). Your data never leaves your device.

Free Image to Text (OCR)

Extract text from images without uploading them to any server. Drop a PNG, JPG, WEBP, or BMP file and the OCR engine (Tesseract.js, powered by WebAssembly) reads every character and returns editable text in seconds. Supports 30+ languages including English, Spanish, French, German, Chinese, Hindi, Arabic, and more. The side-by-side view lets you compare the original image with the extracted text. Copy to clipboard or download as a .txt file.

Free to embed on your website · No signup required
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Drop image here or click to upload

PNG, JPG, WEBP, BMP — processed entirely in your browser

Frequently Asked Questions

PNG, JPG/JPEG, WEBP, and BMP. For best accuracy, use high-resolution images (at least 300 DPI) with clear contrast between text and background.
Yes. Scanned documents work well when the scan is clear and straight. Skewed or low-quality scans may reduce accuracy.
No. The entire OCR process runs in your browser using WebAssembly. Your image never leaves your device.
Over 30 languages including English, Spanish, French, German, Italian, Portuguese, Dutch, Russian, Chinese (Simplified & Traditional), Japanese, Korean, Arabic, Hindi, Turkish, Polish, Ukrainian, and more.
Accuracy depends on image quality. Printed text in high-resolution images typically achieves 95%+ accuracy. Handwriting, unusual fonts, and low-contrast images will reduce accuracy. For best results, use images with at least 150 DPI resolution.
Yes. Screenshots work very well since they are typically sharp and high-resolution digital images. Just paste or upload the screenshot and the OCR engine extracts all text.

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How Browser-Based OCR Works

This tool uses Tesseract.js, a WebAssembly port of the Tesseract OCR engine originally developed at HP Labs and maintained by Google. Tesseract is one of the most accurate open-source OCR engines available. The WebAssembly build runs the full C++ OCR pipeline entirely within your browser — no server receives your image at any point. When you first use the tool, the WebAssembly module and the language data file (a trained neural network model) are loaded from a CDN and cached by your browser, so subsequent uses are faster.

Getting the Best OCR Accuracy

OCR accuracy depends heavily on image quality. For the best results: use images with at least 150 DPI resolution (300 DPI for small text), ensure high contrast between text and background (black text on white is ideal), avoid skewed or rotated text, and select the correct language. Screenshots of digital text (websites, code, documents) typically achieve near-perfect accuracy. Photographs of printed documents perform well with good lighting and a straight angle. Handwriting recognition works for clear, printed handwriting but struggles with cursive or irregular styles.

Common Use Cases

Image-to-text conversion is useful in many everyday scenarios: extracting text from a screenshot to edit or search it, digitizing printed forms or invoices, copying text from a book or whiteboard photo, extracting error messages from application screenshots, pulling data from scanned receipts, or making image-based content searchable. For multi-page scanned PDFs, see the PDF OCR tool which handles PDFs directly.