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  1. Home
  3. AI & ML
  5. Image to Text (OCR)

Image to Text (OCR)

Extract text from images, screenshots, and documents

📷
Drop image here, paste, or click to upload
Supports PNG, JPEG, GIF, WebP, BMP (max 20MB)

Privacy Guarantee

  • All OCR processing happens entirely in your browser
  • Your images are never uploaded to any server
  • Language models are downloaded once and cached locally
  • Works offline after the first use of each language

Related Tools

  • Image to Base64 - encode images for AI vision APIs
  • Token Counter - count tokens in extracted text
  • Text Case Converter - change text case
  • Word Counter - count words and characters

How to Use Image to Text (OCR)

  1. 1

    Upload an image

    Drop, paste, or click to upload an image containing text.

  2. 2

    Select language and recognize

    Choose the text language and click Recognize Text to extract.

  3. 3

    Copy extracted text

    Review the extracted text and click Copy to use it anywhere.

Frequently Asked Questions

Yes, our Image to Text tool is completely free with no limitations. Extract text from as many images as you need without registration, watermarks, or usage restrictions.

Absolutely. All OCR processing happens entirely in your browser using WebAssembly technology. Your images are never uploaded to any server. The language models are downloaded once and cached locally in your browser, meaning the tool even works offline after the first use.

The tool supports 11 languages: English, Spanish, French, German, Chinese (Simplified and Traditional), Japanese, Korean, Arabic, Portuguese, and Russian. Language models are downloaded on-demand when you first use each language and are cached for future use.

The tool supports all common image formats including PNG, JPEG, GIF, WebP, and BMP. You can upload images up to 20MB in size. For best OCR results, use clear, high-contrast images with legible text.

The first time you use a language, the tool downloads its trained language model (about 10-15MB depending on the language). This model is cached in your browser, so subsequent recognitions are much faster. The progress bar shows both the model download and text recognition phases.