Image to Text (OCR)

Drag & drop an image here, or click to select

PNG, JPG, BMP, TIFF, WebP - all processed locally in your browser

How to use
  1. 1.

    Select a language for the text in your image (defaults to English)

  2. 2.

    Drag and drop an image or click to upload - PNG, JPG, BMP, TIFF, or WebP

  3. 3.

    Wait for the OCR engine to process the image (progress bar shows status)

  4. 4.

    Copy the extracted text or download it as a .txt file

Common uses
  • Extracting text from screenshots, scanned documents, or photos of whiteboards

  • Digitizing printed receipts, invoices, or business cards

  • Converting handwritten notes or book pages to editable text

  • Extracting text from images in foreign languages

  • Copying text from images where copy-paste is not available

Optical Character Recognition (OCR) converts printed or handwritten text in images into machine-readable text. This tool uses Tesseract.js, the leading open-source OCR engine, running entirely in your browser with no server processing.

Frequently asked questions
What languages are supported?

The tool supports 10 languages: English, Spanish, French, German, Portuguese, Italian, Chinese (Simplified), Japanese, Korean, and Arabic. Select the language before uploading your image for best results.


How accurate is the text extraction?

Accuracy depends on image quality, font clarity, and contrast. Clean, high-resolution images with printed text typically yield excellent results. Handwritten text and low-resolution photos may produce less accurate output.


Is my image sent to a server for processing?

No. All OCR processing runs entirely in your browser using Tesseract.js. Your images never leave your device - no data is sent to any server.


What image formats are supported?

PNG, JPEG, BMP, TIFF, and WebP images are supported. For best OCR results, use high-contrast images with clear, readable text.


Why does processing take a while the first time?

On the first use, the OCR engine downloads a language-specific data file (a few MB) to your browser. Subsequent uses of the same language are faster because the data is cached.