Image to Text (OCR)

Extract Text from Images Instantly

Free online OCR tool with 100+ language support. Works entirely in your browser.

Note: First-time language loading may take a few seconds

Drag and drop images here, or

Supports JPG, PNG, GIF, WebP, BMP

How it works:

  • Upload one or more images containing text
  • Select the language of the text
  • Click "Extract" to recognize and extract text
  • Copy or download the extracted text

Privacy: All processing happens in your browser. Your images are never uploaded to any server.

Why Use an Image to Text Converter?

Using an image to text converter enables you to extract text from images, digitize documents, convert scanned text, and make image text editable and searchable.

Benefits of OCR Technology

  • Text Extraction: Extract text from images and photos
  • Document Digitization: Convert scanned documents to editable text
  • Multi-Language Support: Support for 100+ languages
  • Privacy: Processing happens entirely in your browser
  • Easy Editing: Make image text editable and searchable

How OCR Works

OCR (Optical Character Recognition) uses advanced AI technology to recognize and extract text from images. Understanding OCR helps you achieve better text extraction results.

OCR Features

  • Text Recognition: Recognize text in images
  • Language Support: Support for 100+ languages
  • Batch Processing: Process multiple images at once
  • Format Support: Support for JPG, PNG, WEBP formats
  • Privacy: Complete privacy with client-side processing

When to Use an Image to Text Converter

Use an image to text converter when extracting text from images, digitizing documents, converting scanned text, or making image text editable.

Ideal Use Cases

  • Document Digitization: Convert scanned documents to text
  • Text Extraction: Extract text from photos and screenshots
  • Data Entry: Speed up data entry from images
  • Accessibility: Make image text accessible and searchable
  • Translation: Extract text for translation purposes

OCR Facts

Understanding these facts helps you achieve better OCR results.

Key Statistics

  • OCR accuracy depends on image quality and clarity
  • High-resolution images produce better OCR results
  • Clear, well-lit text is easier to recognize
  • OCR supports printed and handwritten text
  • Language selection improves recognition accuracy

Best Practices

Follow these guidelines to achieve optimal OCR results.

Quality Considerations

  • Use high-quality, clear images for best results
  • Ensure text is well-lit and in focus
  • Select the correct language for better accuracy
  • Use images with good contrast between text and background
  • Review and correct extracted text as needed

When Not to Use

  • Don't use for very low-quality or blurry images
  • Avoid using for images with complex layouts
  • If text is very small or unclear, OCR may struggle
  • Don't use for images with heavy image compression artifacts