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AI OCR Text Extractor

Extract text from images using AI-powered optical character recognition. Support for multiple languages.

How to Use

  1. 1

    Upload Image

    Select the language of the text in your image from the dropdown menu. Choose 'Auto-detect' if you're unsure or if the image contains multiple languages.

  2. 2

    Select Language

    Upload your image by clicking the upload area or simply drag and drop your image file. Supported formats include PNG, JPG, JPEG, GIF, BMP, and WEBP.

  3. 3

    Process OCR

    Use the brightness and contrast sliders to enhance your image if needed. This is especially helpful for images with poor lighting or low contrast between text and background.

  4. 4

    Review Results

    Click the 'Extract Text' button to start the OCR processing. The extraction usually takes just a few seconds depending on image size and complexity.

  5. 5

    Copy Text

    Once processing is complete, review the extracted text in the result area. You can copy it to your clipboard with one click or download it as a text file for later use.

Frequently Asked Questions

Features

  • Support for major languages including Korean, English, and Chinese. Each language uses an optimized model to provide accurate text recognition.
  • Advanced image preprocessing with adjustable brightness and contrast controls. Enhance image quality before extraction to improve OCR accuracy, especially for low-quality or poorly lit images.
  • One-click text extraction with instant results. Copy extracted text to clipboard or download as a text file. Perfect for digitizing printed documents, extracting text from screenshots, or converting images to editable text.
  • 100% privacy-focused client-side processing. Your images never leave your device and are not uploaded to any server. All OCR processing happens directly in your browser using advanced WebAssembly technology.

Technical Information

  • Powered by PaddleOCR AI engine with state-of-the-art deep learning models
  • Runs entirely in your browser using WebAssembly - no server uploads
  • Supports 14+ languages with dedicated models for each
  • 100% privacy-focused - images never leave your device
  • Optimized for speed with model caching and efficient processing

Common Use Cases

  • Digitizing printed documents and converting them to editable text
  • Extracting text from screenshots for documentation or sharing
  • Converting scanned PDFs to searchable text (extract from PDF screenshots)
  • Capturing text from images in foreign languages for translation
  • Extracting product information from photos for cataloging
  • Converting presentation slides to text for notes and summaries

Limitations & Best Practices

  • Works best with printed text rather than handwritten content
  • Requires clear, well-lit images for optimal accuracy
  • Complex layouts with multiple columns may need manual formatting
  • Very stylized or decorative fonts may have reduced accuracy

Tips for Better Results

  • 💡Use the language-specific model for better accuracy
  • 💡Adjust brightness and contrast before extraction if needed

Tips for Better Results

  • 💡Use high-resolution images with at least 300 DPI for best results. Clear, sharp text is much easier for the OCR engine to recognize accurately.
  • 💡Ensure good contrast between text and background. Dark text on a light background works best. If your image has poor contrast, use the adjustment controls before extraction.
  • 💡Keep text horizontal and avoid skewed or rotated images. If your image is tilted, consider rotating it before uploading for better recognition accuracy.
  • 💡For documents in languages with special characters (Arabic, Chinese, Japanese, etc.), make sure to select the specific language rather than auto-detect for optimal results.