Offline OCR with Local Mode

Use Tesseract.js for free, offline text extraction without consuming any credits.

Setup Instructions

  1. 1

    Open Extension Popup

    Click the Illuminate extension icon in your browser toolbar. The popup shows a "Capture & Translate" button and a gear icon for settings.

    Extension popup with Capture & Translate button
  2. 2

    Open Context Menu

    Right-click on any image you want to extract text from and select "Translate Image".

    Context menu with Translate Image
  3. 3

    View Extracted Text

    Text is extracted and displayed as overlays on the original image. Hover over any overlay to reveal a Copy button or option to open in Google Translate.

    OCR overlays with Copy and Google Translate buttons visible on hover

How It Works

Browser-Based Processing

Tesseract.js runs entirely in your browser using WebAssembly. No data is sent to any server.

Works Offline

Once loaded, Local Mode works without an internet connection. Perfect for offline use.

Free Forever

No credits required. Use local OCR as much as you want at no cost.

Text Extraction

Extract text from any image or screen capture. Translations can be opened in Google Translate.

Get Translations

Since Local Mode extracts text without translation, you can easily translate using Google Translate.

Google Translate showing original text translated to English

Pro Feature

Upgrade to Pro for in-app translations with seamless overlay. No need to switch to Google Translate.

Limitations

Lower Accuracy

May have lower accuracy for complex layouts, tables, or dense paragraphs compared to cloud OCR.

No Translation

Local Mode extracts text only. For in-app translations, upgrade to Pro with cloud processing.

Stylized Fonts

May struggle with highly stylized, decorative, or handwriting fonts.

Tips for Best Results

Good Lighting

Ensure your screenshots have clear, well-lit text without shadows.

High Contrast

Use screenshots with dark text on light backgrounds for best results.

Larger Text

Larger text sizes are easier to recognize accurately.

Simple Backgrounds

Avoid complex backgrounds that could interfere with text recognition.