A powerful web-based tool to detect whether text content was generated by AI (like ChatGPT) or written by humans. Features real-time analysis with detailed metrics and beautiful visualizations.

• ✨ Instant Analysis - Real-time text detection with immediate results
• 📊 Detailed Metrics - Comprehensive breakdown of text characteristics
• 🎯 High Accuracy - Advanced pattern recognition algorithms
• 🎨 Beautiful UI - Modern, gradient-based design with smooth animations
• 📱 Fully Responsive - Works seamlessly on desktop, tablet, and mobile devices
• 🚀 No Backend Required - Pure client-side processing for privacy

• Formal language patterns detection
• Sentence structure analysis
• Common AI phrase identification
• Punctuation pattern analysis
• Word length and complexity metrics
• Writing style consistency checking

Clean and intuitive text input interface with gradient background

Detailed analysis showing AI-generated content with confidence score

Analysis results for human-written content with breakdown charts

Comprehensive metrics including word count, sentence structure, and style indicators

Live Demo | Video Tutorial

The detector analyzes text using multiple algorithms:

1. Pattern Recognition - Identifies common AI writing patterns
2. Linguistic Analysis - Examines word choice and sentence structure
3. Style Consistency - Checks for uniformity typical of AI text
4. Statistical Analysis - Evaluates word length, sentence complexity
5. Phrase Detection - Looks for frequently used AI expressions

1. Clone the repository:

git clone https://github.com/yourusername/ai-text-detector.git

2. Navigate to the project directory:

cd ai-text-detector

3. Open index.html in your browser:

# On Mac
open index.html

# On Linux
xdg-open index.html

# On Windows
start index.html

That's it! No dependencies or build process required.

1. Enter Text: Paste or type the text you want to analyze in the text area
2. Click Analyze: Press the "🔍 Analyze Text" button
3. View Results: See detailed analysis with confidence scores and metrics
4. Clear: Use the "🗑️ Clear" button to start a new analysis

// The main analysis function
function analyzeText() {
    const text = document.getElementById('textInput').value.trim();
    const analysis = performAnalysis(text);
    displayResults(analysis);
}

Edit the CSS variables to customize colors:

/* AI Detection Colors */
.ai-badge {
    background: linear-gradient(135deg, #f093fb 0%, #f5576c 100%);
}

/* Human Detection Colors */
.human-badge {
    background: linear-gradient(135deg, #4facfe 0%, #00f2fe 100%);
}

/* Primary Gradient */
body {
    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
}

Contributions are welcome! Here's how you can help:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

• Follow existing code style and formatting
• Add comments for complex logic
• Test thoroughly across different browsers
• Update documentation as needed

• Add support for multiple languages
• Implement machine learning model integration
• Add browser extension version
• Create API endpoint for programmatic access
• Add export functionality (PDF/JSON reports)
• Implement batch text analysis
• Add comparison mode for multiple texts
• Create mobile app versions

• Very short texts (< 20 words) may have less accurate results
• Multilingual text mixing may affect detection accuracy
• Some creative writing styles might be misclassified

This project is licensed under the MIT License - see the LICENSE file for details.

Your Name

• GitHub: @itsomg134
• Twitter: @omgedam
• Email: omgedam123098@gmail.com
• Portfolio: ogworks.lovable.app
• LinkedIn: Om Gedam

• Inspired by the need for AI content detection tools
• Design inspiration from modern web applications
• Community feedback and contributions

If you have any questions or need help:

• Email: omgedam123098@gmail.com
• Portfolio: ogworks.lovable.app
• LinkedIn: Om Gedam