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Detection Toolsv1.8.0

AI Detection Suite

Advanced detection tools for identifying AI-generated content, deepfakes, and synthetic media across multiple modalities.

ZIP Archive
Key Features
  • Text detection (GPT, Claude, Gemini signatures)
  • Image deepfake detection
  • Audio deepfake detection
  • Video manipulation detection
  • Multi-modal analysis
  • Confidence scoring and explainability
  • Batch processing support
  • REST API for integration
System Requirements
  • Python 3.9 or higher
  • TensorFlow 2.x or PyTorch 2.x
  • 16GB RAM minimum (32GB for video processing)
  • GPU strongly recommended
  • CUDA 11.8+ for GPU acceleration
Common Use Cases
1
Content moderation platforms
2
Journalism and fact-checking
3
Social media monitoring
4
Enterprise security
5
Academic research
Installation & Usage
# Extract archive
unzip ai-detection-suite.zip
cd ai-detection-suite

# Install with GPU support
pip install -r requirements-gpu.txt

# Or CPU-only
pip install -r requirements.txt

# Download pre-trained models
python scripts/download_models.py

# Run detection
python detect.py --input sample.jpg --type image

# Start API server
python api_server.py --port 8000
Documentation & Support

Comprehensive documentation is included in the download package. You'll find:

  • README.md with quick start guide
  • Full API documentation
  • Example configurations and use cases
  • Troubleshooting guide
  • Community support links
License & Legal

This tool is provided for security research and testing purposes only. By downloading and using this tool, you agree to:

  • • Use the tool only on systems you own or have explicit permission to test
  • • Comply with all applicable laws and regulations
  • • Not use the tool for malicious purposes
  • • Follow responsible disclosure practices for any vulnerabilities discovered

Licensed under MIT License. See LICENSE file in the package for full terms.

Ready to Download?

Get started with AI Detection Suite and enhance your AI security posture today.

This tool is currently under development. The download will be available soon.

For now, you can access the source code and documentation on our resources page or contact us for early access.