How iFake Thinks – AI Transparency Panel
Highlights detected faces within the media using advanced bounding box techniques.
Identifies and overlays zones of potential manipulation, pinpointing inconsistencies.
Analyzes blinking patterns, head movements, and expressions for unnatural anomalies.
Calculates consistency scores across video frames, assessing temporal coherence.
Provides a Real/Deepfake classification with a precise confidence percentage.
e.g., 98.7% Real
Performance Metrics
Our iFake detection system outperforms traditional methods across all standard benchmarks.
Detection Accuracy
Comparison of our model versus traditional methods across major deepfake datasets.
Simple Steps to Clarity
1. Upload Your Media
Easily upload your video or image file. We support a wide range of formats for your convenience.
2. AI-Powered Analysis
Our advanced AI models meticulously scan your media for tell-tale signs of manipulation and deepfake artifacts.
3. Review Detailed Results
Receive a comprehensive report including a probability score, visual heatmap, and a breakdown of detected anomalies.