Tech
Deepfake Detection Probability Estimator
Statistical likelihood that media is AI-generated based on observable signals.
In this article
Key deepfake artifacts to look for
- Blinking: Early deepfakes rarely blinked; 2026 models have improved but still show subtly unnatural patterns
- Hair edges: GAN artifacts appear as blurring or "melting" at hairlines
- Lighting: The AI's face lighting often doesn't match the background scene
This calculator is a guide, not a detector
Professional verification requires tools like Microsoft Video Authenticator, Hive Moderation, or deepware.ai. This calculator helps you assess observable signals, not definitively determine authenticity.
⚡ CalcWolf Insight
Deepfake detection accuracy of human viewers dropped to 52% in 2026 — barely better than chance. AI detection tools achieve 85–91% accuracy on known generation methods, but novel generators frequently evade detection.
Frequently asked questions
How can I tell if a video is a deepfake?▾
Look for: unnatural blinking, skin that's too smooth, lighting inconsistencies, and lip sync that's slightly off. But 2026 deepfakes often fool humans — use dedicated software for important decisions.
How accurate is deepfake detection?▾
Current AI detection tools achieve 85-95% accuracy on known deepfake methods but struggle with new techniques. The most reliable detection still combines AI tools with human analysis — looking for inconsistencies in lighting, reflections, hair details, and background elements.
✓ Math logic verified against primary sources
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