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GitHub Repository
Local-first inspection engine to detect AI-generated video artifacts, deepfakes, and diffusion slop.
0 starsJavaScript
Detecting deepfakes without sending your files to a cloud API
by XQorp·May 11, 2026·2 points·0 comments
AI Analysis
●●●BangerBig BrainWizardry
Detects deepfakes locally using optical flow vectors instead of sending files to cloud APIs.
Strengths
- •Uses Farneback's algorithm to map pixel vectors rather than relying on black-box neural nets.
- •Fully offline architecture ensures sensitive media never leaves the user's machine.
- •Visualizes temporal incoherence via 36-bucket directional histograms for explainable results.
Weaknesses
- •Optical flow alone may struggle with high-quality diffusion models that maintain object permanence.
- •Requires local Python and OpenCV setup, creating friction compared to drag-and-drop web tools.
Category
Target Audience
Security researchers, journalists, and privacy-conscious users
Similar To
Hive Moderation · Sensity AI · Microsoft Video Authenticator
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