Sealedrose - Fake video detector NEW

Sealed Rose Deepfake Video Detector performs frame-by-frame deepfake and synthetic media analysis to detect face-swap artifacts and generator fingerprints. It reports separate deepfake and AI-generation scores, the likely synthesis source when identifiable, and the number of frames analyzed to aid forensic assessment.

The detection engine recognizes signatures from major text-to-video and face-swap models and flags persistent synthesis signals across frames. Uploaded clips are analyzed in-memory and deleted after scanning to avoid persistent storage.

A browser extension enables one-click scanning of online images and videos without leaving persistent traces. The platform also includes specialized forensic checks for profile verification, live-call anomalies, and audio/voice clone detection.

Key Features

• Frame-by-frame deepfake and synthetic media analysis that detects face-swap artifacts and generator fingerprints
• Reports separate deepfake and AI-generation scores and the number of frames analyzed
• Identifies likely synthesis source (model attribution) when identifiable
• Recognizes signatures from major text-to-video and face-swap models and flags persistent synthesis signals across frames
• Browser extension for one-click scanning of online images and videos without leaving persistent traces

Use Cases

• Quickly verify the authenticity of viral or user-submitted videos using Sealed Rose's one-click browser scan and frame-by-frame deepfake analysis to expose face-swap artifacts, report separate deepfake and AI-generation scores, and identify likely synthesis sources for newsroom fact-checking or social media moderation
• Produce forensic-grade evidence packages for legal and investigative teams by leveraging Sealed Rose to flag persistent signals across frames, provide frame counts and synthetic-media fingerprints, and combine profile, live-call and voice-clone forensics to substantiate findings
• Integrate Sealed Rose into platform moderation and trust-and-safety workflows to automatically scan uploads and live streams, detect synthetic media and voice clones in real time, prioritize high-risk items with persistent indicators, and deliver detailed reports for rapid takedown and compliance decisions

Who is it for?

• Journalists and fact-checkers
• Social media trust & safety teams and content moderators
• Law enforcement and digital forensics investigators
• Corporate security and fraud-prevention teams (banks, call centers)
• Legal and forensic experts verifying evidence
• Ai/ml researchers and media-forensics academics
• Pr and crisis-response teams
• Brands and content creators protecting identity and reputation
• Private investigators and background-check services
• Individual users verifying online profiles and suspected deepfakes
• Nonprofits and ngos combating misinformation