What is Sealedrose - Fake video detector?
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.
Sealedrose - Fake video detector details
- Jurisdiction
- Florida
- Built for
- Individuals
Sealedrose - Fake video detector tech specs
- Works with
- OpenAI / GPT OpenAI / Sora OpenAI / DALL-E Google / Gemini Google / Veo Google / Imagen Google / Nano Banana Stability AI xAI / Grok Black Forest Labs / Flux Midjourney Runway Luma AI Pika Kling MiniMax / Hailuo Alibaba / Wan Tencent / Hunyuan ElevenLabs Suno Udio MiniMax
- Payment Processors
- Stripe
- Integrations
- Twilio WhatsApp
Sealedrose - Fake video detector pricing
Freemium- Refund window
- 14 days
- Auto-renewal
- No
Trial, refund and renewal terms as stated in Sealedrose - Fake video detector's own published documentation.
Verify on the official pricing page.
View plansSealedrose - Fake video detector's key features
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Frame-by-frame deepfake and synthetic media analysis that detects face-swap artifacts and generator fingerprints
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Reports separate deepfake and AI-generation scores and the number of frames analyzed
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Identifies likely synthesis source (model attribution) when identifiable
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Recognizes signatures from major text-to-video and face-swap models and flags persistent synthesis signals across frames
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Browser extension for one-click scanning of online images and videos without leaving persistent traces
Sealedrose - Fake video detector use cases
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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
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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
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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
Sealedrose - Fake video detector user reviews
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Who is Sealedrose - Fake video detector for?
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Journalists and fact-checkers
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Social media trust & safety teams and content moderators
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Law enforcement and digital forensics investigators
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Corporate security and fraud-prevention teams (banks, call centers)
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Legal and forensic experts verifying evidence
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Ai/ml researchers and media-forensics academics
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Pr and crisis-response teams
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Brands and content creators protecting identity and reputation
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Private investigators and background-check services
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Individual users verifying online profiles and suspected deepfakes
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Nonprofits and ngos combating misinformation
