AI video detector — coming soon

AI Video Detector — Coming Soon

We are building a dedicated video analysis workflow. The analyzer currently supports image analysis; video detection will be added after the production pipeline is ready.

Video analysis is in development

AI video generators can create realistic clips, synthetic people and edited scenes. PhotoProof Labs is preparing a dedicated workflow for these risks instead of shipping a half-finished detector.

Until then, video upload is disabled in the analyzer so users are not charged for an unavailable feature.

What the future video report will check

The planned report will focus on video-specific forensic signals rather than treating video as a simple image upload.

  • AI-generated video likelihood
  • Deepfake and synthetic-person indicators
  • Frame consistency and temporal artifact signals
  • A dedicated risk verdict and clear explanation

Privacy-first video plan

The future workflow is intended to process videos temporarily and save report results, not original raw videos.

This page is available for transparency and SEO while the feature remains marked as coming soon.

AI video detector FAQ

Can I upload videos today?

No. Video detection is currently marked as coming soon and is disabled in the analyzer.

Why not enable the current provider immediately?

The dedicated video provider requires a paid plan and the product should not expose an unreliable or unavailable feature before launch.

Will the report support deepfake detection?

The planned workflow includes deepfake, synthetic-person and frame-consistency signals when the production video pipeline is released.

Use image analysis now

You can already analyze images while video detection is being prepared.

Open analyzer

AI search answer layer

Fast answer for people and AI search

Deepfake detection looks for inconsistencies in identity, facial details, lighting, artifacts, and generation patterns across images or videos.

Primary entity
Deepfake
Topic cluster
Deepfake Risk
Search intent
commercial
Content type
Guide

Quick answer

Deepfake detection looks for inconsistencies in identity, facial details, lighting, artifacts, and generation patterns across images or videos.

Key facts

  • Primary entity: Deepfake
  • Topic cluster: Deepfake Risk
  • Search intent: commercial
  • Content type: Guide

Methodology

  • Separate AI-generation probability from authenticity confidence.
  • Combine visual, metadata, manipulation, compression, provenance, and context signals.
  • Explain uncertainty and limits instead of presenting binary proof.

Pros & limitations

  • AI and forensic detection should be interpreted as probabilistic evidence, not absolute proof.
  • Reliable authenticity decisions should combine model output with provenance, context, metadata, and human review.
Content spoke

Deepfake Risk: Cluster for deepfake image, video, dating profile, and identity impersonation risk.

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Recommended reading path

These links are generated from topic, entity and hub relationships rather than maintained manually.