Preserve what is real – a tamper-evident registry for critical video.
In an era where AI-generated and heavily edited videos are everywhere,
AI-VideoAuth acts as a tamper-evident evidence vault:
when you register an important video, we store AI authenticity signals and an
edit-history hash chain, so you can later prove that your local file still matches the original.
How it works: AI signals × hash chain × local verification
1. Register the video
When you upload a critical video, we compute a SHA-256 hash, assign a UUID, and store it together with core metadata in a secure registry.
2. AI authenticity check
A dedicated AI model estimates whether the video is real, AI-generated, or unknown, and stores the label and confidence score as part of the evidence record。
3. Edit-history hash chain
When you register an edited version as a child of an original, each generation forms a new block linked to the previous hash, creating an edit-history chain that is tamper-evident。
4. Verify your local copy
Later, you can upload any local copy; we compare its hash against the registry and report whether it is an exact match, different, or another generation in the chain。
Key use cases
- News agencies and broadcasters proving authenticity of field footage
- Preserving and validating surveillance or dashcam evidence
- Managing video evidence for compliance investigations and whistleblowing
- Ensuring originality of e-learning and training materials
- Guaranteeing quality and traceability of video datasets for AI training
Getting started
You can start small and gradually scale up: use the free tier to verify whether AI-VideoAuth fits your evidence-preservation workflow, then upgrade as volume and risk increase。
For high-volume use, system integration, or enterprise contracts, please reach out via the contact form or email。