How VidAudit Cuts Security Footage Review Time by 90%
Replacing hours of manual video scrubbing with minutes of AI-flagged clips.
Security officers don't have a footage problem. They have a time problem.
A standard commercial facility generates 10–20 hours of camera footage per shift. After an incident — a theft, a fight, a premises liability claim — someone has to watch all of it. That job lands on a supervisor who has 12 other things to do, and it takes hours.
VidAudit flips that workflow.
How it works
Upload a clip. VidAudit sends it through Gemini's video understanding API and returns a timestamped summary of every meaningful event: movement patterns, object presence, behavioral flags. Officers jump straight to the flagged moments instead of scrubbing from the beginning.
The average analysis time is under 3 minutes. A clip that used to require an hour of review becomes a 5-minute task.
What makes it actually usable
The output isn't a confidence score buried in JSON. It's a plain-language log — "person enters frame at 0:42, removes item from shelf at 1:14, exits at 1:31" — formatted for handoff to a supervisor, HR, or legal. No model jargon. No threshold tuning.
That matters in enterprise security. The people who use this tool aren't ML engineers. They're officers who need to write an incident report in 20 minutes and get back on the floor.
Where it lives
VidAudit is live in production, running in an enterprise security operation. The footage stays on Vercel Blob, access is scoped per team, and nothing trains on client data.
If you run a security operation, loss prevention program, or facilities compliance team and want to see it, I'm happy to walk through it.