AI face & plate detection
On-device detectors propose boxes. Keep selected people clear. Draw extra boxes when detection misses.
Everything runs on your machine. Export permanently rewrites pixels — editors cannot strip a blur layer to restore the original.
On-device detectors propose boxes. Keep selected people clear. Draw extra boxes when detection misses.
Draw boxes for faces, plates, badges, or screens. Follow with CSRT, or lock a rectangle for a time range.
Mark mute or beep spans on the timeline. No speech recognition — audio is operator-timed only.
Choose the style your policy requires. Every option rewrites pixels in the export — not a removable overlay that image tools can peel off.
No upload pipeline on this site or in the app workflow. Ideal for schools, law, and security.
Each capability has its own page so searchers and procurement can land on the exact workflow they named.
Auto-detect faces and draw manual boxes. Keep selected people clear; burn the rest.
Auto-detect plates and draw manual boxes. Track and burn mosaics for CCTV, bodycam, and dashcam.
A checklist of identifiers compliance teams actually mask in footage.
Mark mute or beep ranges by hand. No speech recognition — audio is operator-timed only.
No upload path. Process on an air-gapped Windows PC after activation.
Automated detection so you are not painting every frame by hand.
Research and ethics-review language for irreversible local anonymisation.
Procurement brief: deployment, masking styles, and how we differ from cloud SaaS.