Redact PII from evidence - without slowing the investigation.
Detect and remove faces, license plates, IDs, and badges across collected and scraped media, so your reports protect bystanders, sources, and your firm’s liability.
Dossier page — subject of interest visible; bystander face and agency badge redacted around them.
Three steps. Nothing stored.
Send media
Push a file or URL via REST API - or trigger at the moment your users upload.
Scanon detects PII
Faces, plates, IDs, badges, and tattoos identified across images and video.
Redacted media returned
You get the clean asset back. Nothing is stored on our side. Zero retention.
Built for this vertical, not repurposed for it.
Protect third parties by default
Auto-redact bystanders, plates, badges, and IDs around your subject.
Selective redaction
Keep the subject visible and redact everyone else, or the reverse.
High-volume, mixed-source media
Scraped, captured, and uploaded images and video in one pipeline.
Zero-retention architecture.
Zero-retention - evidence processed and returned, never stored, friendlier to chain-of-custody.
Coverage: faces, license plates, ID documents, badges, and tattoos - across images and video.
Helps you meet GDPR, CCPA, and data-minimization obligations.
No ML infra to build. One API call.
No ML team required. Point our REST API or SDK at your evidence store; run it inside your existing investigation workflow.
- • REST API + SDKs (Node, Python)
- • Images and video from a single endpoint
- • Redact at point of upload
curl https://api.scanon.ai/v1/redact \ -H "Authorization: Bearer sk_live_[YOUR_KEY]" \ -F "file=@evidence_2026_04_18.mp4" \ -F "keep_subject_id=subject_A21" \ -F "targets=faces,plates,badges,ids"