Verify identity without hoarding biometric data.
Redact and minimize faces, ID-document fields, and biometric identifiers with zero-retention processing - so you store less, and carry less liability.
ID document + selfie - verification-relevant region highlighted; non-essential PII fields and background bystanders redacted.
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.
Data minimization, built in
Redact fields and identifiers you don’t need to keep.
Biometric-aware redaction
Detect and mask faces and biometric identifiers on documents and captured media.
Zero-retention by architecture
Nothing persists on Scanon’s side.
Zero-retention architecture.
Designed to support GDPR, CCPA, and biometric-privacy regimes such as BIPA.
Coverage: faces, license plates, ID documents, badges, and tattoos - across images and video.
Zero-retention reduces what you store and what you defend in an audit.
No ML infra to build. One API call.
Fits into your KYC pipeline in one call - send captured media, get a minimized asset back. Works on images and video with the same endpoint.
- • REST API + SDKs (Node, Python)
- • Images and video from a single endpoint
- • Redact at point of upload
POST https://api.scanon.ai/v1/minimize
Authorization: Bearer sk_live_[YOUR_KEY]
{
"file_url": "https://kyc.example.com/session/[SESSION_ID]/id.jpg",
"keep_fields": ["document_photo", "document_number"],
"redact_bystanders": true
}