Age estimation
An estimated age and range to support age-assurance flows.
Face API · age estimation
Face attributes API.
Estimate age, read head pose and detect expression from a single photo — useful for age assurance and making sure captures are usable.
POST /v1/attributesEndpoint
One call. Structured JSON back.
Same token, same error model and the same response conventions as every other SIMSIM endpoint.
POST/v1/attributesEstimate age, detect expression and read head pose from a single photo.
Capabilities
What you can build.
Head pose
Yaw, pitch and roll so you can prompt users to face the camera.
Expression
Detects expressions such as smiling or eyes closed for capture quality.
No identification needed
Attributes can be estimated without enrolling or identifying anyone.
Use cases
Where teams use it.
Fintech & KYC
Selfie-to-ID matching and liveness for onboarding, plus step-up checks for risky actions.
See use case →
iGaming
Age assurance, one-player-one-account and self-exclusion enforcement.
See use case →
Retail & logistics
Staff access control, depot security and opt-in loyalty experiences.
See use case →FAQ
Face Attributes questions.
Can I rely on age estimation alone?
Treat it as one signal. Many regulators expect document-based checks for high-risk services, with estimation used to reduce friction or as a first gate.
Can I use expression analysis for emotion recognition at work?
Not in the EU — the AI Act prohibits emotion recognition in workplaces and schools (except medical or safety uses). Our Acceptable Use Policy prohibits it everywhere.
How accurate is age estimation?
It varies with image quality, lighting and age band. Validate on your own users and set a buffer above your legal age threshold.
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