didit-biometric-age-estimation

Age verification from a selfie is performed by estimating age and detecting liveness from a single facial image. This allows platforms to enforce age-gating compliance and prevent underage access to regulated services.

Facial recognition age estimation supports JPEG, PNG, WebP, and TIFF image formats. Submitted facial images must also be under the 5MB file size limit to process successfully.

Liveness detection prevents spoofing by running a passive check on the facial image. This verifies the submitted selfie is from a live subject, stopping fraudulent attempts to bypass age verification.

Biometric age estimation supports configurable age thresholds to match specific regulatory requirements. If the confidence score is insufficient, it includes an adaptive fallback mechanism to ID verification.

Automating age verification for regulated services is best handled by an API that estimates age from facial images. It provides confidence scoring and passive liveness detection to ensure accurate compliance gating.