Build a Face-Based Age Verification System with API

Age-restricted products need a way to verify that a customer is old enough. Alcohol delivery, online gambling, vaping shops, and some social platforms require an age verification system by law. Most solutions rely on ID document uploads, which creates friction. A faster approach: estimate the customer's age from a selfie using a face analysis API. This tutorial builds a complete age verification endpoint in Python using the Face Analyzer API . Curious how it works? Try the Face Analyzer API on your own images. How Face-Based Age Verification Works The user takes a selfie. The API detects the face, analyzes facial features, and returns an estimated age range (e.g., 25-35). Your app checks whether the lower bound meets the legal threshold (18, 21, etc.). This is faster than document verification (under 1 second vs 10-30 seconds), works on any device with a camera, and doesn't require the user to have their ID. Unlike biometric authentication that stores templates, this can be stateless: