Facial Age Estimation —
Instant, Privacy-First
Age Checks by Agemin
Facial Age Estimation by Agemin delivers fast, accurate, privacy-first age checks from a live selfie—no ID document or credit card required—so you can meet age-assurance rules without adding friction.
Cutting-Edge Technology
Powered by advanced AI and biometric analysis for accurate, secure age verification
Accelerate onboarding with real-time age signals
Agemin's AI estimates age from a single selfie in near real time, guiding users with intuitive on-screen prompts to capture a high-quality image on any modern camera—mobile, desktop, or kiosk. Our liveness detection helps ensure it's a real person (not a spoof or deepfake).
Privacy by design
Agemin processes only the minimum data needed to estimate age and does not transmit or store the user's facial image, ensuring privacy and compliance. Configure retention policies to align with your regulatory obligations and keep sensitive media within your own environment.
Built for global compliance and scale
Use Facial Age Estimation to support age gates (e.g., 13+, 16+, 18+, 21+) and adapt thresholds by market, product, or risk level. Combine automated decisions with manual review for edge cases when your policies require higher assurance.
How it works
Three simple steps to verify age with AI-powered facial analysis
Live selfie capture
Users take a selfie on phone, laptop, or webcam with real-time quality guidance.
Liveness & integrity
Agemin runs passive or active liveness checks to detect presentation attacks and deepfakes.
Age estimation
Our model returns an Answer if the captured face has passed your chosen age limit or not.
Flexible integration for any stack
Embed Agemin quickly via API, SDK, or hosted flow. Orchestrate decisions in your backend with clear response objects.
AI Processing Pipeline
Where Facial Age Estimation excels
Let low-risk users pass instantly while routing uncertain cases to step-up verification. Tune thresholds by geography, product category, or session risk.
Social & UGC
Age-gate account creation
Streaming & gaming
Parental controls
E-commerce
Restricted goods
In-store kiosks
Unattended checks
Online communities
Trust and safety
Website access
Content restriction
Fairness and reliability
Agemin was developed to be secure, accurate, and privacy-friendly. Agemin continuously evaluates model performance across diverse demographics and lighting conditions, with tools to monitor outcomes and fine-tune thresholds so your policies remain effective and inclusive. Agemin's effectiveness is measured through ongoing model evaluation and validation studies. On average, the difference between estimated and actual age in validation studies is minimal, supporting reliable age verification.
Make age assurance effortless
Adopt Agemin's Facial Age Estimation to meet regulations, reduce operational overhead, and give users the quick, private age check they expect—powered by modern liveness and a developer-friendly integration. Agemin respects user privacy and is designed to uphold user trust. Built on a foundation of scientific research and knowledge, Agemin leverages the work of researchers in facial age estimation to deliver a robust and validated solution.
Introduction to Age Estimation
Age estimation is an innovative technology that leverages artificial intelligence to determine a person's age by analyzing their facial features. By using advanced algorithms, businesses and organizations can quickly estimate a user's age, supporting age assurance and identity verification processes without the need for manual checks. This approach is especially valuable for confirming eligibility when accessing age-restricted goods, services, or websites. Facial age estimation offers a non-intrusive, efficient solution for establishing whether an individual meets the required age criteria, making it a powerful tool for companies seeking to comply with regulations and protect their users.
How Facial Age Estimation Works
Facial age estimation operates by examining key facial features—such as skin texture, wrinkles, and bone structure—within images or video frames. Deep learning algorithms, trained on millions of images with known ages, learn to recognize the subtle changes that occur as people age. By correlating these visual cues with age data, the technology can generate an accurate estimated age for each subject. This process is highly efficient, delivering results in seconds and enabling businesses to determine if a user meets age requirements for access or services. The accuracy of these estimates makes facial age estimation a reliable solution for a wide range of applications.
Benefits and Applications
Facial age estimation brings significant benefits to both businesses and users. By streamlining age assurance, it enhances customer satisfaction through faster onboarding and reduced friction. The technology is widely used to control access to age-restricted goods and services, helping prevent children from accessing adult content or products. Its applications span social media, online gaming, e-commerce, and more, where it can verify a person's age during account creation or when accessing sensitive websites. By reducing the risk of age-related abuse and ensuring compliance with regulations, facial age estimation contributes to safer online environments and improved trust between platforms and their users.
Identity Verification
Facial age estimation plays a crucial role in modern identity verification strategies. It allows businesses to confirm a person's age and identity without requiring them to share sensitive identity documents, reducing privacy concerns and streamlining the verification process. This technology can be combined with other biometric authentication methods to create a multi-layered security approach, helping to prevent identity theft and minimize the risk of age-related fraud. For organizations seeking a fast, secure, and user-friendly solution, facial age estimation offers an effective way to confirm identities and meet regulatory requirements.
Technical Requirements
Implementing facial age estimation requires careful attention to technical details. High-quality images or video of the user's face are essential for accurate analysis, and the underlying software must be capable of extracting and interpreting a wide range of facial features. The technology must also account for variations in lighting, pose, gender, and ethnicity to ensure fair and reliable age estimates across diverse populations. Robust data protection measures are necessary to safeguard user privacy, and developing effective age estimation solutions demands significant expertise in machine learning, computer vision, and software engineering. By meeting these requirements, businesses can deploy facial age estimation systems that deliver both accuracy and security.
Get Started with Facial Age Estimation
Join thousands of businesses using Agemin to verify age instantly and privately.