Social media & online communities
Protect minors and support age assurance for user-generated content.
Age-restricted businesses face growing pressure to protect minors, verify age reliably, and prove compliance across markets.
But stronger compliance does not have to mean more friction for every user. The key is to apply the right level of age assurance for each journey — from a quick selfie-based age estimate to stronger ID and biometric checks when risk is higher.
From strict age verification to lightweight age estimation for age restricted goods & services, gaming platforms, dating apps, online platforms, social media, and other.
Regula combines age estimation, document verification, biometric checks, and fraud prevention signals in one age verification platform.
Age from selfie
AI age estimation
Date of birth*
ID data extraction
Face match
Selfie to ID portrait
Liveness
Spoof and replay protection
Fraud signals*
Risk-based step-up logic
Document authenticity
Forgery and tampering checks
*Date of birth extraction and document authenticity checks are supported through Regula Document Reader SDK. ID-related fraud signals, workflow creation, and workflow management can be supported through Regula IDV Platform, depending on the configuration.
The best age verification software should not force every user through the same process. Regula lets you apply stronger checks only when the risk is higher based on age threshold, user risk, regional regulatory requirements, and business needs.
A checkbox or date-of-birth field is easy to bypass. It does not prove that the user is old enough to access age-restricted products, services, or content.
Modern age verification requires stronger methods. Businesses need to protect minors, prevent fraud, meet regulatory requirements, and keep the user experience smooth.
Built for compliance teams and developers who need accuracy, flexibility, and speed — without trade-offs.
Less friction, more assurance
Start with AI age estimation and request an ID only when stronger verification is needed.
NIST-recognized age estimation
Use age estimation technology ranked among top performers in NIST age assurance scenarios.
Complete verification workflow
Combine ID scanning, biometrics, liveness, and document authenticity checks.
Compliance-ready configuration
Set checks by age threshold, market, risk level, and regulatory requirement.
Flexible deployment
Use Regula via API, SDK, web, mobile, Docker, cloud, hybrid, or on-prem.
Forensic-grade global coverage
Rely on Regula’s document authenticity expertise and worldwide identity document coverage.
What is age verification?
Age verification is one of the methods used in age assurance. It confirms a person’s age or date of birth using reliable evidence, such as an identity document or verified digital identity data.
Age assurance is a broader concept. It refers to the set of processes and methods used to verify, estimate, or infer a person’s age or age range, so organizations can make age-related eligibility decisions with different levels of certainty.
Depending on the scenario, age assurance may include:
Regula helps businesses choose the right age assurance flow for each use case — from simple selfie-based age estimation to ID-based age verification and stronger workflows with biometrics, liveness detection, and document authenticity checks.
How does age verification work?
Age verification confirms whether a user meets a required age threshold. Regula can estimate age from a selfie, extract date of birth from an identity document, verify document authenticity, and match the user to the ID portrait.
Who is age verification best for?
Age verification is best for businesses that need to verify users against specific age thresholds, protect minors, meet regulatory requirements, and keep the user experience fast.
Regula is especially useful for businesses that need to:
Which industries need age verification checks?
Age verification is used in social media, gaming, gambling, alcohol and tobacco e-commerce, adult content, fintech, telecom, delivery, events, travel, and hospitality.
What is the difference between age verification and age estimation?
Age estimation predicts a likely age from a selfie. Age verification confirms age using a stronger signal, such as an identity document. Many businesses use both in a step-up workflow.
Can users verify age without scanning an ID?
Yes. For some use cases, selfie-based age estimation can confirm whether a user is likely above or below the required threshold without collecting an ID document from every user.
What age verification methods does Regula support?
Regula supports AI age estimation, ID scanning, document authenticity checks, face matching, liveness detection, and configurable step-up workflows.
Can Regula be deployed on-prem?
Yes. Regula supports flexible deployment options, including cloud, hybrid, Docker, SDK, API, mobile, web, desktop, and on-prem environments.
How does Regula protect user privacy?
Regula can reduce unnecessary document collection through selfie-based age estimation and supports deployment models that help businesses control sensitive data handling.
Are there regulations related to age verification?
Yes. Age verification is becoming a regulatory requirement in many markets, especially for online safety, adult content, gambling, alcohol and tobacco sales, social media, gaming, fintech, and other age-restricted services.
Examples include the UK Online Safety Act, EU Digital Services Act guidelines for the protection of minors, France’s SREN Law and ARCOM age verification guidelines, and Australia’s Social Media Minimum Age framework for under-16 users. Requirements vary by country, industry, product, and risk level, so businesses need configurable age verification workflows that can support different age thresholds and assurance levels.