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user age checks
Veriff’s Age Validation solution enables your business to seamlessly confirm whether or not users are above a minimum age threshold. Choose to grant access to age-appropriate users while underage users are automatically declined.
Make age verification seamless
with an automated check
Veriff’s Age Validation solution enables you to seamlessly confirm whether or not users are above a predefined minimum age threshold, crucial for any business that provides age-gated content, goods, or services.
SUPPORT REGULATORY COMPLIANCE
Keep your business, reputation, and underage users safe with automated age checks.
CUSTOMIZED TO YOUR NEEDS
Thresholds can be tailored for different populations, markets, or regions.
UNMATCHED DOCUMENT COVERAGE
Over 12,000 identity documents are covered in 230+ countries and territories.
COVERING MULTIPLE LANGUAGES
Veriff supports 48 languages and dialects.
How Age Validation works
See how easy it is to validate user age
Veriff extracts the date of birth from your user’s identity document to calculate their age.
The calculated age is cross-checked to see if it is above your predefined minimum age threshold. You can set your own thresholds, the most common are 13, 14, 16, 18, 20, 21, or 25.
The age validation result is returned and users below your predefined threshold can be automatically declined.
Protect your business and underage users by ensuring that age-restricted content, products, and communities cannot be accessed by minors.
12,000+ identity documents
Veriff supports over 12,000 identity documents from across 230+ countries and territories. Our global reach enables you to confirm your user’s age from all corners of the world.
Supports 48 languages and dialects
We localized our end-user flows for the world’s biggest markets, and the more languages we offer, the more customer populations we can support. With 48 unique languages and dialects today, our team will continue to expand our reach to keep up with the strategic visions of our partners.
Assisted Image Capture
Veriff uses machine-learning technology to assess sessions in real-time and guide users during the photo-taking steps. Poor lighting, glare, cropped ID, and obstructed facial images are just a couple of examples of how Assisted Image Capture pre-validates images and boosts first-time pass rates.
Network and device analytics
As a fraud prevention measure, Veriff analyzes the device and network used for a verification session and assigns each a unique fingerprint. Along with hundreds of other parameters, personal data on the ID, and other inconsistencies before a result is provided.
Liveness detection
Veriff can determine if a session or user is real or a spoof attempt, without unnecessary input from the user. Your customers won’t have to complete any additional steps for Veriff’s liveness detection.
Customers around the world trust Veriff
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Talk to us and keep users safe
Get in touch with a Veriff Identity Verification expert to learn more about how identity document verification stops fraud,
while helping you convert more genuine users.