iDenfy, an organisation specialising in identity verification, compliance, and fraud prevention, has unveiled its Age Estimation tool.
This new feature is integrated within their onboarding software, allowing businesses to handle age verification independently of the usual identity verification process while maintaining stringent security standards. Users can now opt for an alternative workflow that does not require document-based verification but still meets necessary age compliance requirements.
Age verification workflow
The Age Estimation tool assesses whether users meet minimum age criteria through a real-time selfie or an uploaded document photo.
The Age Estimation tool assesses whether users meet minimum age criteria through a real-time selfie
This approach is particularly beneficial for sectors such as iGaming and finance, where age compliance is crucial. Platforms demanding age confirmation for restricted content can now implement this method without necessitating government-issued ID uploads. Instead, age determination is executed using biometric facial analysis.
API documentation and flexibility
The Age Estimation feature operates with its own standalone permission structure, billing, and API endpoints, ensuring that partners needing only age checks do not have to incorporate the full identity verification suite. This setup enables users to access session lists, generate tokens, and manage sessions from a unified interface, augmented by custom settings and encoded verification links.
Businesses activating the age estimation flow can configure specific age limits according to their needs. The tool can accurately estimate age within a three-year margin, streamlining the verification process. Users clearly above the set age limit can pass with just a selfie, while those near the limit automatically trigger a document check within the session for additional verification.
Ensuring accurate age verification
Businesses activating the age estimation flow can configure specific age limits according to their needs
iDenfy acknowledges that verifying the 18 to 24 age group presents challenges, as young adults often appear less age-distinct due to various factors.
Domantas Ciulde, CEO of iDenfy, noted a trend among their partners in regulated markets: "Age estimation works effectively when users can monitor session details. We've refined our product to counter disguises like makeup or facial hair to enhance age estimation accuracy." This ensures reduction in underage access to restricted services and limits personal data collection, adhering to laws such as the UK Online Safety Act, EU Digital Services Act, and GDPR.
Streamlining compliance processes
With age estimates and document verification options running concurrently in a single session, compliance reviews become more efficient.
"Centralising session creation and results in one dashboard may appear minor, but it eliminates substantial manual tracking previously needed outside our system lines," said Domantas Ciulde. The Age Estimation module is currently accessible to iDenfy partners, offering API or dashboard integration with continuous support from iDenfy’s team for seamless setup.
iDenfy, the global identity verification, compliance, and fraud prevention business, announced the launch of its Age Estimation tool integrated into its onboarding software dashboard.
This new Age Verification upgrade gives the ability to create, manage, and review age verification sessions on their own, separately from iDenfy’s standard identity verification flow metrics, while still relying on the same level of security. That means iDenfy’s users will now be able to choose an alternative, non-document-based Age Estimation workflow, designed to convert more users while still complying with age check requirements.
Age verification workflow
Age Estimation is a process that determines whether a user meets a minimum age requirement using a real-time selfie or via an uploaded document with the picture, if that requires a compliance policy, such as iGaming or financial industries.
It is also commonly used by platforms that must confirm age eligibility before granting access to certain products or content. Previously, iDenfy’s platform offered an age verification workflow that required the end-user to upload a photo of their government-issued ID document. Now, with the new add-on of Age Estimation, this step can be removed, and the user can only be asked to capture their selfie biometrics. The system then determines the person’s age based on their facial features.
Official API documentation
Rather than treating age estimation as a feature bundled inside a broader onboarding flow, iDenfy has built it out with its own permission structure, billing model, and API endpoints, so its partners that only need Age Estimation checks are not required to adopt the full identity verification stack to access it.
As a result, iDenfy’s users can view a full sessions list, generate tokens, and open a detailed session page from a single, centralised view, all supported by their own custom settings, fully encoded verification URLs, and official API documentation.
Configurable age limit
When a business enables the age estimation flow, the end user is asked to capture a live selfie, which is compared against a configurable age limit and buffer zone set by the business. It is worth mentioning that iDenfy’s age estimation tool can estimate people’s age within 3 years of gap accuracy, and control the age limit businesses want to provide access to their products.
Users who are clearly above the age threshold pass in seconds using only a selfie. On the other hand, users whose estimated age falls near the legal limit are automatically routed to a certified ID document check within the same session, where the date of birth on the document, not the model’s estimate and make the final decision.
Personal data businesses
iDenfy claims that most young adults who are over 25 are considered easily verifiable. However, many companies have a hard time differentiating 18 to 24 age category. These users often still look young, and their facial features can be shaped by genetics or other external factors that potentially can mislead their verification systems.
According to Domantas Ciulde, the CEO of iDenfy, the update reflects a broader pattern the company has noticed among its partners that operate in age-restricted and regulated markets: “Age estimation only works if the people using it can actually see what’s happening inside each session. We improved our product against disguises such as makeup or a moustache to precisely estimate people’s age and brought it into the dashboard with its own sessions list and detail view,” commented Domantas Ciulde.
Validated age data reduces the risk of underage access to restricted products, platforms, and content, while limiting how much of the personal data businesses need to collect in the process. Because most users pass on a selfie alone, companies avoid asking their entire user base to submit a government ID just to prove they are old enough. This supports compliance with regulations such as the UK Online Safety Act, the EU Digital Services Act’s age assurance guidance, and GDPR’s data minimisation principle, as well as emerging state-level age verification laws in the United States and Australia’s under-16 social media restrictions.
Centralising session creation
Because the estimate and the document fallback now run inside the same session and the same dashboard, review and audit work move faster too. Compliance teams can see what was checked without needing to reconcile records across separate tools.
“Centralising session creation and results in one dashboard view might sound like a small operational detail, but for partners that run age checks at scale, it removes a lot of manual tracking that used to happen outside our platform,” added Domantas Ciulde, the CEO of iDenfy.
The Age Estimation dashboard module is available now to iDenfy partners, who can integrate through API or Dashboard, with 24/7 support available from iDenfy’s team to guarantee a smooth setup without any additional coding.
