Age Estimation API: Ensuring Compliance for Gambling in Brazil
Blog post from Didit
Excluded from normalized aggregate trends after staff review: 3056 posts were attributed to March 2026; 671 shared March 14, 2026. The preceding six-month median was 13.5 posts.
Review evidence: 3,056 posts in March 2026; 671 shared March 14, 2026; preceding six-month median 13.5. Reviewed August 9, 2026.
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Brazil is experiencing a transformation in its gambling industry, marked by new regulations that permit both online and land-based casinos and sports betting, creating opportunities and compliance challenges. A critical component of these regulations is robust age verification to prevent underage access, which is essential for maintaining industry integrity and adhering to legal requirements. Traditional age verification methods, such as manual document checks, often prove slow and intrusive, impairing the user experience and exposing platforms to fraud risks. Didit offers a modern solution with its Age Estimation API, employing AI algorithms to estimate a user's age from images without requiring sensitive personal data, thus ensuring privacy, scalability, and real-time verification. This approach not only enhances user experience but also maintains compliance with Brazilian regulations, while additional features like Passive Liveness Detection improve security against spoofed images. Didit's API integrates seamlessly into existing systems, providing a comprehensive age verification solution that supports responsible gambling practices.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 2 | 6,429 | 1,407 | 265 | -24% |
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