1:1 Face Match API: Secure Identity Verification in Bolivia

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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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As digital transactions and online services expand in Bolivia, businesses and public agencies face increased identity fraud, financial crime, and compliance risks that traditional verification methods may not adequately address. A 1:1 Face Match API compares a real-time user selfie with the photo on an official identity document to assess whether they belong to the same person, supporting applications in banking, fintech, e-commerce, government services, and gaming, including account opening, high-value transactions, fraud prevention, and age-related controls. Effective implementation depends on accuracy, privacy and security compliance, a smooth user experience, and manageable system integration. Didit presents its modular Face Match API as a developer-oriented solution that maps facial features through neural networks and can be combined with ID verification, liveness detection, and AML screening tools, while claiming 99.9% accuracy and a false-acceptance rate below 0.1%.

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