Building Advanced Face Search Workflows with Didit's Web SDK
Blog post from Didit
Didit's Web SDK offers seamless integration of advanced Face Search capabilities, enabling developers to easily incorporate robust identity verification workflows into their web applications. The platform employs 1:N Face Search, which compares a submitted facial image against a database of verified identities, effectively preventing duplicate accounts and enhancing fraud prevention strategies by cross-referencing against blocklists. This AI-native platform allows businesses to customize security settings through configurable similarity thresholds, balancing user experience with specific risk tolerance needs. Didit provides a modular and scalable solution accessible to businesses of all sizes, with no setup fees and a free core KYC tier, making biometric features widely available. Through its developer-first approach, Didit ensures high accuracy and rapid results in identity verification, supporting advanced fraud prevention and regulatory compliance while maintaining flexibility for custom integrations.
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