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Achieve High-Accuracy 1:1 Face Match with Didit's Native SDKs

Blog post from Didit

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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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Post Details
Company
Date Published
Author
Didit
Word Count
964
Company Posts That Month
Language
English
Hacker News Points
-
Post removed?
No
Summary

Didit's AI-native platform offers a sophisticated identity verification solution by integrating high-accuracy 1:1 Face Match technology through its Native SDKs for iOS, Android, React Native, and Flutter, optimizing the use of device capabilities like cameras and NFC for seamless user experience and security. This technology combats identity fraud by comparing a live facial image with a reference image from an ID document to ensure the document's legitimate owner is present, supported by configurable verification workflows that allow businesses to tailor risk management through adjustable review and decline thresholds. Enhanced by Passive & Active Liveness detection to verify the presence of a real person, Didit’s platform empowers businesses to build comprehensive KYC and KYB processes with modular orchestration, combining Face Match with ID Verification, AML Screening, and Proof of Address. Offering a Free Core KYC service with no setup fees, Didit makes advanced biometric security accessible and scalable, providing detailed reports with actionable insights to balance security and user experience.

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