Overview
VIDA’s Identity Verification solution offers a modular, API-first approach to verifying user identities in a secure, fast, and compliant way. From document verification and OCR to biometric matching and liveness detection, each component is built to meet regulatory standards and deliver a seamless user experience. With support for mobile and web SDKs, businesses can easily integrate identity verification into their apps or web platforms. The table below outlines the key components that can be used individually or combined as part of a complete onboarding or KYC workflow.
Name
Description
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KYC Mobile SDK
A mobile integration package that enables end-to-end KYC verification within your app. It combines document capture, OCR, document verification, passive liveness, and face match into a single guided flow.
KYC Web SDK
A website integration package that enables end-to-end KYC verification within your app. It combines document capture, OCR, document verification, passive liveness, and face match into a single guided flow.
Indonesia Verification
A bundled identity verification flow including document and biometric checks for digital onboarding and regulatory compliance Indonesia with Certificate Issuance.
Biometric Verification
A feature set within the VIDA Verify API that provides secure and accurate identity authentication through two core checks: Image Liveness Verification and Image Face Match Verification.
Liveness
Validates that the user is physically present through facial movement analysis, preventing spoofing via photos or pre-recorded videos.
Document AI
Checks the authenticity of identity documents like KTPs and passports, to detect spoofing and ensure regulatory compliance.
└── OCR
Extracts data from Indonesian KTP cards using OCR. Ensures accurate digitization of personal information for identity verification.
└── OCR & Document Verification V1
Combines OCR with AI-based document authenticity checks to detect tampering or spoofing and validate document legitimacy.
└── OCR & Document Verification V2
Combines OCR with AI-based document authenticity checks to detect tampering or spoofing and validate document legitimacy with a different in response or error response.
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