Today’s fraudsters are using advanced tools to bypass identity checks. Traditional verification is not reliable to stop attackers. The Liveness check API uses advanced facial recognition technology to verify whether the customer is present live or using a spoofed source, such as a photograph, video replay, deepfake, or mask. It helps organisations prevent synthetic identity fraud and impersonation. The automated verification speeds up the onboarding. It offers bulk verification support and is suitable for scalable verification needs.

How Does the Liveness Detection API Work?

• Input: A live photo or selfie.
• Analyse: API will analyse facial data points and micro movements.
• Output: Get instant result (Spoof or Real) with confidence scoring.

Key Features

• Real-Time Verification: The API provides results within seconds and increases the efficiency of the verification process.
• Advanced Spoof Detection: The advanced face liveness detection technology identifies fraudulent attempts such as photos, recorded videos, masks, or deepfake images.
• High Accuracy: It uses facial recognition technology that ensures accuracy in verification and reduces false results.
• Smooth API Integration: It easily integrates into the existing system of business without a complex technical process.

Use Cases

• Digital KYC and Customer Onboarding: The API confirms that a genuine user is present during the remote verification processes. It prevents fraudsters from creating fake accounts using photos or videos.
• Banking, Fintech, and Payment Platforms: Banks and fintech can use this API to secure account opening, transactions, and authentication. Liveness verification helps stop unauthorised access and financial fraud.
• Insurance and Online Lending Services: Reduce impersonation and fraudulent applications during policy issuance and loan approvals.
• Employee and User Verification: Liveness detection confirms that only authorised employees and users can access systems.