didit-passive-liveness

You can verify user presence by sending a single image to the Passive Liveness API. It analyzes the image to determine if a real person is present and returns a liveness score, face quality, and luminance metrics for identity verification.

Yes, passive liveness detection is specifically designed for non-interactive onboarding flows. It assesses user presence from a single image without requiring active user interaction, making it suitable for KYC and high-security authentication.

Single-image liveness detection prevents spoofing by analyzing one image to detect prints, screens, and masks. It identifies spoofing attempts and duplicates across sessions to improve security in identity workflows.

Yes, the API integration supports configurable thresholds for liveness assessment. It returns face quality and luminance metrics alongside the liveness score, allowing you to adjust security parameters for your specific anti-spoofing needs.

You need the requests library to handle API integration with x-api-key authentication. The API requires a multipart/form-data image upload to process the single image and return the anti-spoofing liveness analysis.

Using a passive liveness API is an effective way to detect duplicates across sessions during KYC onboarding. By analyzing a single image, it identifies duplicate submissions and spoofing attempts while providing a liveness score.