FaceForensics++
A forensics dataset for detecting manipulated facial images and videos.
Protect your business from deepfakes.

Incode Deepsight is an advanced deepfake detection and identity verification solution designed to protect businesses from increasingly sophisticated synthetic media and presentation attacks. Utilizing state-of-the-art passive liveness detection and biometric authentication, Deepsight analyzes facial movements, skin texture, and pixel-level inconsistencies to identify AI-generated manipulations, including deepfakes, face swaps, and digital injections. As fraud tactics evolve, standard authentication methods are no longer sufficient; Deepsight provides a frictionless, real-time security layer that requires no extra effort from the end user. It integrates seamlessly into existing onboarding, KYC (Know Your Customer), and AML (Anti-Money Laundering) workflows, allowing financial institutions, fintechs, healthcare providers, and gig economy platforms to verify user identities with high confidence. By combining robust AI-driven fraud prevention with an intuitive user experience, Incode Deepsight helps organizations mitigate financial risk, ensure regulatory compliance, and maintain trust in their digital ecosystems without compromising on conversion rates or operational efficiency.
Incode Deepsight is an advanced deepfake detection and identity verification solution designed to protect businesses from increasingly sophisticated synthetic media and presentation attacks.
Explore all tools that specialize in deepfake detection. This domain focus ensures Incode Deepsight delivers optimized results for this specific requirement.
Explore all tools that specialize in liveness detection. This domain focus ensures Incode Deepsight delivers optimized results for this specific requirement.
Explore all tools that specialize in identity verification. This domain focus ensures Incode Deepsight delivers optimized results for this specific requirement.
Explore all tools that specialize in biometric authentication. This domain focus ensures Incode Deepsight delivers optimized results for this specific requirement.
Analyzes natural biometric traits without requiring user prompts or actions.
Detects the bypassing of physical device cameras via virtual cameras or software emulators.
Examines pixel blending, lighting inconsistencies, and edge artifacts in real-time.
Analyzes device hardware, OS configuration, and network context during image capture.
Performs initial liveness and deepfake checks locally on the user's device.
Constructs a spatial depth map of the user's face from standard 2D camera inputs.
Periodically verifies the user silently in the background during an active session.
Integrate Web or Mobile SDK
Configure API credentials and webhooks
Customize UX/UI for camera capture
Test deepfake scenarios using sandbox environment
All Set
Ready to go
Verified feedback from other users.
“Highly praised for its seamless, passive user experience and robust fraud detection capabilities. Some smaller businesses note that enterprise-tier pricing is a barrier to entry.”
Post questions, share tips, and help other users.
A forensics dataset for detecting manipulated facial images and videos.

Protect your content with forensic watermarking for provenance, leak protection, and deepfake security.

Science-based biometrics for uncompromising digital identity verification.

Modern API for scalable and adaptable global background and identity screening.

Pindrop provides voice security and authentication solutions to detect fraud and protect against deepfakes in contact centers and meetings.

End-to-end automated identity verification and AML compliance orchestration powered by AI.