Best Deepfake Detection Software for Linux of 2026

Sumsub is a comprehensive verification platform designed to adapt to your specific requirements. Its KYC solution encompasses various features, including identity verification, database checks, biometric authentication, address verification, and anti-money laundering (AML) screening. The platform employs its proprietary Liveness and Deepfake detection technology to combat fraudulent identities. With Sumsub’s AI-powered safeguards and flexible solutions for KYC, KYB, AML, Transaction Monitoring, and Fraud Prevention, you can streamline your verification processes, expand your customer base globally, comply with regulatory standards, cut costs, and safeguard your business against fraudulent activities. Sumsub boasts impressive industry-leading conversion rates—91.64% in the US, 95.86% in the UK, and 97.89% in Hong Kong—while completing user verifications in an average of under 50 seconds. The company’s approach adheres to the Financial Action Task Force (FATF) guidelines, which set the global benchmarks for AML/CTF regulations, as well as local compliance obligations, including those from FINMA, FCA, CySEC, MAS, and BaFin.

Oz Liveness is a world-leading facial recognition and authentication software that is used by private and public organizations around the world to reduce the risk of biometric fraud. It prevents deepfake attacks and spoofing attacks. Oz Liveness uses advanced algorithms to detect many forms of biometric spoofing. This includes 3D and 2D masks, photos and videos displayed on iPads or laptops, and photos and videos. Our technology has been approved by the industry's most stringent testing standard, ISO30107 certification. This certification helps organizations verify that they are dealing with a real person within seconds. It also lowers compliance risk and fraud risk.

Paravision provides AI-driven identity technologies that help organizations verify individuals and prevent fraud. Its offerings include facial recognition, liveness verification, deepfake detection, and age estimation, which can be deployed across a range of environments and use cases. The company has demonstrated strong results in independent benchmarks such as NIST and DHS evaluations, supporting its use in high-volume identity and access systems. With customers spanning sectors like financial services, travel, security, and digital identity, Paravision delivers adaptable AI solutions designed to integrate seamlessly into existing workflows and improve the reliability of identity authentication.

DuckDuckGoose is an advanced deepfake detection platform designed to help organizations identify and prevent AI-generated or manipulated media from entering critical systems. The platform analyzes images, videos, audio recordings, and identity documents to detect signs of synthetic or altered content. It is built specifically for identity verification, compliance, fraud prevention, and digital risk management teams. DuckDuckGoose integrates easily into existing workflows through flexible APIs and SDKs that deliver near-instant detection results. The system provides explainable outputs, including visual traces and detailed logs that support compliance audits and forensic investigations. Its AI models are trained on diverse datasets to detect sophisticated deepfakes while maintaining extremely low false-positive rates. The platform supports multiple deployment environments, including cloud, on-premise, and hybrid infrastructures. DuckDuckGoose offers specialized tools such as Phocus for multimedia detection, Waver for audio deepfake analysis, and DeepDetector for image and video verification. These tools help organizations secure onboarding flows, prevent identity fraud, and detect manipulated media at scale. By combining high accuracy, fast detection speeds, and transparent reporting, DuckDuckGoose helps enterprises make reliable decisions in environments where digital authenticity is critical.