Compare the Top Deepfake Detection Software for Windows as of November 2024

What is Deepfake Detection Software for Windows?

Deepfake detection software is an advanced technology that enables users to detect and analyze deepfake images, videos, and other AI-generated content. It leverages sophisticated machine learning models to identify manipulations of original media content. This software can detect subtle changes in facial expressions, voice patterns, and other visual elements such as blurriness or color discrepancies. It also employs image-processing techniques such as pixel analysis to discover when parts of a video have been tampered with. Deepfake detection software is becoming increasingly important for ensuring the authenticity of digital media content. Compare and read user reviews of the best Deepfake Detection software for Windows currently available using the table below. This list is updated regularly.

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    Sumsub

    Sumsub

    Sumsub

    Sumsub is a full-cycle verification platform that’s configurable to your needs. Within the KYC solution Sumsub offers ID verification, database validation, biometric authentication, address and non-doc verification, and AML screening. Sumsub uses its own Liveness and Deepfake detection technology to eliminate deepfakes and fake identities. With Sumsub AI-driven protection and customizable KYC, KYB, AML, Transaction Monitoring and Fraud Prevention solutions you can orchestrate your verification process, welcome more customers worldwide, meet compliance requirements, reduce costs and protect your business from fraud. Sumsub achieves the highest conversion rates in the industry—91.64% in the US, 95.86% in the UK, and 97.89% in Hong Kong—while verifying users in less than 50 seconds on average. Sumsub’s methodology follows FATF recommendations, the international standard for AML/CTF rules and local regulatory requirements (FINMA, FCA, CySEC, MAS, BaFin).
    Starting Price: $1.35 per verification
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  • 2
    IDLive Face Plus
    IDLive Face Plus complements IDLive Face presentation attack detection with injection attack detection, providing comprehensive protection from deepfakes and other types of fraudulent digital imagery. Detect injection attacks that use virtual and external cameras. Prevent browser JavaScript code modifications on both desktops and mobile devices. Prevent man-in-the-middle replay attacks. Protect from emulators, cloning apps, and other software used for fraud. Improve presentation attack detection performance. Facial recognition security relies on presentation attack detection (PAD) to ensure that a biometric selfie is not actually a fraudster presenting a non-live facial image to the camera, such as a printed copy, screen replay, or 3D mask. IDLive Face Plus combines award-winning presentation attack detection with a unique approach to injection attack detection to prevent deepfakes and other fraudulent digital content.
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