FakeCatcher

Scalable, real-time detection of deepfakes wherever and whenever they strike, for today and for the future. Deepfakes are a threat, unlike anything the world has seen before. They undermine our fundamental trust in society and each other, and they constantly change to evade detection. They are cheap, universal, and are in everybody's hands. They appear in all digital media, video, audio, and images and they can impersonate anyone. Detecting deepfakes requires sophisticated and ongoing research in Al and cyber. The best minds are collaborating with our experts to build the best technology globally. Clarity is an AI cybersecurity startup that protects against deepfakes and new social engineering and phishing attack vectors accelerated by the rapid adoption of generative AI. Its patent-pending technology detects AI manipulations in videos, images, and audio and authenticates media with encrypted watermarking.

An open platform integrating state-of-the-art deepfake detection methods. You can upload a video from your computer, note that should upload only one video each time. Deepfakes refer to AI-synthesized fake media, by creating illusions of an individual's presence and activities that did not occur in reality, deepfakes can cause real harm when they are weaponized. DeepFake-o-meter is an open source and user-friendly online platform developed by the UB Media Forensics Lab to detect third-party deepfake algorithms. For users, it provides a convenient service to analyze deepfake media with multiple state-of-the-art detection algorithms, with secure and private delivery of the analysis result. For developers of deepfake detection algorithms, it provides an API architecture to wrap individual algorithms and run them on a remote machine. For researchers of digital media forensics, it is an evaluation/benchmarking platform to compare the performance of multiple algorithms.