Best Free Deepfake Detection Software of 2024

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.

CounterSocial is committed to fighting fake news and propagandism. We are the only network that uses AI to automatically analyze uploaded content in real-time to determine deepfake probabilities. Botsentinel has joined our ranks to protect our users against foreign influence operations. Optional browser extensions provide visibility to potential 'problematic" migrating accounts. CounterSocial integrates automatic and one-click-on demand identity theft alerts. COSOGuard monitors the dark and open web 24 hours a day. You'll be notified if your identity is compromised. We have also teamed up to Factlayer to integrate realtime automatic political bias leaning, fake news awareness, and color coded links that allow you to know the veracity of a site before you click through.

DeepfakeProof, a free extension for the Chrome browser, uses advanced deepfake detection technologies to stop the spread of deepfake manipulated images online. This cutting-edge software scans every webpage you visit and provides accurate alerts when it detects deepfake images or manipulated images. DeepfakeProof will protect you from the false impressions that deepfake technology can create. DeepfakeProof provides users with a more secure and safe online experience through its reliable alerts and accurate detection capabilities. DeepfakeProof's AI-powered deepfake-detection technology scans each image on every web page you visit, and alerts you instantly if any fake or manipulated media are found. Our plug-in detects deepfakes, whether they are created by deepfake software or celebrities. It helps protect users from the spread of harmful and misleading deepfakes on the internet.

An open platform integrating state-of-the-art deepfake detection methods. You can upload videos from your computer. Please note that you should only upload one video at a time. Deepfakes are AI-generated fake media. By creating the illusion of a person's presence or activities that didn't happen in reality, deepfakes have the potential to cause real harm if they are weaponized. DeepFake -o-meter, an open-source and user-friendly platform developed by UB Media Forensics Lab, is designed to detect third-party algorithms that are deepfake. It provides users with a convenient way to analyze deepfake content using multiple state-of the-art detection algorithms. The analysis results are delivered securely and privately. It provides an API architecture for developers of deepfake algorithms to wrap individual algorithms on a remote computer and run them. For researchers of digital media forensics, it is an evaluation/benchmarking platform to compare the performance of multiple algorithms.

Online disinformation and fake content has emerged as a serious danger to democracy, the economy and society. Even for experienced journalists, fact checkers, human right activists, or media literacy scholars, content verification at scale and near real-time can be a challenge. WeVerify aims to develop intelligent content verification and disinformation analyses methods and tools that involve a human in the loop. Social media and web-based content will be analyzed, contextualized, and contextualized in the context of a broader online ecosystem to expose fabricated material. This will be done through cross-modal content validation, social network analysis and micro-targeted disinformation, as well as a blockchain-based database of known fakes.