Best Free Deepfake Detection Software of 2025

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 dedicated to combating misinformation and propaganda effectively. As the sole network utilizing artificial intelligence to instantly evaluate uploaded materials for the likelihood of deepfakes, we are committed to maintaining a trustworthy platform. Our collaboration with Botsentinel enhances user protection against foreign influence campaigns, ensuring a safer online environment. Additionally, users can opt for a browser extension that provides transparency regarding potentially problematic accounts that may arise. To further safeguard personal information, CounterSocial has implemented automatic identity theft alerts that are available with just one click. Our COSOGuard feature tirelessly monitors both the open and dark web around the clock. If your personal information is compromised in a breach, you will be promptly notified! Moreover, our partnership with Factlayer allows us to offer real-time, inline assessments of political bias and fake news recognition through color-coded links, informing users of a website's credibility before they navigate away. This comprehensive approach not only empowers our users but also fosters a more informed community.

DeepfakeProof is an innovative and free browser extension that employs sophisticated technology to detect deepfakes, aiming to curb the dissemination of altered images across the internet. This state-of-the-art tool operates by scanning each webpage you access in real-time, delivering trustworthy notifications upon identifying any deepfake or manipulated visuals. With DeepfakeProof, users can feel confident knowing they are safeguarded from the deceptive effects of deepfake technology. Its dependable alerts and precise detection features contribute to a more secure online experience for everyone. Utilizing advanced AI-driven detection methods, DeepfakeProof efficiently analyzes all images on visited web pages, promptly notifying users if any manipulated content is detected. From celebrity impersonations to those generated by deepfake software, this extension ensures users are protected against the proliferation of misleading and potentially harmful deepfakes on the web, making your browsing experience safer than ever. Ultimately, DeepfakeProof empowers users with the tools needed to navigate the digital landscape with greater assurance.

An accessible platform that incorporates cutting-edge methods for detecting deepfakes is available for use. Users can upload a single video file from their computer at a time. Deepfakes, which are AI-generated fabricated media, can create misleading representations of individuals and their actions, posing significant risks when misused. The DeepFake-o-meter, created by the UB Media Forensics Lab, is an open-source tool designed to identify deepfake technologies created by third parties. It offers a user-friendly service that allows for the analysis of deepfake content using various advanced detection techniques, ensuring that results are delivered securely and privately. Additionally, it features an API framework that enables developers to integrate their deepfake detection algorithms and execute them on a remote server. Furthermore, it serves as a valuable resource for researchers in digital media forensics, providing a platform for assessing and benchmarking the effectiveness of different detection algorithms against one another. This multifaceted approach ultimately enhances the fight against the misuse of deepfake technology.

The rise of online disinformation and counterfeit media has become a significant danger to democracy, the economy, and society as a whole. Verifying content on a large scale and in near real-time presents considerable challenges, even for seasoned journalists, fact-checkers, human rights advocates, and scholars specializing in media literacy. To address this issue, the WeVerify initiative seeks to create advanced methods and tools for intelligent human-in-the-loop content verification and disinformation analysis. By analyzing social media and web content within the context of the broader online landscape, the project aims to unveil false information through techniques such as cross-modal content verification, social network analysis, targeted debunking strategies, and a blockchain-based public repository for documenting known fabrications. This multifaceted approach not only enhances the accuracy of information but also empowers individuals and organizations to combat misinformation effectively.

Utilize AI or Not to quickly identify whether images or audio are generated by artificial intelligence, protecting both your business and personal interests. In mere seconds, you can detect generative AI, thereby minimizing fraud and thwarting the latest scams. Additionally, safeguard music copyrights by determining if an artist's voice has been incorporated into AI-generated audio content. Equip your trust and safety teams with advanced AI content detection capabilities, ensuring precise identification of deepfakes with transparency. Furthermore, bolster identity verification and KYC compliance by protecting against the risks posed by AI-generated synthetic IDs. AI or Not serves as a web platform designed to assist users in swiftly and accurately discerning whether an image originates from AI or human creation, and if the former, it pinpoints the specific AI model utilized. For those needing to analyze multiple images, we provide an API that facilitates bulk analysis and easy integration into existing platforms. While our service allows free analysis for individual images, we also offer a premium API for extensive image assessments and commercial applications. In this rapidly evolving digital landscape, staying informed about the authenticity of content is more crucial than ever.

SWEAR functions as a security and content-authenticity platform that ensures the verification and protection of audio and video media in real-time from the moment they are captured. It generates a unique "Digital DNA" for each individual frame, pixel, and audio clip during the recording process, with this metadata being securely stored on an independent, immutable blockchain ledger, which facilitates the detection of any future alterations. Users are able to confirm the integrity of footage by comparing its current form against the original authenticated version, providing instant proof of authenticity when needed. The platform is specifically engineered to protect sensitive applications, such as legal evidence, surveillance, public safety, and corporate security, thereby ensuring a reliable chain of custody while preserving the integrity of media whether in transit or storage. SWEAR’s security framework seamlessly integrates with various recording devices and cameras, and it also features a mobile application for added convenience. Additionally, the technology offers comprehensive metadata tracking, which encompasses frame rate, resolution, and even intricate pixel-level details, ensuring robust immutable provenance and security measures throughout the media lifecycle. This multifaceted approach not only enhances trust in media authenticity but also empowers users to confidently utilize the technology across a wide range of critical scenarios.