List of the Top 6 Free Deepfake Detection Software in 2025

Oz Liveness stands at the forefront of facial recognition and authentication technology, utilized by both private and public sectors globally to mitigate the threat of biometric fraud. By effectively countering deepfake and spoofing attempts, it safeguards identities with precision. The software employs sophisticated algorithms engineered to identify various types of biometric spoofing, including 3D and 2D masks, as well as images and videos played on devices such as iPads and laptops. Endorsed by the rigorous ISO30107 certification, our technology assures organizations that they can authenticate a genuine individual within moments. This accreditation not only enhances security but also significantly reduces compliance and fraud risks for users. Furthermore, the continued evolution of our capabilities ensures that we stay ahead of emerging threats in the biometric landscape.

CounterSocial is committed to effectively addressing misinformation and propaganda. As the only platform that leverages artificial intelligence to quickly assess uploaded content for potential deepfakes, we prioritize the integrity of our network. By partnering with Botsentinel, we bolster user defenses against foreign influence operations, contributing to a more secure online space. Moreover, our optional browser extension alerts users to potentially harmful accounts, adding another layer of transparency. To protect personal data, we offer automatic identity theft alerts that can be activated with a single click. Our COSOGuard feature continuously scans both the open and dark web, ensuring that users are quickly informed if their personal information is at risk due to a breach. Furthermore, our collaboration with Factlayer enables us to provide real-time evaluations of political bias and identify fake news via color-coded links, helping users gauge a website's reliability before proceeding. This holistic strategy not only strengthens user knowledge but also cultivates a more educated and aware community in the digital landscape. Ultimately, CounterSocial strives to create a safer online environment where users can navigate with confidence and security.

DeepfakeProof is a groundbreaking and complimentary browser extension designed to harness advanced technology for the detection of deepfakes, with the goal of reducing the spread of altered images online. This cutting-edge tool functions by real-time scanning of every webpage you visit, providing reliable alerts when it identifies any deepfake or edited visuals. Users of DeepfakeProof can browse with peace of mind, knowing they are shielded from the misleading consequences of deepfake technology. Its consistent notifications and accurate detection capabilities enhance the overall safety of the online environment for all users. By leveraging sophisticated AI-driven detection techniques, DeepfakeProof effectively examines images on accessed pages and swiftly informs users about any identified manipulated content. Whether it’s celebrity impersonations or images created by deepfake software, this extension works diligently to protect users from the spread of deceptive and potentially dangerous deepfakes on the internet, significantly enhancing the safety of your browsing activities. In addition, DeepfakeProof fosters a sense of empowerment in users, equipping them with essential resources to confidently navigate the complexities of the digital world. Furthermore, as the prevalence of deepfakes grows, having such a tool becomes increasingly vital for maintaining authenticity and truth in online media.

An innovative platform equipped with state-of-the-art techniques for identifying deepfakes is now accessible for public use. Users have the capability to upload one video file from their computer at a time. Deepfakes refer to AI-generated altered media that can create deceptive portrayals of individuals and their behaviors, which can lead to serious consequences if exploited. The DeepFake-o-meter, developed by the UB Media Forensics Lab, is an open-source solution aimed at detecting deepfake technologies produced by external sources. It provides an intuitive service that analyzes deepfake content utilizing various sophisticated detection methods, ensuring that results are generated securely and confidentially. In addition, it includes an API framework that allows developers to incorporate their deepfake detection algorithms and run them on a remote server. This platform not only supports developers but also acts as a crucial resource for researchers in the field of digital media forensics, allowing them to evaluate and compare the effectiveness of different detection algorithms. By fostering collaboration and innovation, this comprehensive approach significantly strengthens efforts against the irresponsible use of deepfake technology. As a result, it contributes to a safer digital environment where misinformation can be effectively challenged.

The emergence of online misinformation and fake media poses a substantial threat to democracy, the economy, and society at large. The challenge of verifying vast amounts of content in nearly real-time is daunting, even for experienced journalists, fact-checkers, human rights defenders, and experts in media literacy. In response to this pressing concern, the WeVerify initiative aims to develop cutting-edge tools and methodologies for intelligent human-in-the-loop verification and disinformation assessment. By scrutinizing social media platforms and web content within the broader context of the online environment, this project seeks to expose falsehoods through strategies such as cross-modal content verification, social network analysis, targeted debunking efforts, and the establishment of a blockchain-based public repository to catalog known fabrications. This comprehensive strategy not only boosts the reliability of information but also equips individuals and organizations with the means to effectively tackle misinformation, fostering a more informed public. Ultimately, the initiative represents a crucial step forward in the fight against the erosion of truth in the digital age.

Verify the authenticity of images and audio for your personal and professional requirements by leveraging AI or Not. This solution enables you to quickly assess generative AI content, thus reducing the potential for fraud and countering the latest scams. It is particularly vital in safeguarding music copyrights by identifying whether an artist's voice has been incorporated into AI-generated audio. Enhance your trust and safety measures with robust AI content detection capabilities, allowing for precise identification of deepfakes with a notable degree of transparency. Additionally, it aids in ensuring identity verification and compliance with KYC regulations by mitigating the threats posed by AI-generated synthetic identities. AI or Not is a user-friendly web-based service crafted to assist individuals in determining whether an image has been artificially generated or produced by a human. When an image is found to be AI-generated, our system identifies the specific AI model that created it. For users needing comprehensive image analysis, we offer the AI or Not API, which allows for bulk image evaluations and seamless integration with existing systems. While individual image analyses are available at no cost, we also provide a premium API service designed for larger-scale assessments or commercial use. Our dedication to user-friendliness guarantees that both casual users and businesses can effectively take advantage of our services, making the process of verifying content both accessible and efficient. In today's digital landscape, ensuring the authenticity of your media is more important than ever.