List of the Top 8 Free Deepfake Detection Software in 2026

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.

Resemble AI is a multimodal generative AI security platform that enables organizations to generate, verify, and detect synthetic media across audio, image, and video formats. The platform is designed to address the growing risks associated with deepfakes, AI-generated impersonation, and synthetic media fraud. Resemble AI combines advanced deepfake detection, voice AI generation, watermarking, and media verification technologies into one unified security ecosystem. Users can upload media files and receive detailed detection analysis that explains why content may be identified as manipulated or authentic. The platform’s voice synthesis and cloning capabilities include built-in watermarking at the point of creation, helping organizations maintain provenance and authenticity before media leaves their infrastructure. Resemble AI also provides invisible and permanent watermarking technology that remains attached to audio, image, and video files across distribution channels. Its deepfake detection models are designed to identify synthetic content generated by more than 160 AI models while supporting multiple media formats including WAV, MP3, FLAC, M4A, WEBM, and OGG. Organizations can deploy the platform in cloud or on-premises environments to meet enterprise security, compliance, and infrastructure requirements. Resemble AI supports use cases such as executive impersonation prevention, identity verification, KYC workflows, dispute validation, voice agent protection, and media authentication. The platform includes specialized products like Chatterbox Turbo, DramaBox, Resemble Detect, Resemble Identity, and Resemble Watermarker to support AI voice generation and deepfake security operations. Resemble AI also publishes threat intelligence resources and deepfake incident research to help businesses stay informed about evolving synthetic media threats.

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.

SWEAR operates as a platform dedicated to securing and authenticating audio and video content in real-time from the moment of capture. It creates a distinct "Digital DNA" for each frame, pixel, and audio segment during the recording, with the associated metadata safely recorded on a separate, unchangeable blockchain ledger, allowing any modifications to be easily detected later on. Users can verify the footage's authenticity by contrasting its current state with the original verified version, thus providing immediate evidence of its legitimacy when necessary. This platform is meticulously designed to safeguard sensitive uses, including legal documentation, surveillance operations, public safety initiatives, and corporate protection, which helps maintain a trustworthy chain of custody while retaining media integrity, whether being transmitted or stored. Furthermore, SWEAR’s security system integrates effortlessly with a variety of recording devices and cameras, and it includes a mobile application for greater convenience. The technology also delivers extensive metadata tracking, which covers aspects such as frame rate, resolution, and even detailed pixel information, assuring strong, immutable provenance and security protocols throughout the media's lifecycle. By adopting this comprehensive strategy, the platform not only bolsters confidence in the authenticity of media but also equips users with the tools necessary to leverage this technology in numerous critical situations. As a result, SWEAR stands out in the realm of media security and authenticity, paving the way for enhanced accountability in digital content management.

ToxMod™ distinguishes itself as the sole all-encompassing voice moderation solution on a global scale. Unlike traditional voice moderation systems that focus mainly on the small percentage of users—around 8%—who report issues, ToxMod excels by autonomously detecting all significant harmful conduct on your platform, which allows your team to take timely action and retain valuable players who might otherwise leave due to adverse experiences. This innovative tool is crafted to understand the complex nuances of voice interactions, going beyond simple transcription to evaluate emotions, speech dynamics, and audience feedback, among other elements. ToxMod rapidly familiarizes itself with your game's guidelines, ensuring that the most pressing concerns are prioritized for effective resolution. User information is meticulously anonymized and protected in line with ISO 27001 standards, with Modulate unwaveringly pledging never to sell or rent your data under any circumstances. Furthermore, ToxMod boasts a range of plugins that are compatible with various game engines and voice systems, facilitating seamless integration within 24 hours. By employing sophisticated machine learning methodologies, ToxMod is skilled at recognizing when discussions begin to stray off track, thereby fostering a safer atmosphere for all players involved. Ultimately, ToxMod embodies an innovative strategy for voice moderation that safeguards both the integrity of your platform and the well-being of your community, while also enhancing player engagement and satisfaction. Its commitment to continuous improvement ensures that the moderation process evolves alongside the ever-changing landscape of online gaming.