Published Date : 10/17/2025Â
Texas-based deepfake detection provider Moveris has introduced a developer portal for access to its video deepfake scanning technology through its MoverisMedia API. This new tool allows developers to upload or submit a link to a recorded video, which is then analyzed for physiological signals to verify human liveness. The results are displayed in real-time on an intuitive dashboard, making it easy for developers to integrate and use the technology.
The physiological signals analyzed by Moveris are distinct from the basic biometrics or scripted user interactions typically used in liveness detection methods. These signals are based on patterns uncovered in psychophysiological research, which Moveris claims cannot be replicated by AI. This makes their technology future-proof against the evolving landscape of deepfake and generative AI technologies.
Moveris' website highlights emotion analysis among its tools and also offers face biometric liveness detection. The company emphasizes that its technology is suitable for integration with Know Your Customer (KYC) and Anti-Money Laundering (AML) checks, enhancing the security and reliability of these processes.
Dr. Justin Keene, CEO of Moveris, stated, “This is a major advancement in combating the global rise in deepfake video fraud. We see an immediate need for fast and accurate human liveness verification in the financial sector, but the Moveris solution can be used to solve deepfake video fraud problems in any number of industries.”
Paul Kingsley Smith, CCO at Qualzy, a global online research platform and early adopter of MoverisMedia, added, “This type of data has been successfully collected in laboratory settings for decades, but we’ve never seen anything that captures these signals online at scale. It’s the most efficient method to verify users are human before onboarding. Across industries, this technology could prevent billions in fraud annually.”
Moveris is offering its video deepfake detection technology to developers with 50 complimentary tokens to facilitate prototyping. This initiative aims to encourage developers to explore the potential of MoverisMedia and integrate it into their projects.
The 2025 Deepfake Detection Market Report and Buyers Guide, published by Biometric Update and Goode Intelligence, forecasts that the deepfake detection market will generate nearly $5 billion in revenue by 2027. This rapid growth underscores the increasing demand for robust deepfake detection solutions.
Moveris' innovative approach to deepfake detection using psychophysiological signals represents a significant step forward in the fight against deepfake video fraud. By providing developers with a powerful and accessible API, Moveris is empowering businesses across various sectors to enhance their security and protect against the growing threat of deepfakes.Â
Q: What is MoverisMedia API?
A: MoverisMedia API is a developer tool provided by Moveris for deepfake detection. It allows developers to upload or submit a link to a recorded video for analysis of physiological signals to verify human liveness.
Q: How does MoverisMedia API work?
A: MoverisMedia API analyzes psychophysiological signals in videos to verify human liveness. These signals are based on patterns uncovered in psychophysiological research and cannot be replicated by AI, making the technology highly effective.
Q: What are the benefits of using MoverisMedia API?
A: The benefits include real-time results, intuitive dashboard, and suitability for integration with KYC and AML checks. It also helps prevent deepfake video fraud and enhances security across various industries.
Q: Is MoverisMedia API suitable for all industries?
A: Yes, MoverisMedia API can be used in any industry that requires fast and accurate human liveness verification, including finance, healthcare, and online platforms.
Q: How can developers get started with MoverisMedia API?
A: Developers can start by accessing the Moveris developer portal and using the 50 complimentary tokens provided to prototype and integrate MoverisMedia API into their projects.Â