VerifyLabs.AI, a UK-based AI detection company founded in 2025, has launched its Android app, making its Deepfake Detector available across both major mobile operating systems (Android and iOS).
The Android release allows users to analyse images, audio, and video signs of AI-generated content from their mobile devices. The company is also now developing desktop applications for Mac and Windows, with plugins already available for enterprise users on Zoom and Microsoft Teams.
The Deepfake Detector can analyse content uploaded and then provide results using a five-band scale ranging from green (Human-Made) to red (Machine-Made). The app tools include:
- Detecting AI-generated images, audio, and videos.
- A five-band verdict system that provides users with easy-to-understand results.
- Image detection tested tools to point out DALL-E 3, Flux, Ideogram, Midjourney and Stable Diffusion XL use.
- Audio detection capabilities which are reported to be 98% accurate
- Availability through Android and iOS mobile applications, as well as a Chrome extension.
- Bespoke enterprise API available for organisations that need deeper integration
- Subscriptions that start at £6.99 per month or £69.99 annually.
The launch has arrived while discussion has grown around the use of synthetic media and deep-fake technology. Many recent examples of AI-generated audio and imagery have been used in political campaigns, most recently audio robocalls impersonating President Biden during the 2024 US election, and AI-generated imagery influenced voter perception in Poland and Ireland in 2025. Organisations and individuals have tried to explore more tools designed to help identify AI-generated or manipulated content.
Nick Knupffer, CEO of VerifyLabs.AI, said: “We’ve reached a point where you can’t trust what you see or hear anymore. Deepfakes have stolen something fundamental from us. VerifyLabs.AI exists to give it back. When you know what’s real, you can believe it again, and that changes everything, from how we consume news to how we make decisions that matter.
“Trust isn’t abstract. It’s an insurance investigator who needs to know if a damage photo is real. It’s a compliance officer verifying an identity. It’s a journalist deciding whether to publish it.
