Deepfake Detector

As deepfake technology has become increasingly accessible to bad actors, the ability to verify the authenticity of media has become a critical need for individuals, journalists, businesses, and security teams.

Deepfake Detector addresses this need with a purpose-built analysis engine that examines subtle anomalies invisible to the human eye and ear.

The platform achieves what it describes as the highest detection accuracy in the market for identifying AI-generated audio and voice clone content. It analyzes recordings against signatures from different voice clone model families, detecting synthetic voices regardless of which AI tool was used to create them.

This breadth of detection coverage is particularly valuable as voice cloning tools proliferate a detector optimized for only one type of synthetic voice would miss the majority of real-world attacks.

Deepfake Detector is available as a convenient browser extension, providing on-demand probability analysis for any audio, image, or video content encountered while browsing the web. Users receive a clear probability score indicating the likelihood that content was AI-generated or manipulated.

The extension works across media types, making it practical for fact-checkers, journalists, and everyday users who want real-time verification as they consume online content.

For file-based analysis, users can upload audio and video files in any format for deeper offline examination. The platform also includes a built-in background noise remover, which improves detection accuracy on recordings captured in imperfect acoustic conditions.