Deepfake detection is the process of identifying manipulated or AI-generated media (typically videos, images, or audio) designed to appear real. Our technology uses advanced machine learning and forensic techniques to detect signs of synthetic media.

Our system uses a combination of deep learning, facial forensics, and behavioral analysis to detect inconsistencies and manipulation artifacts in digital media.

Our solution is ideal for: Media organizations protecting the integrity of visual content. Social media platforms detecting fake content uploads. Financial institutions combating identity fraud. Government agencies and law enforcement involved in digital forensics. Enterprises managing brand reputation and employee impersonation risks.

We do not store any user-submitted data. All media files you upload—whether images, videos, or audio—are processed ephemerally in-memory or in a secure temporary environment. Once the detection is complete, the data is immediately discarded. We do not retain, log, or share any of your media or results unless you explicitly opt in for debugging or feedback purposes.

Absolutely. We provide a fully documented REST API that supports image, video, text, and audio input. It's designed for easy integration into existing platforms and workflows.