The first step towards deepfake detection is extracting all visible faces in the picture or the video.
After detecting the face(s), our deepfake detection technology gets activicated and analyzes the faces to find deepfake traces.
The output of the analysis includes the probability of the input being a deepfake and the Activation Map to substantiate the classification.
Image analysis time
Deepfake types can be detected
Access our ready-to-use technology by using our customisable APIs to integrate DeepDetector into your current workflow.
All forms of analyses take place in accordance with European laws and regulations regarding data protection, privacy, and responsible AI.
Trained with the largest scientific or self-made representative datasets to capture significant information input more efficiently than any other algorithm.
Percentage of correct predictions (of both real and fake)
Percentage of fake classifications that were actually fake
Percentage of actual fakes that are correctly predicted