Deepfake Detection Made Easy with DeepDetector Software

DeepDetector is a deep learning network designed and trained to recognise AI-generated or AI-manipulated faces. DeepDetector can be seen as an artificial neural network designed to spot forgeries and traces generated by computers.

It is able to do this, because the DeepDetector has seen hundreds of thousands of real and deepfake images. It has trained itself on these images and has learned to find the subtle differences between a photo made with a real camera or a photo synthesised by a computer.
Deepfake Detection Dashboard

01. Extract

The first step towards deepfake detection is extracting all visible faces in the picture or the video.

02. Analyze

After detecting the face(s), our deepfake detection technology gets activicated and analyzes the faces to find deepfake traces.  

03. Detect & explain

The output of the analysis includes the probability of the input being a deepfake and the Activation Map to substantiate the classification.

1 Sec

Image analysis time

100%

Explainable results

95%

Accuracy

10+

Deepfake types can be detected

How DeepDetector detect deepfakes

DeepDetector detects deepfake faces in videos and pictures with an accuracy of 95%. Our technology does not only classify an input as fake, but also explains the reasoning behind its decision by using Activation Maps.
How our Deepfake detection software, DeepDetector works

How does DeepDetector work?

DeepDetector detects deepfake faces in videos and pictures with an accuracy of approximately 93%. Our technology does not only classify an input as fake, but also explains the reasoning behind its decision by using Activation Maps.

01. Extract

The first step towards deepfake detection is extracting all visible faces in the picture or the video.

02. Analyze

After detecting the face(s), our deepfake detection technology gets activicated and analyzes the faces to find deepfake traces.  

03. Detect and explain

The output of the analysis includes the probability of the input being a deepfake and the Activation Map to substantiate the classification.

Vin Diesel deepfake
AI generated man from this person does not exist background overlay
Heatmap of a deepfake background overlay
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Cloud-based

Access our ready-to-use technology by using our customisable APIs to integrate DeepDetector into your current workflow.

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Protected and compliant

All forms of analyses take place in accordance with European laws and regulations regarding data protection, privacy, and responsible AI.

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Representative

Trained with the largest scientific or self-made representative datasets to capture significant information input more efficiently than any other algorithm.

Up to 99.9% Performance:

92.93%

ACCURACY

Percentage of correct predictions (of both real and fake)

84.37%

Precision

Percentage of fake classifications that were actually fake

92.57%

recall

Percentage of actual fakes that are correctly predicted

What can DeepDetector detect?

Deepfake manipulated media

DeepDetector filters all kinds of FaceSwaps and other AI-manipulations by looking for traces of alterations in existing (camera-made) pictures and videos.
Tom Cruise deepfake
This person does not exists

Synthetic media and AI-generated deepfakes

AI-generated visual content, such as StyleGANs are not distinguishable for the unaided human eye. DeepDetector analyses characteristics of AI-generated content to detect them.
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Celebrity deepfakes scan of mark zuckerberg, and jim carrey
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