Morgan Freeman Deepfake Detection Technology Example

Deepfake Detection For Images and Videos

This isn't the celebrity Morgan Freeman but a deepfake — our explainable deepfake detection tool uncovers synthetic images, videos and audios with precision and empowers trust in the digital age. Stay one step ahead in the fight against deepfake fraud.

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Supported By

Federal Ministry of Education and Research, Germany
CISPA Helmholtz Center for Information Security, Germany
Helmholtz Association, Germany

What Makes Us Special

Explainable Results

Our deepfake detection is transparent, not a black box. We provide a detailed explanation of why our AI models determine that your uploaded media is a deepfake, allowing you to understand the model's decision and form your own opinion. Beyond AI-based detection, we also provide non-AI-based forensic techniques to offer a comprehensive analysis.

Visual explanation of deepfake detection results using AI
Illustration of AI models used for deepfake detection across manipulation methods.

Multi-Detector Framework

Reliable deepfake detection demands precision due to the diverse nature of deepfakes, including face swaps, lip-sync manipulations, and diffusion-generated media. To ensure accurate deepfake detection, we employ a range of specialized AI models, each optimized to identify a specific category of deepfake content.

Comprehensive Insights

Our deepfake detection solution extends beyond AI analysis to deliver comprehensive forensic insights. Leveraging reverse image searches, we identify where media has previously surfaced online and highlight visually similar content. Our metadata analysis unveils origins of digital media, while digital watermark verification ensures content authenticity from trusted sources.

Deepfake Detection with Reverse Search and Metadata Analysis
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Frequently Asked Questions

A deepfake is an AI-generated image, video or audio. It can depict people, objects, or events in ways that did not actually occur but appear to be real.

Our Deepfake Detection uses multiple AI models to analyze subtle patterns in media such as inconsistencies in lighting, facial movements, or compression artifacts that reveal signs of manipulation. Additionally, metadata and watermarks can be checked, and a reverse image search can provide insights into the image's origin.

Our multi‑detector framework achieves >98% accuracy on benchmark datasets, and provides visual explanations for every prediction. While real-world scenarios can be more challenging, we actively monitor weaknesses and continuously improve our system to ensure it remains robust and reliable in the wild.

We provide both options: an on-premise solution for cases where data must remain in-house, and a cloud-based API that integrates seamlessly into your existing workflows.

Yes, our soft- and hardware is optimized for high performance and can detect deepfakes in real-time or batch-process large volumes of content, depending on your needs.

Yes, we prioritize data privacy and ensure our solutions comply with GDPR and other data protection regulations.

Our solution is designed for law enforcement, media companies, content platforms, financial institutions, and anyone needing to verify the authenticity of digital media.