What is MuDDi?#
MuDDi (Multi-modal Deepfake Detection) is a digital forensic tool designed for analyzing and detecting manipulated content in videos and images. Using state-of-the-art AI technology, MuDDi identifies deepfakes and provides reliable assessments of media authenticity.
Whether in digital forensics, fact-checking, or law enforcement, MuDDi helps uncover manipulated content and safeguard the integrity of digital media.
How Does MuDDi Work?#
MuDDi integrates advanced AI methodologies for precise deepfake detection:
- 🔍 Videoplethysmography (VPG): Analyzing micro-movements in skin regions to detect missing or unnatural pulse waves in deepfake videos.
- 📸 Image Forensics & Watermark Analysis: Identifying manipulations through high-resolution image feature analysis and invisible watermark detection.
- đź§ AI-Powered Expert Evaluation (LLMs): Large Language Models assess media authenticity based on stylistic and contextual analysis.
Where is MuDDi Used?#
MuDDi is specifically designed for professional use in digital forensics and supports:
- Fact-checkers & Media Organizations – for verifying videos and images.
- Security & Law Enforcement Agencies – for digital evidence collection and authentication.
- Platform Providers & Tech Companies – to combat misinformation and media manipulation.
MuDDi’s technology is set to be deployed in real-world applications, including CORRECTIV’s Faktenforum. This participatory platform allows citizens and experts to work together to identify manipulated content and disinformation.
Award-Winning Technology: SPRIND Innovation Competition#
MuDDi is one of the winners of the SPRIND Funke Innovation Challenge “Deepfake Detection & Prevention” – a testament to the technological relevance and innovation behind our approach.
Applied AI Research for Digital Democracy#
MuDDi is developed at the FZI Research Center for Information Technology, a leading independent research institution for applied computer science. As a non-profit institute, FZI combines cutting-edge research with practical applications, supporting businesses, government agencies, and civil society in developing innovative technologies.
The project is led by the House of Participation (HoP) at FZI – an interdisciplinary research hub for digital democracy. HoP develops and investigates technological solutions to strengthen democratic processes, combat disinformation and deepfakes, and support a future-oriented digital public sphere and governance.
Our Team#

MuDDi is an interdisciplinary research project at the FZI Research Center for Information Technology, bringing together expertise in AI, media forensics, and digital democracy.
Dr. Jonas Fegert
Project Lead, Information Manipulation & AI
Dr.-Ing. Steffen Thoma
AI, NLP
Christoph Zimmermann
AI-based Image & Video Analysis
Jacob Langner
System Engineering & Software Architecture
Maria Rill
IT Law & Data Protection
Isabel Bezzaoui
Requirements Analysis
Prof. Dr. Achim Rettinger
Computational Linguistics & AI
Prof. Dr. Wilhelm Stork
Microsystems & Information Technology
Get in Touch & Collaborate#
Are you interested in MuDDi or looking to collaborate? We’d love to connect!
đź“© Contact us!