Deep-Live-Cam open source analysis
real time face swap and one-click video deepfake with only a single image
Project overview
⭐ 75764 · Python · Last activity on GitHub: 2025-11-10
Why it matters for engineering teams
Deep-Live-Cam addresses the challenge of real-time face swapping and video deepfake creation using only a single image, providing a practical solution for teams working on AI-driven visual applications. It is particularly suited for machine learning and AI engineering teams focused on real-time video processing and generative adversarial networks (GANs). The project has a strong community backing and a mature codebase, making it a reliable choice for prototyping and some production environments where real-time performance is critical. However, it may not be ideal for applications requiring extremely high fidelity or strict ethical guidelines, as the technology can be sensitive and demands careful use. Additionally, teams seeking a fully managed or cloud-based service might find this self hosted option less convenient compared to commercial alternatives.
When to use this project
Deep-Live-Cam is a strong choice when your project requires a production ready solution for real-time face swapping with minimal input data. Teams should consider alternatives if they need higher resolution outputs, extensive customisation, or a fully managed service without the overhead of self hosting.
Team fit and typical use cases
This open source tool for engineering teams is most beneficial to AI and machine learning engineers working on real-time video manipulation or deepfake technology. They typically integrate it into applications such as virtual avatars, video conferencing enhancements, or entertainment software. The project fits well in environments where control over data and customisation is important, allowing teams to build innovative products with real-time deepfake capabilities.
Best suited for
Topics and ecosystem
Activity and freshness
Latest commit on GitHub: 2025-11-10. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.