Deep-Live-Cam open source analysis
real time face swap and one-click video deepfake with only a single image
Project overview
⭐ 76062 · Python · Last activity on GitHub: 2025-11-20
Why it matters for engineering teams
Deep-Live-Cam addresses the practical challenge of real-time face swapping and video deepfake generation using only a single image, which can be complex to implement efficiently. It is particularly suited for machine learning and AI engineering teams looking for a production ready solution that supports real-time applications such as live streaming or interactive media. The project is mature, with a large user base and active maintenance, making it reliable enough for integration in production environments where performance and accuracy are critical. However, it may not be the best choice when strict ethical guidelines or regulatory compliance restrict the use of deepfake technology, or when teams require a fully customisable solution beyond the scope of this open source tool for engineering teams.
When to use this project
Choose Deep-Live-Cam when your project requires a self hosted option for real-time face swapping or video deepfake generation with minimal setup. Consider alternatives if your use case demands extensive customisation, higher fidelity outputs, or if you need to avoid potential ethical concerns associated with deepfake technology.
Team fit and typical use cases
Machine learning and AI engineers benefit most from Deep-Live-Cam, using it to prototype and deploy real-time face manipulation features in applications such as video conferencing, entertainment, or augmented reality. This open source tool for engineering teams fits well in products where live video processing and user interaction are key, enabling rapid experimentation and production deployment without building complex models from scratch.
Best suited for
Topics and ecosystem
Activity and freshness
Latest commit on GitHub: 2025-11-20. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.