DeepLiveCam

Offline desktop app for real-time face swaps from webcam or video files with OBS integration and GPU acceleration.

Video & Animation AI Avatars & PresentersFreemium

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$30Starting price

81KMonthly visits

32Popularity

About DeepLiveCam

DeepLiveCam is an offline desktop application that enables real-time face swapping and avatar-style character transformations for streamers, VTubers, filmmakers, and content creators. The tool processes webcam feeds or local video files to apply deepfake-style effects during recording or playback without requiring an internet connection, ensuring privacy and data control. It integrates directly with OBS Studio to stream transformed output to platforms like Twitch or YouTube, making it suitable for live broadcasting and content production workflows. The application supports GPU acceleration for NVIDIA and AMD hardware, optimizing performance for smooth real-time processing. Features include a one-click Quickstart installer for ease of setup and a face randomizer for varied character appearances. DeepLiveCam is available as both a paid subscription and an open-source version on GitHub, catering to users who prioritize local control and offline operation. The tool is designed for creative professionals seeking to enhance their visual content with dynamic face-swapping capabilities while maintaining data privacy and workflow flexibility.

Key features

Real-time face swapping from webcam or video files
OBS integration for live streaming
Offline processing (no internet required)
GPU acceleration for NVIDIA and AMD
One-click Quickstart installer
Face randomizer feature
Open-source version available on GitHub
Local control over video data
Subscription-based paid plans
Avatar-style character transformations

Use cases

Live streaming with face-swapped avatars
Creating deepfake-style effects for recorded videos
Privacy-focused real-time face swapping for content creators

Pros

Real-time face-swapping and avatar transformations without requiring an internet connection
Offline processing for enhanced privacy and data security
GPU acceleration support for NVIDIA and AMD hardware for optimized performance
Integration with OBS for seamless streaming to platforms like Twitch or YouTube
Available as both a paid subscription and an open-source version on GitHub

Cons

May require specialized hardware for optimal performance, particularly in the full version
Complexity in setup for users unfamiliar with AI-driven face-swapping tools
Potential performance issues reported in earlier versions, though updates aim to address these

Frequently asked questions about DeepLiveCam

What is DeepLiveCam and what does it do?

DeepLiveCam is an offline desktop application that enables real-time face swapping and avatar-style character transformations for webcam feeds or local video files. It allows users to apply deepfake-style effects during recording or playback without requiring an internet connection.

Who is DeepLiveCam designed for?

The tool is designed for streamers, VTubers, filmmakers, and content creators who need real-time face swapping and avatar transformations. It caters to both professional users and those seeking straightforward face-swapping solutions.

Does DeepLiveCam require an internet connection to function?

No, DeepLiveCam operates entirely offline, ensuring fast processing and secure usage without cloud-based dependencies. This also means no uploads of video data are required.

What hardware does DeepLiveCam support?

DeepLiveCam supports GPU acceleration for NVIDIA and AMD hardware, optimizing performance for real-time face swapping. It also offers a Lite version that does not require specialized hardware.

How can I integrate DeepLiveCam with streaming software like OBS?

DeepLiveCam integrates directly with OBS, allowing users to stream transformed output to platforms like Twitch or YouTube. The application processes the webcam feed or video files before sending the output to OBS.

Is there a free version of DeepLiveCam available?

Yes, DeepLiveCam is available as an open-source version on GitHub, in addition to a paid subscription model. The Lite version is also free and designed for users who want straightforward face swapping without specialized hardware.