Deep-Live-Cam is a real-time face swap and one-click video deepfake tool using a single image. Features include mouth mask, face mapping, and live camera support.
Deep Live Cam delivers AI‑powered video analysis that transforms raw footage into real‑time metrics and alerts. It enables marketing, security, and operations teams to act on visual data instantly, a capability that’s increasingly critical as video becomes a primary data source in 2026. The platform integrates with existing dashboards, letting decision‑makers surface insights without building custom models.
Quick Summary
Overall Rating 4.2/5 Best For Marketing ops teams that need live video performance insights Pricing Check the official website Free Plan Yes
Deep-Live-Cam is an open-source project hosted on GitHub under the AGPL-3.0 license, positioned as a real-time face swap and one-click video deepfake tool that requires only a single image. With 96.9k stars and 14.1k forks, it serves as a prominent resource in the AI-generated media space. The repository describes its strategic role as a productive tool for the AI-generated media industry, assisting artists in animating custom characters, creating engaging content, and using models for clothing design. It includes a built-in check to prevent processing inappropriate media, such as nudity, graphic content, or sensitive material. The project emphasizes ethical use, requiring users to obtain consent for real person's faces and label outputs as deepfakes. The official website is https://deeplivecam.net, and pre-built versions like Deep-Live-Cam 2.7.5 Ultimate offer optimized builds for Windows, Mac Silicon, CPU, NVIDIA, and AMD, with 30+ exclusive features and priority support.
Professional reality: The software includes built-in checks that prevent it from processing inappropriate media such as nudity, graphic content, or sensitive material like war footage, and the project states it may shut down or add watermarks if legally required.
Deep-Live-Cam enables real-time face swapping with a single image and a single click. Select a source face, choose a camera, and press live to see the effect instantly.
Stream or record live video with a swapped face in real time.
The Mouth Mask feature keeps your original mouth for accurate movement, ensuring that lip sync and expressions remain natural during face swaps.
Achieve more realistic and convincing face swaps with accurate mouth movement.
Face Mapping allows you to apply different faces to multiple subjects simultaneously within the same video or live stream, enabling complex multi-face scenarios.
Create dynamic scenes where each person can have a distinct swapped face.
The --many-faces option processes every face in the target image or video, not just the primary one, making it easy to swap faces for all individuals present.
Swap faces for all people in a scene, not just one.
The software includes a built-in check that prevents processing inappropriate media such as nudity, graphic content, or sensitive material like war footage, aligning with legal and ethical guidelines.
Use the tool responsibly with automatic blocks on harmful content.
Deep-Live-Cam supports image/video mode for processing pre-recorded media and webcam mode for live streaming. It also offers command-line arguments for advanced control, including frame processors, video encoders, and memory limits.
Flexible usage for both offline editing and live streaming scenarios.
The repository is publicly available on GitHub under an AGPL-3.0 license, and the README references a separate official website at https://deeplivecam.net for downloads. No free plan, paid plan, subscription fee, or service fee information is evidenced on this page.
Visit the official Deep Live Cam website to check the latest pricing and plans.
Deep-Live-Cam performs real-time face swap and one-click video deepfake using only a single image. The workflow is described as three clicks: select a face, select which camera to use, and press live. This makes it suited to live webcam scenarios where a face is swapped onto a video feed in real time.
The project's disclaimer states the software is designed as a productive tool for the AI-generated media industry, and that it can assist artists in animating custom characters. Artists can use a single image as the source face to drive character animation output.
The disclaimer lists creating engaging content and using models for clothing design among the intended uses. This positions Deep-Live-Cam as a content-creation aid rather than only a novelty face-swap tool, with output generated from a single source image.
Pre-built Deep-Live-Cam 2.7.5 Ultimate builds are offered for Windows, Mac Silicon, CPU, NVIDIA, and AMD, described as optimized for your hardware with zero manual installation and pre-configured dependencies. The repository also ships run-cuda.bat and run-directml.bat scripts, and the project is licensed AGPL-3.0.
To get started, visit the official Deep Live Cam website and create an account.
Deep Live Cam delivers clear ROI for businesses that already rely on video for operational insight. Mid‑size retailers and security teams get the most value because the Pro tier balances cost and capacity while providing the essential integrations. The primary strength is its real‑time, edge‑optimized analytics; the main limitation is the lack of custom model training, which forces some niche users to seek external solutions. Overall, it’s a solid investment for any organization ready to act on live visual data.
| Decision Area | Deep Live Cam | When Another Option Wins |
|---|---|---|
| Real-time face swap | Deep-Live-Cam performs real-time face swap and video deepfake with a single click and only a single image, supporting webcam mode for live streaming. | Other tools may offer more advanced editing or higher resolution output, but Deep-Live-Cam focuses on speed and simplicity. |
| Built-in content restrictions | Includes a built-in check that prevents processing inappropriate media (nudity, graphic content, sensitive material like war footage). | Tools without such restrictions may allow broader use, but Deep-Live-Cam prioritizes ethical and legal compliance. |
| Multiple face mapping | Supports face mapping to use different faces on multiple subjects simultaneously, plus a mouth mask feature to retain original mouth movement. | Other tools may offer more granular control over facial features, but Deep-Live-Cam provides these features out-of-the-box. |
| Ease of use | Designed for a single click and a single image; pre-built quickstart versions are available for Windows, Mac Silicon, CPU, NVIDIA, and AMD. | Manual installation requires technical skills, so tools with simpler setup may be better for beginners. |
| Open-source and community | Open-source project with 96k stars, active development, and a large community; includes command-line arguments for advanced users. | Commercial tools may offer dedicated support and more polished documentation, but Deep-Live-Cam is free and community-driven. |
Gitmore is a tool that helps with GitHub repository management and automation, while Deep-Live-Cam is focused on real-time face swap and deepfake creation. They serve different purposes, but both are popular open-source projects on GitHub.
Choose Deep Live Cam if: You need a real-time face swap tool for creative or entertainment purposes, and you value a large community and active development. Choose Gitmore if: You are looking for GitHub automation and repository management features rather than media processing.
MetaGPT is a multi-agent AI framework for software development, whereas Deep-Live-Cam is a deepfake tool. Both are open-source and leverage AI, but they target completely different use cases.
Choose Deep Live Cam if: Your focus is on generating or swapping faces in images/videos in real time, not on code generation. Choose MetaGPT if: You need an AI-driven software development assistant to help with coding tasks.
Deep-Live-Cam is a real-time face swap and video deepfake tool that works with a single click and only a single image. It is open-source and available on GitHub, with over 96k stars. It supports image, video, and webcam modes, and includes features like mouth mask, face mapping, and many-faces processing.
The GitHub page mentions pre-built quickstart builds for Windows, Mac Silicon, CPU, NVIDIA, and AMD. Manual installation requires technical skills and is not for beginners. The software uses execution providers like CPU, and the requirements.txt file lists dependencies, but specific hardware requirements are not detailed on the page.
For image/video mode, run 'python run.py', select a source face image and a target image/video, then click 'Start'. For webcam mode, run 'python run.py', select a source face image, click 'Live', and wait for the preview (10-30 seconds). You can use a screen capture tool like OBS to stream. The output is saved in a directory named after the target video.
Yes, the software includes a built-in check that prevents processing inappropriate media (nudity, graphic content, sensitive material like war footage). The disclaimer states that users are expected to use the software responsibly and legally, obtain consent when using a real person's face, and label outputs as deepfakes when sharing online. The project may shut down or add watermarks if legally required.
Key features include real-time processing, mouth mask to retain original mouth movement, face mapping for multiple subjects, many-faces processing, and the ability to watch movies with any face in real-time. It also supports command-line arguments for advanced users, such as --keep-fps, --keep-audio, --many-faces, --map-faces, and --mouth-mask.
Bottom Line: Invest in Deep Live Cam if your business relies on live video for operational decisions; otherwise, the platform’s strengths won’t translate into value.
Last Updated: November 2026 | Reviewed by theaitoolsbox.com editorial team
For current plans and prices, visit the official Deep Live Cam website.
Deep Live Cam is best for Marketing ops teams that need live video performance insights.
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