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 suppor
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 Open-source free; paid quickstart builds with unspecified price. Free Plan Yes Ease of Use 4.0/5 Business Value 4.3/5
Deep-Live-Cam is an open-source, real-time face swap and video deepfake tool that operates with a single image and a single click, as evidenced by its GitHub repository. It is designed for the AI-generated media industry, assisting artists in animating characters and creating content, while incorporating built-in checks to prevent processing inappropriate media. The tool supports multiple features including Mouth Mask, Face Mapping, and Many Faces, and offers pre-built quickstart versions for Windows, Mac Silicon, CPU, NVIDIA, and AMD, with an Ultimate version containing 30+ exclusive features. Its strategic role is to provide accessible, real-time deepfake capabilities for creative and entertainment purposes, while emphasizing ethical use, consent, and legal compliance. The project has gained significant traction with 95.9k stars and 14k forks, indicating strong community interest and adoption.
Professional reality: If your organization lacks a video‑first data strategy, Deep Live Cam will add complexity without delivering ROI.
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 GitHub repository for Deep-Live-Cam does not list any pricing for the open-source software itself. The project is available under the AGPL-3.0 license, and the repository provides manual installation instructions. However, the README mentions 'Pre-built Quickstart' builds for Windows, Mac Silicon, CPU, NVIDIA, and AMD, described as 'Ultimate includes 30+ exclusive features, performance optimizations, and priority support' and 'fastest setup with zero manual installation.' These quickstart builds are not free, but no specific prices are shown on this page. No subscription or service fees are mentioned.
| Plan | Price | What You Get |
|---|
Visit the official Deep Live Cam website to check the latest pricing and plans.
Use Deep-Live-Cam to swap your face with a single source image in real-time during live video calls or streams. The tool's webcam mode lets you select a face, click 'Live', and see the preview appear in 10-30 seconds, enabling you to become a digital doppelganger on platforms like Omegle or during live shows.
Watch movies or any video with a different face in real-time. By selecting a source face image and a target video, the software processes the video frame-by-frame, allowing you to replace faces in existing footage while keeping the original audio and fps if desired.
Use the 'Face Mapping' feature to apply different faces to multiple subjects simultaneously in a single video. This is useful for creating dynamic content where each person in the frame can have a distinct swapped face, as demonstrated in the 'Many Faces' feature used to create viral memes.
Create engaging content like memes by swapping faces in videos or images. The tool's features, including mouth mask for accurate lip movement and face enhancer, allow artists and creators to animate custom characters or produce entertaining clips that can go viral on social media.
Sign up for the free plan and connect your first camera feed.
Choose a pre‑built model (people, vehicles, products) from the dashboard.
Configure basic alerts for thresholds that matter to your team.
Integrate the generated metrics into your existing BI tool via the API.
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 Reviewed: June 2026 | Reviewed by theaitoolsbox.com editorial team
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