FaceAI vs Faceswap
FaceAI
poof.videoFaceswap
faceswap.devSide by side
| Figure | FaceAI | Faceswap |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| iOS | Yes | — |
| Plans published | 2 | 1 |
| Spec score · Face Swap Software | 7.7 (#14) | 7.9 (#10) |
| Spec score · AI Face Swap Tools | 7.7 (#30) | 7.8 (#25) |
| Support | The site lists [email protected] as its support contact. | The maker directs users to its forums for questions, guides, and tutorials, and its repository also points to a Discord server for help. |
Plans
In their own words
FaceAI
FaceAI is a browser-based service for replacing faces in videos with faces supplied by the user. Its Face Swap function changes a face in an existing video, while Character Swap places the user into a scene as a full character and animates still photos. The service says its AI detects faces frame by frame, then blends the supplied face with lighting and motion; processing usually takes under a minute. It supports MP4, MOV and WebM videos up to 5 minutes, plus JPG and PNG photos. FaceAI is built mobile-first and works from any device without installing an app, with listings for web and iOS. The Free plan costs nothing and starts with credits. Premium has no listed price and includes unlimited swaps, full-length and HD video, no watermark and priority processing. Source media is deleted when output is delivered, while generated content may be stored for business purposes.
Faceswap
Faceswap is free, open-source software that uses deep learning to recognize and replace faces in pictures and videos. Its workflow extracts faces, trains a model, and converts source media with that model. The application offers both a graphical interface and command-line scripts, and the maker identifies TensorFlow, Keras, and Python as its core technologies. It runs on Windows, macOS, and Linux. The website provides a Windows installer and Linux installation script; users on other platforms are directed to the GitHub repository. A video conversion tool is included, and documentation describes using FFmpeg to turn video into images and back. A modern CUDA-capable GPU is recommended for best performance, while many AMD GPUs are supported through ROCm on Linux. Forums provide questions, guides, and tutorials, and the repository points to Discord. The maker welcomes donations through Patreon and PayPal and says the software is not for non-consensual, illicit, or unethical use.