Deepfakes Web
Open siteWhat is Deepfakes Web?
Deepfakes Web is a cloud-based platform that leverages artificial intelligence and deep learning to enable users to create high-quality deepfake videos by swapping faces in uploaded videos or images. Its mission is to make deepfake technology accessible for entertainment, gaming, satire, and digital art while promoting responsible use through features like digital watermarks and intentional imperfections. The platform is designed to be user-friendly, requiring no advanced technical skills or local hardware, as all processing occurs in the cloud. It caters to content creators, gamers, and artists, offering both free and premium plans to suit various needs. Deepfakes Web prioritizes user privacy, ensuring that uploaded media is not shared with third parties and is automatically deleted after processing. The platform also provides a RESTful API for developers to integrate face-swapping technology into their applications.
Deepfakes Web's Core Features
- AI-powered face-swapping generates realistic deepfake videos in minutes using uploaded images and videos.
- Cloud-based processing eliminates the need for powerful local hardware, making it accessible from any device with an internet connection.
- Digital watermarks are embedded in videos to identify them as deepfakes, promoting ethical use.
- Reusable AI models allow users to improve video quality or create additional videos without retraining, saving time and resources.
- Supports 4K and HD video processing in advanced mode, delivering high-quality outputs for professional use.
- User-friendly interface enables video creation in three clicks or less, ideal for users with minimal technical expertise.
- Privacy protection ensures that only the user has access to their uploaded media, which is deleted after processing.
- RESTful API allows developers to integrate deepfake technology into their applications or workflows.
- Flexible pricing includes a free basic plan and premium options for advanced features and higher resolution outputs.