Audio-based Lip Sync for Talking Head Video Editing
Generate lip-synced video from video/image and audio
Generate subtitled videos from YouTube links
Generates a sound effect that matches video shot
Interact with video using OpenAI's Vision API
Generate videos from images or other videos
Generate 3D motion from text prompts
Generate a video from a text prompt
Create a video by syncing spoken audio to an image
Generate summaries from YouTube videos or uploaded videos
Audio Conditioned LipSync with Latent Diffusion Models
Final Year Group Project : Video
Video upscaler/restorer
VideoRetalking is an innovative video generation tool designed for audio-based lip sync and talking head video editing. It enables users to change spoken words in a video seamlessly, allowing for easy editing of dialogue without the need for re-recording. This tool is particularly useful for content creators, marketers, and editors who want to refine or localize video content efficiently.
• Audio-based Lip Sync: Automatically syncs audio with video to create realistic lip movements.
• Text-based Editing: Edit spoken words directly in the transcript, and the video adapts accordingly.
• Multi-Language Support: Generate talking head videos in multiple languages while maintaining lip sync accuracy.
• Customizable Avatars: Use predefined or custom avatars to create consistent talking head videos.
What languages does VideoRetalking support?
VideoRetalking supports a wide range of languages, making it ideal for global content creation.
Can I use my own avatar?
Yes, you can upload your own custom avatar or use one of the predefined options.
Is the lip sync accurate?
Yes, VideoRetalking uses advanced AI to ensure highly accurate lip sync that appears natural and realistic.