Generate a talking face video from a still image and audio
Create videos from text with background music and looping
Generate a video animating a source image to match a given audio
Create animated video from text and image
Turn video uploads into real-time narration and questions
Generate a video where text highlights as spoken
Generate photorealistic portraits from casual videos
Generate realistic voice audio from text and sample voice
F5-TTS & E2-TTS: Zero-Shot Voice Cloning (Unofficial Demo)
Create detailed video descriptions from prompts
Converts any audio or video to a waveform animation.
Create a talking video from text, voice, and image
Generate a video from selected images and audio
SadTalker is an advanced AI tool designed to generate realistic talking face videos from a still image and corresponding audio. Built using Gradio 4.x and the latest PyTorch, it combines cutting-edge AI technologies to create immersive and lifelike video outputs. The tool is particularly useful for adding realistic sound to video or creating engaging visual content from static images and audio inputs.
• Real-time Audio Synchronization: Matches lip movements and facial expressions with the audio input for a seamless experience.
• Multiple Facial Expressions: Generates diverse and realistic facial animations based on the audio tone and context.
• Background Replacement: Allows users to customize the background of the video to match their desired setting.
• Custom Audio Support: Accepts various audio formats and lengths, enabling flexibility in content creation.
• Cross-Platform Compatibility: Works efficiently across different operating systems and devices.
What platforms does SadTalker support?
SadTalker is designed to work on Windows, macOS, and Linux, making it accessible across various operating systems.
Can I use any audio format with SadTalker?
Yes, SadTalker supports most common audio formats, including MP3, WAV, and AAC.
How long does it take to generate a video?
Processing time depends on the length of the audio and system resources. Typically, it takes a few seconds to a minute for standard videos.