Generate a talking face video from an image and audio
Turn casual videos into 3D portraits
Turn videos into free-viewpoint portraits
AlecWhisper
Turn casually captured videos into free-viewpoint portraits
Turn casual videos into 3D portraits from any angle
for test
Turn casual videos into lifelike 3D portraits
Transform casual videos into interactive 3D portraits
Turn casually captured videos into photorealistic free-viewpoint portraits
Turn small videos into 3D portraits
Turn casual videos into 3D portraits
Create free-viewpoint portraits from videos
SadTalker is an AI-powered tool designed to convert a portrait into a talking video. It generates a realistic talking face video from a given image and audio input, allowing users to create engaging and lifelike animations.
• Realistic Talking Videos: Creates natural-looking talking videos from static images.
• Voice Compatibility: Supports synchronization with various voice inputs or audio files.
• Multilingual Support: Allows for text-to-speech in multiple languages.
• High-Quality Output: Produces videos with sharp, high-resolution details.
• Customization Options: Adjust facial expressions, lip movements, and animation styles.
• User-Friendly Interface: Simple and intuitive design for seamless user experience.
What formats does SadTalker support for images?
SadTalker supports common image formats such as JPG, PNG, and BMP. Ensure the image is clear and focuses on a single face for best results.
Can I use my own voice for the video?
Yes, you can upload an audio file with your own voice or any other voice recording to sync with the video.
How long does it take to generate a video?
Processing time depends on the video length and resolution. Typically, it takes a few seconds to a minute for standard videos.
Can I batch process multiple images at once?
Currently, SadTalker processes one image at a time. For bulk processing, consider using advanced versions or API access.
How can I customize the output video?
You can customize facial expressions, lip movements, and animation styles during the setup phase.