Create talking face animations from still images and audio
Turn selfie videos into 3D portraits
python tool
Turn casually captured videos into 3D portraits
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Turn selfie videos into interactive 3D portraits
Generate Talking avatars from Text-to-Speech
Turn casual selfie videos into interactive 3D portraits
Turn videos into free-viewpoint portraits
Generate Talking avatars from Text-to-Speech
for test
LipSyncer is an AI-powered tool that transforms a single portrait into a realistic talking video. Using advanced audio and facial animation technology, it synchronizes lip movements with any provided audio, creating the illusion of a live conversation. Whether for creative projects, marketing, or entertainment, LipSyncer brings still images to life with accurate and engaging animations.
• Automatic Lip Syncing: LipSyncer uses AI to analyze audio and synchronize lip movements precisely.
• Audio Compatibility: Supports a wide range of audio formats and sources, including recorded speech or text-to-speech outputs.
• Image Flexibility: Works with popular image formats like JPG, PNG, and more for easy integration.
• Real-Time Previews: Allows users to preview animations before generating the final video.
• Customization Options: Adjust facial expressions, head movements, and animation styles to match your vision.
• PLUS Model Integration: Leverages advanced AI models for superior accuracy in lip-syncing and facial animations.
• TeamShare Collaboration: Enable teams to collaborate on projects seamlessly with cloud-based sharing and feedback tools.
What file formats does LipSyncer support?
LipSyncer supports JPG, PNG, and other common image formats for input, and outputs video in MP4, MOV, and AVI formats.
Can I customize the facial expressions?
Yes, LipSyncer allows you to adjust facial expressions, head movements, and animation styles to align with your creative goals.
How does LipSyncer handle different accents or languages?
LipSyncer’s AI is trained on diverse audio data, including various accents and languages, ensuring accurate lip-syncing across different voice types.