Lip Sync Tool: Sync Dialogue to AI Characters or Avatars Estimated reading: 2 minutes 19 views 🧠Overview The Lip Sync Tool in MyStage.AI brings your AI characters to life by synchronizing speech with realistic mouth and facial motion.It’s perfect for creating talking avatars, interviews, or cinematic scenes where your AI character needs to speak naturally. This tool uses deep learning alignment models to map audio to facial expressions, ensuring natural rhythm and emotional flow. 🗣️ What You Can Do Sync your voice recordings or AI-generated audio to any video or character render. Create talking head videos, dialogue scenes, or avatar introductions. Adjust lip accuracy, facial emotion intensity, and playback speed. Combine with Kling, Veo, or WAN to produce fully animated storytelling content. ⚙️ How to Use Lip Sync Go to Creator Studio → Tools → Lip Sync. Upload your base video or AI character render. Upload an audio file (MP3, WAV) or generate one using Text-to-Speech. Adjust timing and emotion settings (optional). Click Generate. You’ll receive: A new video file with synchronized mouth movement. Download or further edit options within your project. 🎧 Supported Formats TypeSupported FormatsNotesVideo InputMP4, MOVMust include visible faceAudio InputMP3, WAVClear voice only (no background noise)OutputMP4Synced and ready to use 💡 Tip: For best results, use clean audio and frontal face orientation. 🧩 Integration Options You can integrate Lip Sync with other MyStage.AI tools: Use with Consistent Character to maintain identity across speaking clips. Pair with Virtual Try-On for fashion-based product presentation. Combine with Suno Music or AI soundtracks for dynamic storytelling. 🚫 Restrictions Do not use Lip Sync with real individuals’ likenesses or voices without consent. Deepfake or impersonation-style use is strictly forbidden. All audio content must comply with MyStage’s ethical and legal standards. 🧠Pro Tips For dialogue accuracy, align speech pauses using the Timing Adjust slider. Combine short clips into one scene using Video-to-Video tools. Use generated speech from Text-to-Speech models for multilingual videos.