AI Avatar & Lipsync API — Talking Videos and Dubbing

What is an AI Avatar & Lipsync API?

An AI lipsync API takes an existing video and a new audio track and re-syncs the mouth movements to match — the standard tool for dubbing a talking-head video into a new language without re-shooting it. An AI avatar API instead starts from a single portrait image and an audio clip and generates a brand-new talking video from scratch — no source footage required. Both solve the same underlying problem (make a face speak a given audio track) with different starting inputs.

Muapi exposes 500+ models — including every lipsync and avatar-generation model on this page — through the same unified REST pattern: one API key, one request/poll flow, pay-per-generation pricing with no subscription.

Video Lipsync vs. AI Avatar Generation

Use video lipsync — LatentSync, Veed Lipsync, Sync Lipsync, Creatify Lipsync, or Volcengine Lipsync — when you already have a video and just need the mouth movements to match a different audio track: dubbing existing footage into a new language, replacing a scratch narration with the final voiceover, or fixing an out-of-sync recording. Volcengine additionally supports scene segmentation and speaker identification for complex, multi-person footage. Use AI avatar generation — Wan 2.2 Speech-to-Video, LTX-2/LTX-2.3 Avatar, InfiniteTalk, Kling Avatar (v1/v2, Standard/Pro), or OmniHuman 1.5 — when you don't have source video at all: just a photo of a person or character and an audio clip. The Kling and LTX-2/LTX-2.3 tiers are priced by resolution and duration, so a quick draft costs a fraction of a final render.

Key Capabilities

Avatar & Lipsync Model Comparison

How to Call the AI Lipsync API

1. Pick a model — video lipsync if you have source footage, AI avatar generation if you only have a photo — using the comparison table above.
2. Submit the request. POST /api/v1/{model-slug} with a video or image URL plus an audio URL.
3. Poll for completion. Check GET /api/v1/predictions/{request_id}/result until status is completed, then download the output video.

curl -X POST https://api.muapi.ai/api/v1/sync-lipsync \
  -H "Content-Type: application/json" \
  -H "x-api-key: YOUR_API_KEY" \
  -d '{
    "video_url": "https://example.com/talking-head.mp4",
    "audio_url": "https://example.com/new-narration.mp3"
  }'

import requests

response = requests.post(
    "https://api.muapi.ai/api/v1/sync-lipsync",
    headers={"x-api-key": "YOUR_API_KEY"},
    json={
        "video_url": "https://example.com/talking-head.mp4",
        "audio_url": "https://example.com/new-narration.mp3",
    },
)
request_id = response.json()["request_id"]

result = requests.get(
    f"https://api.muapi.ai/api/v1/predictions/{request_id}/result",
    headers={"x-api-key": "YOUR_API_KEY"},
)
print(result.json())

Frequently Asked Questions