Name: Pixverse Lip Sync API
Brand: PixVerse

Overview

What is Pixverse Lip Sync API?

PixVerse Lip Sync generates videos with synchronized lip movements from audio and face image inputs.

Technical Specifications
- Supported inputs: Image, Text, Video
- Output: Video

Performance Benchmarks
[embed]

Pixverse Lip Sync API Pricing
- Pricing on request

Where to Use Pixverse Lip Sync

Short-form video generation
Create clips for social, ads, and product demos from text or image prompts.

Previsualization and storyboards
Rapidly prototype motion concepts before committing to production.

Use cases

Automated dubbing and localization of films, TV shows, and online videos. Pixverse Lip Sync is documented for matching a new audio track to existing mouth movements so spoken content can be adapted for different languages and markets.

Creating virtual presenters or digital avatars for marketing, education, and entertainment. The model is described as suitable for turning characters or people into talking avatars with synchronized speech, which supports presenter-style and avatar-driven content.

Enhancing video game characters with realistic speech animation. The documented use case is to make in-game or character-driven speech look natural by aligning mouth motion with audio.

Generating personalized video messages or interactive storytelling content. The model is described as useful for content where speech needs to be synchronized to a specific character or scene, including personalized and narrative video formats.

How to use Pixverse Lip Sync API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to pixverse/lip-sync.

import requests, time

headers = {"Authorization": "Bearer " + AIMLAPI_KEY}
job = requests.post(
    "https://api.aimlapi.com/v2/video/generations",
    headers=headers,
    json={
      "model": "pixverse/lip-sync",
      "prompt": "A serene timelapse of clouds over a mountain range"
    },
).json()
gid = job["id"]

while True:
    res = requests.get(f"https://api.aimlapi.com/v2/video/generations?generation_id={gid}", headers=headers).json()
    if res.get("status") in ("completed", "error"):
        break
    time.sleep(5)
print(res["video"]["url"])

const headers = {
  Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
  "Content-Type": "application/json",
};
const job = await (await fetch("https://api.aimlapi.com/v2/video/generations", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "model": "pixverse/lip-sync",
    "prompt": "A serene timelapse of clouds over a mountain range"
  }),
})).json();

let res;
do {
  await new Promise((r) => setTimeout(r, 5000));
  res = await (await fetch(`https://api.aimlapi.com/v2/video/generations?generation_id=${job.id}`, { headers })).json();
} while (!["completed", "error"].includes(res.status));
console.log(res.video.url);

# submit the generation — the response contains the job "id"
curl -X POST https://api.aimlapi.com/v2/video/generations \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"pixverse/lip-sync","prompt":"A serene timelapse of clouds over a mountain range"}'

# then poll until status is "completed" — video.url holds the result
curl "https://api.aimlapi.com/v2/video/generations?generation_id={id}" -H "Authorization: Bearer $AIMLAPI_KEY"

OpenAI-compatible — swap the base URL and it works with your existing SDK.