Name: Kling Avatar Professional API
Brand: Kling AI

Overview

What is Kling Avatar Professional API?

Kling Avatar creates dynamic videos from avatar reference images with audio synchronization using professional mode for higher quality and longer duration.

Technical Specifications
- Supported inputs: Image
- Output: Video

Performance Benchmarks
[embed]

Kling Avatar Professional API Pricing
- Pricing on request

Where to Use Kling Avatar Professional

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

Kling Avatar Professional is documented for creating talking avatar or spokesperson videos from a single image plus audio, making it suited to brand announcements and product-launch messages. It is also described as useful for personalized customer messages and other individualized marketing videos. A further documented use case is educational content, including explainer-style or training clips. It is also suited to social content and professional presentations where a recognizable face and synchronized speech are needed.

How to use Kling Avatar Professional API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to klingai/avatar-pro.

import requests, time

headers = {"Authorization": "Bearer " + AIMLAPI_KEY}
job = requests.post(
    "https://api.aimlapi.com/v2/video/generations",
    headers=headers,
    json={
      "model": "klingai/avatar-pro",
      "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": "klingai/avatar-pro",
    "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":"klingai/avatar-pro","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.