Name: Kling 3.0 Pro Text to Video API
Brand: Kling AI

Overview

What is Kling 3.0 Pro Text to Video API?

Kling 3.0 Pro text-to-video generates premium videos from text prompts with the highest quality in the Kling 3.0 series.

Technical Specifications
- Supported inputs: Text
- Output: Video

Performance Benchmarks
[embed]

Kling 3.0 Pro Text to Video API Pricing
- Pricing on request

Where to Use Kling 3.0 Pro Text to Video

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

Create professional AI videos from text prompts, including dynamic cinematic clips with controlled scene composition, lighting, and motion.

Use it for multi-shot storytelling, where a single prompt can produce distinct cinematic cuts and structured shot sequences.

Use it for synchronized audio-video generation, including native audio and lip-sync in multiple languages.

It is also documented for ad, social media, e-commerce, and film-production video creation.

How to use Kling 3.0 Pro Text to Video API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to klingai/video-v3-pro-text-to-video.

import requests, time

headers = {"Authorization": "Bearer " + AIMLAPI_KEY}
job = requests.post(
    "https://api.aimlapi.com/v2/video/generations",
    headers=headers,
    json={
      "model": "klingai/video-v3-pro-text-to-video",
      "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/video-v3-pro-text-to-video",
    "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/video-v3-pro-text-to-video","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.