Name: Kling 2.5 Turbo Pro Text to Video API
Brand: Kling AI

Overview

What is Kling 2.5 Turbo Pro Text to Video API?

Kling 2.5 Turbo Pro generates high-quality videos from text prompts with improved motion and faster processing.

Technical Specifications
- Supported inputs: Text
- Output: Video

Performance Benchmarks
[embed]

Kling 2.5 Turbo Pro Text to Video API Pricing
- Pricing on request

Where to Use Kling 2.5 Turbo 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

Creatively generate short video clips from text prompts for storytelling and cinematic scenes. It is also documented for social-first content such as Instagram, TikTok, and YouTube Shorts.

Use it for marketing and promotional videos where polished visuals and strong brand direction matter. It is also suited to AI sports video generation, including fast action, athlete tracking, and realistic ballistics.

How to use Kling 2.5 Turbo Pro Text to Video API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to klingai/v2.5-turbo/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/v2.5-turbo/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/v2.5-turbo/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/v2.5-turbo/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.