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

Overview

What is Kling 3.0 Standard Text to Video API?

Kling 3.0 Standard text-to-video generates high-quality videos from text prompts with improved temporal consistency.

Technical Specifications
- Supported inputs: Text
- Output: Video

Performance Benchmarks
[embed]

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

Where to Use Kling 3.0 Standard 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

Social media content is a documented use case for this model, including short-form videos for TikTok, Instagram, and YouTube Shorts.

Brand and marketing teams are documented as using it for concept development and campaign production.

It is also documented for concept visualization, where creative ideas and moods are brought to life from text descriptions.

Storytelling is another documented use case, with the model used to build narrative scenes from detailed text descriptions.

How to use Kling 3.0 Standard Text to Video API

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