"Google Veo3 API Guide: Generate AI Videos with Audio in 2026"

import requests
import time
import base64

API_KEY = "your-crazyrouter-key"
BASE_URL = "https://api.crazyrouter.com"

# Step 1: Submit video generation task
response = requests.post(
    f"{BASE_URL}/v1/videos/generations",
    headers={
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json"
    },
    json={
        "model": "veo3",
        "prompt": "A developer sitting at a desk, typing on a mechanical keyboard. The camera slowly zooms in. The developer says 'This API is incredible' with genuine excitement. Ambient office sounds in the background.",
        "size": "1920x1080",
        "duration": 6
    }
)

task = response.json()
task_id = task["id"]
print(f"Task submitted: {task_id}")

# Step 2: Poll for completion
while True:
    status = requests.get(
        f"{BASE_URL}/v1/videos/generations/{task_id}",
        headers={"Authorization": f"Bearer {API_KEY}"}
    ).json()

    if status["status"] == "completed":
        video_url = status["data"][0]["url"]
        print(f"Video ready: {video_url}")
        break
    elif status["status"] == "failed":
        print(f"Generation failed: {status.get('error')}")
        break

    print(f"Status: {status['status']}... waiting")
    time.sleep(10)

const API_KEY = 'your-crazyrouter-key';
const BASE_URL = 'https://api.crazyrouter.com';

async function generateVideo() {
  // Submit generation task
  const response = await fetch(`${BASE_URL}/v1/videos/generations`, {
    method: 'POST',
    headers: {
      'Authorization': `Bearer ${API_KEY}`,
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      model: 'veo3',
      prompt: 'A cat playing piano in a jazz club, dim lighting, audience clapping. The cat meows rhythmically along with the music.',
      size: '1920x1080',
      duration: 6
    })
  });

  const task = await response.json();
  console.log(`Task submitted: ${task.id}`);

  // Poll for completion
  while (true) {
    const status = await fetch(
      `${BASE_URL}/v1/videos/generations/${task.id}`,
      { headers: { 'Authorization': `Bearer ${API_KEY}` } }
    ).then(r => r.json());

    if (status.status === 'completed') {
      console.log(`Video ready: ${status.data[0].url}`);
      return status.data[0].url;
    }
    if (status.status === 'failed') {
      throw new Error(status.error);
    }

    console.log(`Status: ${status.status}...`);
    await new Promise(r => setTimeout(r, 10000));
  }
}

generateVideo().catch(console.error);

# Submit video generation
curl -X POST https://api.crazyrouter.com/v1/videos/generations \
  -H "Authorization: Bearer your-crazyrouter-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "veo3",
    "prompt": "Aerial drone shot of a futuristic city at sunset, flying cars, neon lights reflecting off glass buildings. Ambient electronic music plays softly.",
    "size": "1920x1080",
    "duration": 6
  }'

# Check status (replace TASK_ID)
curl https://api.crazyrouter.com/v1/videos/generations/TASK_ID \
  -H "Authorization: Bearer your-crazyrouter-key"

"A waterfall in a tropical forest. The sound of rushing water grows louder 
as the camera approaches. Birds chirping in the background."

"Slow dolly shot moving through a library. Camera tracks left to right 
past bookshelves. Soft ambient music."

"A chef in a kitchen presents a dish to the camera and says 
'Today we're making the perfect risotto' in a warm, confident voice."

"Cinematic, warm color grading. Golden hour lighting. 
Shallow depth of field. Film grain texture."

prompt = """
Product showcase: A sleek wireless headphone on a marble surface. 
Camera orbits slowly around the product. 
A narrator says 'Experience sound like never before. 
Introducing the AirPods Max 3.' 
Soft electronic background music.
"""

prompt = """
Vertical video (9:16). A person unboxing a mystery package. 
They open it with excitement and say 'No way!' 
Quick cuts, energetic pacing. Upbeat pop music.
"""

prompt = """
Educational animation showing how neural networks work. 
Nodes light up as data flows through layers. 
A calm narrator explains 'Each neuron processes information 
and passes it to the next layer.'
"""