# google/veo-3/text-to-video

> The most advanced AI video generation model in the world is Google’s Veo 3, which now comes with sound on.

## Overview

- **Endpoint**: `https://api.shortapi.ai/api/v1/job/create`
- **Model ID**: `google/veo-3/text-to-video`
- **Category**: text-to-video
- **Kind**: inference

## Pricing

The pricing for this model is as follows: in Quality mode, the rate is $0.16/sec without audio and $0.32/sec with audio; in Fast mode, the rate is $0.08/sec without audio and $0.12/sec with audio.

For more details, please check our pricing page.

## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.

### Input Schema

The API accepts the following input parameters:

- **`mode`** (`string`, _required_):
  Video generation mode
  - Default: `fast`
  - Options: "fast", "quality"

- **`prompt`** (`string`, _required_):
  Positive text prompt
  - Examples: "An action shot of a black lab swimming..."

- **`negative_prompt`** (`string`, _optional_):
  Negative text prompt

- **`duration`** (`string`, _required_):
  Video Length, unit: s (seconds)
  - Default: `8`
  - Options: "4", "6", "8"

- **`aspect_ratio`** (`string`, _optional_):
  The aspect ratio of the generated video frame (width:height)
  - Default: `16:9`
  - Options: "16:9", "9:16"

- **`resolution`** (`string`, _optional_):
  Output video resolution
  - Default: `720p`
  - Options: "720p", "1080p"

- **`generate_audio`** (`bool`, _required_):
  Whether to generate original audio for the video
  - Default: `false`
  - Options: "true", "false"

- **`expand_prompt`** (`bool`, _optional_):
  Whether to automatically expand and enrich the input prompt to generate more detailed and expressive video content
  - Default: `false`
  - Options: "true", "false"

### Output Schema

The API returns a JSON response with a `job_id` for tracking the request status.

**Create Job Response:**
```json
{
  "code": 0,
  "data": {
    "amount": "0.02",
    "job_id": "<JOB_ID>"
  }
}
```

**Query Job Result (when status is 2, meaning succeeded):**
```json
{
  "code": 0,
  "data": {
    "status": 2,
    "result": {
      "videos": [{ "url": "https://..." }]
    }
  }
}
```

## Use Example

To use this model, make an HTTP POST request to the API endpoint, then poll for results using the returned `job_id`.

### Bash (cURL)
```bash
# Step 1: Create a job
response=$(curl --request POST \
  --url https://api.shortapi.ai/api/v1/job/create \
  --header "Authorization: Bearer $SHORTAPI_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "model": "google/veo-3/text-to-video",
  "args": {
    "mode": "quality",
    "prompt": "Majestic golden dragon soaring through floating islands above a sea of clouds. Sunlight breaking through the clouds (god rays), scales shimmering with metallic luster. Epic scale, grand atmosphere, Studio Ghibli meets Unreal Engine 5 style, fluid wing movements, breathtaking aerial view.",
    "duration": "8",
    "generate_audio": true
  },
  "callback_url": "CALLBACK_URL"
}')
JOB_ID=$(echo "$response" | grep -o '"job_id": *"[^"]*"' | sed 's/"job_id": *//; s/"//g')

# Step 2: Poll for results
curl --request GET \
  --url "https://api.shortapi.ai/api/v1/job/query?id=$JOB_ID" \
  --header "Authorization: Bearer $SHORTAPI_KEY"
```

### JavaScript (Fetch API)
```javascript
// Step 1: Create a job
const response = await fetch(`https://api.shortapi.ai/api/v1/job/create`, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${SHORTAPI_KEY}`,
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "google/veo-3/text-to-video",
    "args": {
      "mode": "quality",
      "prompt": "Majestic golden dragon soaring through floating islands above a sea of clouds. Sunlight breaking through the clouds (god rays), scales shimmering with metallic luster. Epic scale, grand atmosphere, Studio Ghibli meets Unreal Engine 5 style, fluid wing movements, breathtaking aerial view.",
      "duration": "8",
      "generate_audio": true
    },
    "callback_url": "CALLBACK_URL"
})
});
const data = await response.json();
const JOB_ID = data.job_id;

// Step 2: Poll for results
const result = await fetch(`https://api.shortapi.ai/api/v1/job/query?id=${JOB_ID}`, {
  method: "GET",
  headers: {
    "Authorization": `Bearer ${SHORTAPI_KEY}`
  }
});
const resultData = await result.json();
console.log(resultData);
```

### Python (Requests)
```python
import requests

# Step 1: Create a job
url = "https://api.shortapi.ai/api/v1/job/create"
payload = {
  "model": "google/veo-3/text-to-video",
  "args": {
    "mode": "quality",
    "prompt": "Majestic golden dragon soaring through floating islands above a sea of clouds. Sunlight breaking through the clouds (god rays), scales shimmering with metallic luster. Epic scale, grand atmosphere, Studio Ghibli meets Unreal Engine 5 style, fluid wing movements, breathtaking aerial view.",
    "duration": "8",
    "generate_audio": True
  },
  "callback_url": "CALLBACK_URL"
}
headers = {
    "Authorization": f"Bearer {SHORTAPI_KEY}",
    "Content-Type": "application/json"
}

response = requests.post(url, headers=headers, json=payload)
data = response.json()
JOB_ID = data.get("job_id")

# Step 2: Poll for results
result_url = f"https://api.shortapi.ai/api/v1/job/query?id={JOB_ID}"
result = requests.get(result_url, headers={"Authorization": f"Bearer {SHORTAPI_KEY}"})
print(result.json())
```