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⚠️ This documentation is for legacy custom API, not recommendedPlease see new documentation: Veo-3.1 Quick StartNew API uses OpenAI-compatible format with lower prices and more features.

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Three Steps to Generate Video

1

Submit video generation task

Call the submit interface using your API key
curl -X POST "https://api.laozhang.ai/veo/v1/api/video/submit" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer your-api-key" \
  -d '{
    "prompt": "An orange kitten walking slowly in a sunny garden",
    "model": "veo3"
  }'
2

Record the returned task ID

System will return task information
{
  "success": true,
  "data": {
    "taskId": "veo3:b873872e-7358-4c2f-8d55-bd23f000e14e",
    "pollingUrl": "https://asyncdata.net/source/veo3:b873872e-7358-4c2f-8d55-bd23f000e14e",
    "status": "processing",
    "message": "Task submitted successfully"
  }
}
3

Query generation result

Query status using task ID
curl -X GET "https://api.laozhang.ai/veo/v1/api/video/status/veo3:b873872e-7358-4c2f-8d55-bd23f000e14e" \
  -H "Authorization: Bearer your-api-key"

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Authentication Method

All API requests need to include a valid Bearer Token in the request header: 
Authorization: Bearer your-api-key
Security Reminder: Do not expose API keys in client-side code. It’s recommended to store them in server-side environment variables.

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Basic Request Examples

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Simple Text Generation

curl -X POST "https://api.laozhang.ai/veo/v1/api/video/submit" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer your-api-key" \
  -d '{
    "prompt": "A cat walking in the rainy night"
  }'

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Generation with Reference Image

curl -X POST "https://api.laozhang.ai/veo/v1/api/video/submit" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer your-api-key" \
  -d '{
    "prompt": "A cat walking in the rainy night, about to catch a mouse",
    "model": "veo3",
    "images": ["https://example.com/cat.png"],
    "enhance_prompt": true
  }'

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Handling Responses

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Task Submitted Successfully

{
  "success": true,
  "data": {
    "taskId": "veo3:b873872e-7358-4c2f-8d55-bd23f000e14e",
    "pollingUrl": "https://asyncdata.net/source/veo3:b873872e-7358-4c2f-8d55-bd23f000e14e",
    "status": "processing",
    "message": "Task submitted successfully"
  }
}

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Video Generation Completed

{
  "success": true,
  "data": {
    "taskId": "veo3:b873872e-7358-4c2f-8d55-bd23f000e14e",
    "status": "completed",
    "result": {
      "video_url": "https://filesystem.site/cdn/20250705/BFvep0SngrqIrN3yDSFChIXAz2mU0M.mp4",
      "video_media_id": "CAUSJGRlNzE5MzRhLTljMDgtNDE1Mi05NWVlLThjOTlhMTZlODUyYxokY2U4ZjNiYmUtNGFmZS00NTExLWI4ZDEtMGM1MTFkM2ZlNGIxIgNDQUUqJDJlNTY3OWUyLWQ2YmQtNGVlZS05ZTUwLWMyMWE0MWU3ZDYzNw"
    }
  }
}

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Polling Recommendations

Recommended polling strategy:
  • Polling interval: 10-15 seconds
  • Maximum wait time: 30 minutes
  • Recommended to implement exponential backoff strategy

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Next Steps

API Reference

View complete API documentation

Code Examples

View examples in more programming languages