- Quick Start
- API Reference
- Search / Reader Product
- Web Reader API
- Web Search API
- Document OCR Parsing API
- AI Models API
- Base Url
- Configuration Guide for Various Plugins
- System interface
- List models
- OpenAI format (supports major original models)
- Chat (Response)
- ChatGPT Interface
- Audio
- Chat
- Create chat-based image recognition (non-streaming)
- Create chat-based image recognition (streaming)
- Create chat-based image recognition (streaming) best64
- Official N test
- Create structured output
- Control the effort level of the inference model
- Create chat function call
- deepseek-ocr recognition
- Create chat completion (non-stream)
- Completions
- Image
- Audio
- Embedding
- Anthropic format
- Google Gemini interface
- Native format
- Text-to-image + control over aspect ratio + clarity
- Generate image
- Text generation
- Text generation - stream
- Text generation + reasoning - stream
- Image generation
- Formatted output
- Function call
- Document understanding
- URL context [native format]
- Code execution
- Video understanding
- URL context
- Video understanding - url [native format]
- Imagen 4
- Audio understanding
- Embeddings
- Chat
- Edit image
- Image-to-image Base64 request method
- Multi-image fusion slice generation with gemini-3-pro-image-preview, controlling aspect ratio and clarity
- Image editing
- Single image gemini-3-pro-image-preview, controlling aspect ratio and clarity.
- Image generation（ gemini-2.5-flash-image）
- Image generation gemini-2.5-flash-image, controlling aspect ratio.
- Image understanding
- Image-to-image URL request returns URL request format OpenAI
- Native format
- NanoBanana
- Midjourney format
- Doubao - Video Generation
- Doubao - Painting
- Rerank Reordering Model
- Text-to-Music Suno
- Task Submission
- Query Interface
- Video Model
- FAQ
- Change Log
Query Single Task
Developing
Search/Read product
https://api.dataeyes.ai
Search/Read product
https://api.dataeyes.ai
GET
/suno/fetch/{task_id}
Request
Path Params
Header Params
Responses
🟢200成功
application/json
Body
Example
{
"code": "success",
"data": "47443cc1-4902-42ae-ae7f-72a9900544e9",
"message": ""
}