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The main function of the Midjourney Shorten API is to connect to Midjourney’s official /shorten (Prompt Analysis) command, analyze a given prompt, identify the highest-weighted keywords, and generate 5 more concise candidate prompts. This API is especially suitable for:
  • Slimming down long prompts before calling imagine to improve image relevance;
  • Reverse-engineering Midjourney’s token weighting through candidate prompts, facilitating prompt engineering;
  • Integrating with automated pipelines to merge and simplify keywords from user input prompts.
This document provides detailed instructions for integrating the Midjourney Shorten API, helping you easily incorporate this API.

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Application Process

To use Midjourney Shorten API, first open the Ace Data Cloud Console and copy your API Token. If you are not logged in, you will be redirected to sign in and brought back to this page automatically. A single API Token works across every service on the platform — no need to subscribe per service. New accounts receive free starter credit; when it runs low you can top up your shared balance in the console.
📘 Full documentation: Midjourney Shorten API →

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Request Example

We will demonstrate how to analyze and simplify a relatively long prompt using this API.

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Setting Request Headers and Body

Request Headers include:
  • accept: specifies that the response should be in JSON format, set to application/json.
  • authorization: the API key for calling the API, selectable after application.
Request Body includes:
  • prompt: the prompt text to be analyzed and simplified; English input is recommended.

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Code Examples

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CURL

curl -X POST 'https://api.acedata.cloud/midjourney/shorten' \
-H 'accept: application/json' \
-H 'authorization: Bearer {token}' \
-H 'content-type: application/json' \
-d '{
  "prompt": "a serene mountain lake at sunrise, mist rising from the water, towering pine trees on the shore, golden hour lighting, ultra detailed, cinematic, 35mm film photography style, masterpiece --ar 16:9 --v 6"
}'

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Python

import requests

url = "https://api.acedata.cloud/midjourney/shorten"

headers = {
    "accept": "application/json",
    "authorization": "Bearer {token}",
    "content-type": "application/json",
}

payload = {
    "prompt": (
        "a serene mountain lake at sunrise, mist rising from the water, "
        "towering pine trees on the shore, golden hour lighting, ultra "
        "detailed, cinematic, 35mm film photography style, masterpiece "
        "--ar 16:9 --v 6"
    )
}

response = requests.post(url, json=payload, headers=headers)
print(response.json())

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Response Example

Upon a successful request, the API returns up to 5 simplified candidate prompts. For example: 
{
  "prompts": [
    "a serene mountain lake at sunrise, mist rising from the water, golden hour lighting --ar 16:9",
    "mountain lake sunrise with mist, golden light --ar 16:9 --v 6",
    "tranquil alpine lake, dawn mist, warm golden tones, cinematic --ar 16:9",
    "sunrise over a misty mountain lake, rich golden hour photography --ar 16:9 --style raw",
    "misty lake at dawn, mountains in background, golden sunrise --ar 16:9"
  ]
}
As shown, the result contains a prompts field with several simplified candidate prompts, each retaining the highest-weighted keywords from Midjourney’s internal analysis while removing duplicate or redundant descriptions.

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Error Handling

When calling the API, if an error occurs, the API returns corresponding error codes and messages. For example:
  • 400 token_mismatched: Bad request, possibly due to missing or invalid parameters.
  • 400 api_not_implemented: Bad request, possibly due to missing or invalid parameters.
  • 401 invalid_token: Unauthorized, invalid or missing authorization token.
  • 429 too_many_requests: Too many requests, you have exceeded the rate limit.
  • 500 api_error: Internal server error, something went wrong on the server.

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Error Response Example

{
  "success": false,
  "error": {
    "code": "api_error",
    "message": "fetch failed"
  },
  "trace_id": "2cf86e86-22a4-46e1-ac2f-032c0f2a4e89"
}

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Conclusion

This document has introduced how to use the Midjourney Shorten API to analyze and simplify prompts. It is recommended to combine this API with the Midjourney Imagine API: first use the Shorten API to obtain multiple simplified candidates, then select the most suitable one to pass to the Imagine API for image generation. If you have any questions, please feel free to contact our technical support team.