Video Edit API: AI Video Editing

Video Edit API Reference

Endpoint

POST https://api.muapi.ai/api/v1/happy-horse-1.1-video-edit-1080p

Submit a job with your MuApi API key in the x-api-key header, then poll https://api.muapi.ai/api/v1/predictions/{request_id}/result until status is completed.

Parameters

Name	Type	Required	Description
prompt	string	Yes	Edit instruction describing the change to apply to the video.
video_url	string	Yes	Source video URL. MP4/MOV (H.264 recommended), 3-60s, <=100 MB, longer side <=2160px, shorter >=320px, frame rate >8 fps.
images_list	array	No	Optional 0-5 reference image URLs to guide the edit.
audio_setting	string	No	Audio strategy: 'auto' lets the model decide, 'origin' preserves source audio.Options: auto, originDefault: "auto"
seed	int	No	Optional random seed for reproducibility (0-2147483647).Default: 0

cURL example

REQUEST_ID=$(curl -s -X POST https://api.muapi.ai/api/v1/happy-horse-1.1-video-edit-1080p \
  -H "x-api-key: $MUAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"<prompt>","video_url":"https://example.com/your-video_url"}' | jq -r .request_id)

curl -s https://api.muapi.ai/api/v1/predictions/$REQUEST_ID/result -H "x-api-key: $MUAPI_API_KEY"

Python example

import os, time, requests

API = "https://api.muapi.ai/api/v1"
headers = {"x-api-key": os.environ["MUAPI_API_KEY"]}

r = requests.post(f"{API}/happy-horse-1.1-video-edit-1080p", headers=headers, json={"prompt":"<prompt>","video_url":"https://example.com/your-video_url"})
request_id = r.json()["request_id"]

while True:
    res = requests.get(f"{API}/predictions/{request_id}/result", headers=headers).json()
    if res["status"] == "completed":
        print(res["outputs"]); break
    if res["status"] == "failed":
        raise RuntimeError(res.get("error"))
    time.sleep(3)

Full docs and agent/MCP integration: llms.txt. Get an API key at muapi.ai/access-keys.