Seedance 2.5 Video Edit (Intl) API: AI Video Editing

Edit and transform videos with Seedance 2.5 Video Edit (Intl) via the Muapi REST API. Pay per generation — no subscription needed.

Tutorial

Seedance 2.5 Video Edit (Intl) API Reference

Endpoint

POST https://api.muapi.ai/api/v1/seedance-2.5-intl-video-edit

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

NameTypeRequiredDescription
promptstringYesInstructions for the edit — lighting, style, weather, environment, or specific elements to change. Automatically prefixed with "Edit the input video."
video_urlstringYesURL of the video to edit. Videos longer than 30s are trimmed to 30s.
images_listarrayNoReference image URLs guiding subject identity or style. Up to 30 images.
audios_listarrayNoReference audio URLs guiding audio generation. Up to 10 files.
durationintNoThe duration of the generated video in seconds.Default: 5
aspect_ratiostringNoAspect ratio of the output video.Options: 16:9, 9:16, 1:1, 4:3, 3:4, 21:9, 9:21Default: "16:9"
generate_audiobooleanNoWhether to generate new audio. If false, the input video's original audio is preserved.Default: true
seedintNoRandom seed for reproducible generation. Use -1 for random.
high_bitratebooleanNoEnable high bitrate mode for better visual fidelity. Produces larger files.Default: false

cURL example

REQUEST_ID=$(curl -s -X POST https://api.muapi.ai/api/v1/seedance-2.5-intl-video-edit \
  -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}/seedance-2.5-intl-video-edit", 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.