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Gemini Omni Video Edit API: AI Video Editing

Edit and transform videos with Gemini Omni Video Edit via the Muapi REST API. Pay per generation — no subscription needed.

Gemini Omni Video Edit API Reference

Endpoint

POST https://api.muapi.ai/api/v1/gemini-omni-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
promptstringYesDescribe the edit to apply. Examples: restyle to watercolor, change the season, swap the subject's outfit.
image_urlsarrayNoReference images. 7 image slots available total. Video uses 2 slots; each character_id uses 1 slot. Max 20 MB per image.
video_urlstringNoSource video to edit (max 100 MB, max 30 s). Optional if image_urls are provided.
trim_startnumberNoStart of the clip window to edit, in seconds (>= 0).Default: 0
trim_endnumberNoEnd of the clip window to edit, in seconds. Must be within 10 s of trim_start.Default: 10
durationintNoDuration of the generated video in seconds.Options: 4, 6, 8, 10Default: 8
resolutionstringNoOutput video resolution. 720p and 1080p are the same price; 4K costs more.Options: 720p, 1080p, 4kDefault: "1080p"
aspect_ratiostringNoOutput video aspect ratio.Options: 16:9, 9:16Default: "16:9"
audio_idsarrayNoUp to 3 voice profile IDs returned by the Gemini Omni Audio endpoint.
seedintNoRandom seed (0–2147483647). Fix for reproducibility; results may still vary due to model stochasticity.Default: 0
character_idsarrayNoUp to 3 character IDs from Gemini Omni Character to feature in the video.

cURL example

REQUEST_ID=$(curl -s -X POST https://api.muapi.ai/api/v1/gemini-omni-video-edit \
  -H "x-api-key: $MUAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"<prompt>"}' | 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}/gemini-omni-video-edit", headers=headers, json={"prompt":"<prompt>"})
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.

Gemini Omni Video Edit API: AI Video Editing