AI Video Editing API — Restyle, Extend, Reframe, and Clip

Six Ways to Edit an Existing Video

AI video editing is broader than trimming. Muapi covers instruction edits that change the visual world, extension models that continue a shot, reframing tools that adapt aspect ratio, motion-control tools, captioning and clipping utilities, and translation or watermark-removal workflows.

Every tool uses the same broad integration pattern: provide a public video URL or upload a file, pass the fields required by the selected model, receive a request ID, and poll for the resulting video.

Key Capabilities

Video Editing Tool Comparison

Input fields vary by tool. Check the selected model's Playground schema before sending a production request.

How to Call a Video Editing Model

1. Host the source video. Upload through POST /api/v1/upload_file or use a publicly reachable video URL.
2. Choose the edit operation. Select an instruction, extension, reframe, motion-control, caption, clipping, translation, or cleanup tool.
3. Submit the request. Call POST /api/v1/{model-slug} with video_url, prompt, and the model-specific fields.
4. Poll and download. Poll GET /api/v1/predictions/{request_id}/result until completed, then persist the output.

curl -X POST https://api.muapi.ai/api/v1/runway-aleph-v2v \
  -H "Content-Type: application/json" \
  -H "x-api-key: YOUR_API_KEY" \
  -d '{
    "video_url": "https://example.com/input.mp4",
    "prompt": "turn the daytime street scene into a rainy night scene"
  }'

import requests

response = requests.post(
    "https://api.muapi.ai/api/v1/runway-aleph-v2v",
    headers={"x-api-key": "YOUR_API_KEY"},
    json={
        "video_url": "https://example.com/input.mp4",
        "prompt": "turn the daytime street scene into a rainy night scene",
    },
)
request_id = response.json()["request_id"]

result = requests.get(
    f"https://api.muapi.ai/api/v1/predictions/{request_id}/result",
    headers={"x-api-key": "YOUR_API_KEY"},
)
print(result.json())

Frequently Asked Questions