Video Upscaler API — Upscale Video to 4K

What is a Video Upscaler API?

A video upscaler API increases a video's resolution and sharpens detail using machine learning instead of simple pixel interpolation. Submit a video URL and a target resolution or scale factor, then receive an upscaled file — useful for archival footage, low-resolution AI-generated clips, screen recordings, or any source that needs a resolution boost before publishing.

Muapi exposes three video upscaling endpoints through the same unified REST pattern used across the platform: one API key, one request-and-poll flow, and billing based on the duration of the input video. The Muapi models target named resolutions; Topaz uses a scale factor.

Key Capabilities

Video Upscaler Model Comparison

AI Video Upscaler Pro charges its per-resolution rate for the first 5 seconds, then the same rate for each additional second. A 10-second 1080p clip costs $0.30 at the current rate.

How to Upscale a Video via API

1. Pick a model. Use the base AI Video Upscaler for cost, Pro for cleaner detail, or Topaz for premium quality.
2. Choose a target. Select 720p, 1080p, 2K, or 4K for the Muapi models, or a 1x, 2x, or 4x scale factor for Topaz.
3. Submit the request. Call POST /api/v1/ai-video-upscaler with video_url, resolution, and optional copy_audio. The Pro and Topaz endpoints use their corresponding model slug and parameters.
4. Poll for completion. Check GET /api/v1/predictions/{request_id}/result until status is completed, then download the upscaled video.

curl -X POST https://api.muapi.ai/api/v1/ai-video-upscaler \
  -H "Content-Type: application/json" \
  -H "x-api-key: YOUR_API_KEY" \
  -d '{
    "video_url": "https://example.com/input.mp4",
    "resolution": "1080p",
    "copy_audio": true
  }'

import requests

response = requests.post(
    "https://api.muapi.ai/api/v1/ai-video-upscaler",
    headers={"x-api-key": "YOUR_API_KEY"},
    json={
        "video_url": "https://example.com/input.mp4",
        "resolution": "1080p",
        "copy_audio": True,
    },
)
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