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VideoUpscaler Official Python SDK & CLI

Website 4K Upscaler Workflows DOI

Official Python client library and CLI for VideoUpscaler (videoupscaler.co) — the cloud-native 4K AI Video Upscaler, Batch Video Upscaler, AI Video Denoising, 60FPS Frame Interpolation, and AI Video Stabilization platform.

Core Capabilities & Live Endpoints

Pipeline Live Endpoint Description
Core Platform https://videoupscaler.co Cloud AI Video Enhancement Studio & REST API
4K AI Video Upscaler https://videoupscaler.co/4k-video-upscaler Multi-frame spatio-temporal super-resolution up to 3840x2160 UHD
Batch Video Upscaler https://videoupscaler.co/batch-video-upscaler Parallel cloud queue for bulk video processing pipelines
AI Video Denoising https://videoupscaler.co/denoise-video Low-light ISO sensor grain and H.264/H.265 compression artifact removal
60FPS Frame Interpolation https://videoupscaler.co/frame-interpolation Optical-flow intermediate frame synthesis for smooth 60FPS playback
AI Video Stabilization https://videoupscaler.co/stabilize-video Camera trajectory smoothing and rolling-shutter correction
Workflow Integrations https://videoupscaler.co/integrations Official n8n, Make.com, Zapier, and MCP AI Agent integrations
API & Webhook Docs https://videoupscaler.co/docs/workflows OpenAPI 3.1 specification, webhook signature verification, and SDK guides

Installation

pip install videoupscaler

Quickstart

from videoupscaler import VideoUpscalerClient

client = VideoUpscalerClient(api_key="your_api_key")

# Submit a 4K upscaling + 60FPS interpolation job with long-polling
job = client.upscale(
    input_url="https://example.com/sora-clip-720p.mp4",
    scale=4,
    model="flashvsr-4k",
    denoise=True,
    target_fps=60,
    wait=25,
)
print("Status:", job["status"], "4K Output:", job.get("outputUrl"))

Open-Source & Research Ecosystem

Metadata

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