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Clipzy ML Engine is a REST API that uses AI to analyze video footage, extract cinematic style, and produce polished output automatically. You upload a video, create a processing job, and receive a styled output video along with a structured Style DNA JSON file describing the detected style. Use Clipzy when you need to automate video post-production at scale—without manual editing.

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Who it’s for

Clipzy is designed for developers and platform teams that need to:
  • Process large volumes of video programmatically
  • Apply a consistent visual and audio style across many clips
  • Integrate AI video analysis into existing workflows via REST

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Key capabilities

AI video analysis

Detects cuts, motion patterns, color grading, audio beats, and speech to build a complete picture of your footage.

Style extraction

Extracts a reusable Style DNA from any video—capturing pacing, color, transitions, and audio characteristics.

Style application

Applies an extracted style to new footage. Supply a template video or let Clipzy infer style automatically.

Async job queue

Jobs run asynchronously in a managed queue. Poll for status or receive results via webhook when processing finishes.

Webhooks

Register a webhook_url on upload or job creation to receive a POST notification when your job completes or fails.

Supported formats

Accepts MP4, MOV, AVI, MKV, and WebM input. Output is delivered as an optimized MP4.

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Next steps

Quick start

Upload a video, create a job, and retrieve results using curl.

Authentication

Learn how access is controlled and how to pass credentials.

Core concepts

Understand Style DNA, the processing pipeline, and job lifecycle.

API reference

Browse all endpoints, request formats, and response schemas.