The Architecture Behind an AI Video Processing Pipeline
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Building a video processing service that handles everything from YouTube download to AI-scored, captioned, face-tracked vertical clips involves a lot of moving parts. This post is a straight-up architecture breakdown — the components, how they talk to each other, and the design decisions that actually matter at scale. This is the architecture running ClipSpeedAI. System Overview At the highest level, the pipeline is: User submits YouTube URL → Download job queued → Video