OpusClip leverages large language models and computer vision to perform semantic analysis of video content, scoring segments by virality potential, topic coherence, and viewer engagement signals. The platform handles automated reframing (smart cropping to 9:16, 1:1, or 16:9), speaker detection for dynamic face-tracking, and AI-generated captions with word-level highlighting. It exposes an API for developers to integrate clipping workflows into their own pipelines, and supports batch processing of video URLs or uploaded files. The underlying model pipeline combines ASR (automatic speech recognition) for transcription, NLP for hook detection, and CV for visual composition.