What is AI video clipping (and how does it work)?

The problem it solves

Manually clipping a long video is slow: you scrub the timeline, find good moments, cut them, crop to vertical, add captions, and export each one. AI clipping compresses that from hours to minutes by automating each step.

How it works, step by step

Under the hood, an AI clipping pipeline runs four stages:

• Transcription: speech-to-text converts the audio into a timed transcript (99+ languages with modern models).
• Moment detection: a language model scores every segment for virality — hooks, emotional arcs, payoffs — and picks the best.
• Reframing: the clip is cropped to 9:16 with face or active-speaker tracking so the subject stays centered.
• Captioning: word-by-word animated captions are generated and burned onto the clip.

Where AI helps — and where you still decide

AI is excellent at the mechanical work and surprisingly good at spotting strong moments. You still bring judgment: which clips fit your brand, what hook lands, when to post. The best workflow treats AI as a tireless first-pass editor that hands you finished drafts.

Nova runs this exact pipeline — transcription, GPT-grade moment detection, active-speaker reframing, and animated captions — from a single pasted link. See how it compares to other tools, or try it free.