How it works
How long does it take to clip a video with AI?
Short answer
Usually a few minutes to around real-time. A 60-minute podcast typically produces finished clips in 5–15 minutes; a 10-minute video is often done in under 3. The variables are transcription speed, how many clips are rendered, and queue depth at the time you submit.
The detail
Time splits across four stages, and they don't scale the same way. Fetching or uploading the source is bandwidth-bound. Transcription is roughly proportional to duration but heavily parallelised. Scoring the transcript is fast — seconds to a couple of minutes, mostly model latency. Rendering is where the time goes, because each clip is a separate video encode with captions composited on.
That last point explains the counterintuitive part: ten clips from a short video can take longer than three clips from a long one. Render count drives the tail, not source length.
Compare against the manual baseline before judging the wait. Doing the same work by hand — watch, mark, cut, reframe, caption, title — is realistically 15–25 minutes per clip. Even a slow automated run is an order of magnitude faster, and it runs while you do something else.
Follow-up questions
Why is my video taking longer than usual?
Usually queue depth or clip count. Long sources with many requested clips sit behind more render work than a short source with three.
Can I close the tab while it processes?
In most tools yes — processing runs server-side and you're notified when it's done. Nova emails you and keeps the clips in your library.
Is faster processing worse quality?
Not inherently, but a tool that returns clips almost instantly on a long video probably skipped model-based scoring in favour of a keyword heuristic.
Also asked as: how fast is AI video clipping · how long does Opus Clip take · AI clipping processing time