With the mechanical work automated, a finished clip takes two to five minutes, and nearly all of that is deciding which moment to use. Doing it manually in an editor takes fifteen to thirty minutes for the same result, which is the entire reason clipping became viable as paid work.
Where the time goes
- →Finding the moment: 60 to 90 seconds, and this is the part worth spending on.
- →Cutting to clean sentence boundaries: seconds, if the tool works from word-level timings.
- →Captions: seconds automated, five to ten minutes by hand.
- →Reframing to vertical: seconds automated, and fiddly manually with two people on screen.
- →Thumbnail and caption copy: a minute.
- →Posting and submitting: a minute per platform, less if scheduled in a batch.
Why reading beats watching
The biggest single speed gain is finding moments in a transcript rather than by scrubbing a timeline. Reading is several times faster than watching, and you can skim two hours of speech in ten minutes to mark the passages worth cutting. Everything after that is execution.
Batching is the other multiplier
Doing one clip end to end, then the next, wastes the setup each time. Mark ten moments, cut all ten, caption all ten, then schedule all ten. The same ten clips take roughly half the time in batches that they do sequentially.
A realistic hourly rate of output
Eight to fifteen finished clips an hour is achievable with automation and batching, from source you have already skimmed. That figure is what makes the economics work: at a competitive campaign rate, an hour of clipping can be worth considerably more than an hour of freelance editing, provided the clips land.
Cut, caption and schedule in one pass.
Batching guide