Capability overview
| Task | Manual captioning | Cliperate |
|---|---|---|
| Timing | Line up each line by ear | Word-level timestamps from the transcript |
| Style | One look, applied once | Editable templates: font, color, animation |
| Corrections | Re-time after every edit | Recomputed automatically when a clip is trimmed |
| Where it happens | A separate editing pass | Built into the same export as the clip |
First-party product data from the Cliperate repository and hosted application, verified July 27, 2026.
Why word-level timing matters more than it seems to
A caption that's off by even a third of a second reads as sloppy, and hand-timing captions line by line is exactly the kind of repetitive work that's easy to get slightly wrong on a deadline. Cliperate captions come from the same word-level transcript used to pick the clip in the first place, so the timing is already correct before anything gets styled.
That also means trimming or re-cutting a clip doesn't break the captions — the timing recalculates against the new clip boundaries instead of needing to be redone by hand.
Templates instead of a single default look
Caption style is a template choice, not a fixed setting: font, color, and animation can be adjusted before export, and different templates suit different content — a punchy word-by-word highlight reads differently than a steady line-by-line subtitle.
The goal is a caption style that matches the video rather than one look applied to everything a channel publishes.
- Word-level timestamps, not line-level guesses
- Multiple caption templates with adjustable fonts and colors
- Captions recompute automatically when a clip gets trimmed
- Generated as part of the clipping export, not a separate tool
Captions are doing more work than viewers might notice
A large share of social video gets watched muted, especially in feeds people scroll through in public or with notifications off, which makes captions closer to a requirement than a nice-to-have for anything meant to be watched past the first few seconds.
They also help viewers who aren't native speakers of the video's language follow along, and search and recommendation systems on some platforms can index caption text, which is a smaller but real reason to have accurate ones.
Frequently asked questions
Are captions generated automatically, or do I have to add them separately?
Automatically, from the same transcript used to select the clip. There's no separate captioning step required.
Can I change the caption style?
Yes. Caption templates control font, color, and animation, and can be adjusted before you export a clip.
What happens to captions if I trim a clip after generating it?
Caption timing recalculates against the new clip boundaries, so trimming doesn't require re-timing captions by hand.
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