Otter.ai's job is the long recording as notes: a meeting, a podcast table, a talk, searchable afterwards. The job this page is for is the next shape of that same tape — keep-ranges cut out of the hour, each one captioned as a clip you can post. That is a switcher, not a how-to. The cut-then-caption walkthrough already lives on the blog; this URL is which tools run when you leave a notes app for a studio.
The cut, the optional vertical reframe, and the caption burn on the keep — not on the uncut file — are below.
Keep-ranges, not a notes document
trim-a-video is cut_video with one [start, end) segment: the usable stretch, dead air dropped. cut-a-section-out-of-a-video is the same tool with several keep-ranges concatenated, which is how a flubbed line in the middle disappears without a second app.
trim-or-cut-a-video is that pair as one agent instruction. You still pick the moments. The tool does not score the hour for 'virality.'
Shorts from a long source are two decisions
convert-video-to-shorts is the named job when the destination is a vertical feed: pick the keep-ranges, then reframe to 9:16 with edit_video. A landscape meeting recording dropped in unconverted plays letterboxed.
Reframing can crop the edges of a wide table shot. Say whether to hold the speakers or keep more of the room before the export.
Caption the keep, not the hour
add-captions-to-video runs after the in and out are locked. transcribe-and-caption-my-video is the same burn from the agent. Speech-to-text on the uncut file typesets silence, crosstalk and mid-rolls you are about to throw away.
The how-to for a twenty-clip batch from one episode is a blog post. This page does not retell that sequence. It names the two tools the switch uses: cut, then caption.
The mouths in the tape already moved
A meeting or podcast clip is a keep-range from a file you already recorded. Lipsync against a still is a different object and will not rescue a fifty-minute source you refused to trim. Cut the tape. Burn what was said on the keep.
How it works
1. Treat the hour as source
A meeting recording, a podcast episode, a talk. It is not the post.
2. Mark keep-ranges
cut_video: one segment to trim, several segments to skip the middle and concatenate the rest.
3. Reframe if the feed is vertical
convert-video-to-shorts / edit_video at 9:16. Check the crop on a table shot before the charged export.
4. Caption each keep
add_veed_captions on the clipped file. Do not caption the uncut hour and then cut.
Where this lives in Versely
Who this fits
- A recorded meeting that has two or three moments worth posting
- A podcast episode split into short, captioned clips
- A webinar or talk pulled into vertical keeps for Shorts and Reels
- Leaving a notes app when the next deliverable is a video, not a transcript
Frequently asked questions
How does Versely compare to Otter.ai?+
Versely cuts keep-ranges from the long recording (trim-a-video / convert-video-to-shorts) and burns captions on each keep (add-captions-to-video). The hour stays source tape. The post is a clipped, captioned file. Notes-as-text is a different tool on this surface; this page is the cut-then-caption switch.
Does it pick the best moments for me?+
No. cut_video executes the ranges you give it. convert-video-to-shorts is explicit that it does not auto-detect the 'best' parts of a long video. Picking the moment is still the edit.
Should I caption the full recording first?+
No. Lock the in and out, export the range, then burn captions onto that file. Captioning the hour typesets material you will strip.
Where is the batch walkthrough?+
On the blog, as a how-to. This alternatives page is the switcher: which named jobs replace a notes app when the deliverable is a captioned clip.
Other alternatives on Versely
Further reading
Try it inside Versely
The all-in-one AI studio for creators. 60+ models for video, image, voice, music and lipsync, in your browser or on your phone.
Free on the web and on iPhone, one account.
Reviewed September 4, 2026. Facts about Otter.ai on this page are general, publicly known positioning, not pricing or feature claims — see /alternatives for how this page set is scoped. Versely capability links above are pulled from the same live data the rest of versely.studio uses, so they move when the product does.