One long video,
a dozen clips an agent already cut and captioned
A podcast, webinar or long-form video usually gets published once and then sits there. The best five minutes of it could be ten separate clips feeding social channels for weeks. Our agent finds the strongest moments in long-form video and cuts them into captioned, platform-ready clips. It chapters the full version too, so viewers jump straight to what they want.
A library of good moments nobody cuts out
A podcast episode, webinar or long recorded session gets published once, usually to one platform. Inside it are dozens of genuinely shareable moments, a strong answer, a clear story, a quotable line, that never get extracted. Pulling them out by hand means someone watching the whole thing with an editor’s eye. That does not scale past a handful of episodes a month.
Navigation is the second cost. A long video with no chapters means a viewer who wants one specific part has to scrub through the whole thing. A lot of potential viewers just do not bother, which caps how much value the original long-form content actually delivers.
Then there is the opportunity cost in social distribution, where short clips are what actually get discovered and shared. A show that only exists as long-form video stays invisible to exactly the audience that would find it through a good clip.
How the agent finds and cuts them
It processes a long-form video’s transcript to find moments likely to work as standalone clips: a strong claim, a clean story arc, a quotable line. It ranks candidates by the kind of content signal that tends to perform on social. For the top candidates, it cuts the clip and burns in captions in your brand style. It exports in the aspect ratios each platform needs: Reels, Shorts, a square feed post.
For the full-length video, it generates chapter markers, so viewers who want one specific part of a podcast or webinar can jump straight there. That also helps the original video pick up more total watch time, from people finding the part relevant to them. For shows running on a regular schedule, the whole process runs as a batch each time a new episode publishes.
It typically connects to your podcast or video hosting platform for the source file, and to YouTube, Instagram or TikTok for publishing the cut clips.
What stays a human call
Final selection of which clips actually publish is a human step. The agent ranks by content signal, but cannot judge everything that matters: how a line sounds out of context, or whether a moment reflects well on a guest. Chapter titles, editorial framing, and the caption text that goes with a clip on social are set or approved by your team.
Safeguards built in
Every clip is logged against its source timestamp in the original video, so a reviewer can always check it against the full context before publishing. Nothing publishes without the review step. Any clip involving a guest or third party gets flagged for an extra check, so it does not misrepresent what they actually said.
Before it runs unattended, we test it against a sample of your own episodes so your team sees exactly what it would have cut. Every build ships with a short written runbook, so your team can pause it, adjust a threshold, or roll it back without waiting on us. The running-cost estimate below is a starting budget you set, with an alert before it is crossed.
Price and timeline
| Option | Price | What it covers | Timeline |
|---|---|---|---|
| Single automation | from $700 | Transcript-based detection of strong, clippable moments | 5 to 10 days |
| Department package | from $2,500 | video clipping, chaptering and caption pipelines across your content team | 2 to 4 weeks |
Running cost is usually $10 to $80 a month in model usage depending on volume, with a budget cap set before launch.
Related
Pair this with subtitles and captions pipeline if captioning needs to run as a broader service beyond clips. Thumbnail generation and testing gives each clip a tested cover image. For the full source video’s ad-side repurposing, see video ad variants from one source video. The full package breakdown is on the AI agents service page and the performance marketing service page. For a real build of a short-form clipping pipeline, see the AI Reels editor case study and the AI video content pipeline case study.
Ready to get more than one publish out of your next long-form video? Get in touch and we will run a batch on a recent episode in the first call.
Tired of doing this by hand? We can take the whole routine off your team, not only this step: Routine takeover, from $400 →
FAQ
How much does video chaptering and clipping cost?
From $700 to set up the pipeline for one show or video format, live in 5 to 10 days. Running cost scales with how many episodes or videos you process per month.
How does it decide which moments to clip?
It analyzes the transcript for signals that tend to perform: a strong claim, a clear story beat, a quotable line. It ranks candidates, and a person makes the final call on which to publish.
Does it work for any kind of long-form video?
Podcasts, webinars, interviews and recorded presentations all work well. Content without clear spoken structure, like a music performance, is a different use case.
Can it chapter the full video without clipping it?
Yes. Chaptering and clipping can run independently if you only need one of the two, for example chaptering an internal training library without publishing public clips.
Does a person review clips before they go out?
Yes, by default. Context that reads fine in a full conversation can look different cut out of context, and that judgment call stays with a person.