One recording,
a transcript, show notes and clips, automatically
A recording sits as a raw audio file until someone finds time to write show notes, pull quotes for social, or cut captions. We build an agent that transcribes it, writes searchable show notes, and flags the moments worth clipping, all within minutes of the session ending.
Why your back catalogue is dead weight
A recording stops, and from that point it just sits there as an audio or video file. Someone eventually needs to write show notes, pull a quote for social, or cut captions, but that time rarely comes soon. By the time anything around the episode gets published, the momentum from the original release has already faded.
Finding one specific moment in an old episode means scrubbing through audio by ear, unless someone happened to write detailed notes at the time. Most teams do not have the hours to do that consistently.
The cost adds up across a back catalogue. Fifty past episodes with no searchable transcripts is fifty hours of content that could be driving search traffic or feeding new clips. None of that can happen while the only version of it is unsearchable audio.
What the agent produces from one recording
The agent transcribes the recording as soon as it is available, labelling speakers where the audio allows it. It writes show notes with timestamps for the main topics covered.
It also flags moments likely to work as standalone clips: a strong quote, a surprising number, a self-contained story. Each flag comes with a short note on why it was picked.
Everything then exports in the formats your team actually uses. That can be a blog-style show notes post, YouTube captions, or a newsletter summary, so one recording feeds several publishing channels without separate manual work for each.
Timestamps also make the transcript useful on its own. A listener or a colleague looking for one specific point in a long episode jumps straight to it instead of scrubbing through audio by ear.
A content calendar view ties transcripts, show notes and flagged clips to a publishing schedule. A team working through a backlog of recordings can see at a glance which episodes are ready to publish around and which still need a pass first.
What your content team still decides
Picking the final clips from the flagged list, and deciding how they get edited and published, stays with your content team. The agent surfaces candidates and the raw material. The creative call on what actually goes out, and how a clip is framed for a given platform, stays human.
How we keep this safe to publish from
The full transcript stays available next to every summarised output, so anything condensed or flagged can be checked against the original recording. The flagging criteria get tuned against a batch of past episodes your team has already clipped by hand, to match the kind of moments you actually use.
Sensitive or off-the-record moments can be excluded from published show notes and clip suggestions, as long as the segment is flagged before it gets processed. Draft transcripts stay separate from published show notes until a person approves them, so nothing automated reaches a public page unreviewed.
Price and timeline
| Option | Price | What it covers | Timeline |
|---|---|---|---|
| Single automation | from $500 | One show or webinar series, transcript, show notes, flagged clip moments | 3 to 7 days |
| Department package | from $2,500 | Transcription plus video ad variants and subtitle and transcript generation across your content team | 2 to 4 weeks |
Running cost is usually $15 to $70 a month in model usage depending on call volume, with a budget cap set before launch.
Related
Pair this with subtitle and transcript generation, video chaptering and clipping for social, and meeting recording to minutes to cover the rest of your voice workflow. The full package breakdown is on the AI agents service page and the automation-everything overview. If your team is further along in handing off routine work, see the routine-takeover service instead. For a sense of how this plays out in practice, see ai reels editor telegram and content agent 11 types two brands.
Ready to see what this looks like for your podcast and webinar transcription? Get in touch and we will map your call flow 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 transcription automation cost?
From $500 for one show or webinar series, live in 3 to 7 days.
Does it tell speakers apart?
Yes, wherever the audio allows it. That matters most for interview podcasts and webinars with several presenters.
How does it know what is worth clipping?
It flags a strong statement, a surprising number, or a point that stands on its own without context. A person then makes the final call on what actually gets cut.
Can it handle more than one language?
Yes. If your content runs in several languages, the transcript and show notes get produced separately for each one.
What formats does it export to?
A plain transcript, YouTube-ready captions, a blog-style show notes post, and a newsletter summary. One recording feeds several channels without extra manual work.