One recording,
a transcript, show notes and clips, automatically
A podcast or webinar recording sitting as a raw audio file is not useful to anyone searching for the moment that mattered. We build an agent that transcribes the recording, writes searchable show notes, and flags the moments most worth clipping for social, all within minutes of the recording ending.
The process today
A podcast or webinar recording, once the live session ends, usually just sits as an audio or video file until someone has time to write up show notes, pull quotes for social, or create captions, and that time rarely comes soon, so by the time anything gets published around the episode, momentum from the original release has already faded.
Finding a specific moment in an old episode, that one guest who mentioned a particular statistic, means scrubbing through audio by ear unless someone happened to write detailed notes at the time, which most teams do not have the hours to do consistently.
The cost compounds across a back catalogue: a show with fifty past episodes and no searchable transcripts is effectively fifty hours of locked-up content that could be driving search traffic, answering a listener’s question, or feeding new clips, none of which can happen while the content only exists as unsearchable audio.
What the agent does
The agent transcribes the recording as soon as it is available, labelling speakers where the audio allows it, and writes show notes with timestamps for the main topics discussed. It flags moments likely to work as standalone clips, a strong quote, a surprising number, a self-contained story, with a short note on why each one was flagged.
The transcript, show notes and flagged moments are exported in the formats your team actually uses: a blog-style show notes post, YouTube captions, a newsletter summary, so one recording feeds several publishing channels without separate manual work for each.
Because show notes carry timestamps, a listener or a team member looking for one specific point in a long episode can jump straight to it instead of scrubbing through audio by ear, which also makes the transcript useful as a reference document in its own right, not just a production input.
A content calendar view ties transcripts, show notes and flagged clips to a publishing schedule, so a team working from a recording backlog can see at a glance which episodes are ready to publish around and which still need a pass before anything goes out.
What stays with humans
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 judgment of what actually goes out stays human. Final editorial judgment on what gets published, and how a clip is framed for a given platform, stays with your content team.
Guards
The full transcript stays available alongside every summarised output, so anything condensed or flagged can be checked against the original recording. The flagging criteria are tuned against a batch of past episodes your team has already clipped manually, 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 by flagging the relevant segment before it is processed. Draft transcripts are kept 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, 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. For a sense of how this plays out in practice, see ai reels editor telegram, 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 just 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 label different speakers?
Yes, the transcript separates speakers where the audio allows it, which matters for interview-format podcasts and multi-presenter webinars.
How does it decide what is clip-worthy?
By flagging moments with a strong statement, a surprising number, or a self-contained point that works without the surrounding context, then a person makes the final call on what to actually cut.
Can it handle more than one language?
Yes, if your content runs in multiple languages the transcription and show notes can be produced separately for each one.
What formats does it export to?
Plain transcript, YouTube-ready captions, a blog-style show notes post, and a newsletter summary, so the same recording feeds several channels without separate manual work.