Podcast Transcript and Show Notes Generation
A weekly podcast episode wraps recording, and someone still has to produce a full transcript, timestamped chapter markers, a handful of pull quotes and an SEO-friendly episode description before it can go live on the feed and the blog. Done manually this eats two or three hours per episode, guest names and company names get misspelled inconsistently across the notes, and chapter breaks get eyeballed roughly rather than matched to where the conversation actually shifts topic.
STARTING PRICE
From €299
Standard tier · Multi-step workflow with AI extraction/decisioning and 2-3 integrations.
Get a quote →Saves roughly 2-3 hrs per episode.
How the automation works
We transcribe each episode with speaker labels and a custom vocabulary list for recurring guest and brand names, then generate chapter markers aligned to genuine topic shifts rather than arbitrary time intervals, draft an SEO-oriented episode description grounded in what was actually discussed, and surface candidate pull quotes with enough surrounding context attached that they aren't misleading on their own. A producer reviews the draft package before it publishes, since guest name accuracy and quote framing are exactly the details worth a final human pass rather than trusting raw transcription output.
Process flow
- 01
Episode audio uploaded trigger
The finished episode recording is submitted for processing as soon as editing wraps, without waiting for a manual transcription request.
- 02
Transcribe with speaker labels ai
The audio is transcribed with speaker diarization and a custom vocabulary list for recurring guest and brand names, reducing phonetic misspellings of proper nouns.
- 03
Generate chapters and pull quotes ai
Chapter markers are placed at genuine topic transitions rather than fixed intervals, and candidate pull quotes are selected with enough surrounding context to avoid misrepresenting what was said.
- 04
Draft show notes and description ai
An SEO-oriented episode description and structured show notes are drafted from the actual discussion content, not a generic template filled with the episode title.
- 05
Producer reviews before publish output
A producer checks guest name accuracy, quote framing and chapter placement before the package goes out, since these are the details most worth a human pass.
- 06
Publish transcript and notes output
The approved transcript, show notes and chapter markers publish to the podcast host and the companion blog post together.
Inputs
- Episode audio file
- Custom vocabulary list (guest and brand names)
- Podcast hosting and CMS credentials
- Prior episode show notes for style reference
Outputs
- Speaker-labeled transcript
- Chapter markers
- SEO episode description
- Reviewed pull quotes with context
- Published show notes page
Works with
Prefer a fully custom build instead of an off-the-shelf integration? We scope both options during your free consultation — most jobs like this one work fine on standard connectors, but higher-volume or non-standard systems sometimes need bespoke API work, reflected in the complex tier.
Where this goes wrong if you get it wrong
- Speaker diarization errors on overlapping speech or cross-talk mislabel who said what, producing a pull quote misattributed to the wrong guest — something a quick skim of the transcript alone can miss if the misattribution happens to read plausibly.
- Proper nouns and brand names get phonetically mangled by the transcription engine and need a custom vocabulary list, or the same guest's company name ends up spelled three different ways across one episode's notes.
- Chapter markers placed by pause-length detection alone can split a thought mid-sentence if a guest's natural speaking cadence doesn't line up with a clean topic break, producing a chapter list that looks tidy but doesn't match where the conversation actually shifted.
- Pull-quote selection based on how quotable a sentence sounds can surface a joke, hedge or exaggeration stripped of the qualifying context that made it defensible in the full conversation, misrepresenting what the guest actually meant.
Frequently asked questions
Does this replace a human producer reviewing the episode?
No — it drafts the full transcript, chapters and notes package, but a producer still checks guest name accuracy and quote framing before publish, since those are the highest-risk details to get wrong.
How does it handle guests with unusual name spellings or company names?
A custom vocabulary list per show or per guest reduces phonetic misspellings, though a new guest not yet in the vocabulary list should still get a quick name check before the notes go live.
Can it generate notes for a back catalog of older episodes, not just new ones?
Yes — it can process an existing archive to bring older episodes up to the same show-notes standard, which is useful when a show adds SEO-oriented notes after already having dozens of episodes live.
Does it work for panel discussions with more than two speakers?
Yes, though diarization accuracy drops as speaker count and cross-talk increase, so panel episodes benefit more from the producer review pass than simple one-on-one interviews.