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HALOWERK Podcast Show Notes Generator
x402
HALOWERK Podcast Show Notes Generator is a paid API for AI agents from medien.halowerk.com, paid per call via x402, $0.035/call, status unknown (last checked 2026-10-31).
Transcribes a podcast audio file and generates publish-ready show notes including title, description, timestamped chapters, entity extraction, quotable sentences, keywords, and full transcript.
Price / call$0.035
Success—
StatusUnknown
How this service works
Takes a podcast episode of up to 120 minutes by URL or inline and returns publish-ready show notes: a title suggestion, a two-to-four-sentence description, chapters with timestamps (as text block for podcast players and YouTube), the people, organisations, products and links mentioned, up to five quotable sentences and keywords, plus the paragraphed transcript. Chapter boundaries are chosen by a language model as paragraph numbers only; their timestamps come from the recogniser.
Output
Returns a structured object containing: a suggested episode title, a 2-4 sentence description, a text block of timestamped chapters suitable for podcast players and YouTube, lists of people, organisations, products, and URLs mentioned, up to five quotable sentences, keywords, and the full paragraphed transcript with chapter boundaries.
Example use cases
Solo podcast episode post-production
“I just finished recording a 60-minute solo podcast episode and uploaded the audio to https://files.mypodcast.com/episode-87.mp3. Can you generate show notes in English — I need a title, a short description, timestamped chapters, any products or people I mentioned, and five quotable lines I can use for social media?”
Multilingual podcast notes for German audience
“My podcast episode is at https://media.examplepodcast.de/ep12.mp3, it runs about 35 minutes, and it's recorded in German. Can you generate the show notes in German — chapters with timestamps, a description, keywords, and the full transcript?”
YouTube chapter markers from interview episode
“I have a 90-minute interview episode as a base64 audio file — can you process it and give me the timestamped chapters formatted for YouTube, plus the names of all the people and organisations we mentioned, and a two-sentence description I can use for the video?”
Technical details
Endpoint
POSThttps://medien.halowerk.com/v1/podcast-shownotes?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a complete, publish-ready podcast production package in one call — not just a transcript, but chapters, entity extraction, quotes, and SEO metadata all at once. It is particularly well suited for podcast producers who need to ship show notes immediately after recording, or for agents automating podcast post-production pipelines. If you only need a plain transcript without chapters or show notes metadata, a cheaper transcription-only service may be more appropriate.
Side effects
- Audio URL is not publicly accessible — returns an error asking for a reachable URL or inline base64
- Episode duration exceeds 120 minutes maximum — request is rejected
- Audio file too large for inline base64 (>12MB encoded) — must use URL instead
- Unsupported audio format — transcription fails
- Language detection fails on low-quality or silent audio — may return inaccurate transcript
- duration_minutes not provided or mismatched — billing and processing may be affected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| source | object | The recording. Either url or content_base64. |
| language | string | Spoken language (BCP-47). Omit to detect. |
| notes_language | string | Language of the show notes. Default: spoken language. |
| duration_minutes | integer | Length in started minutes — this is what you are billed for. |
Tags
x402
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