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HALOWERK Glossary Extractor
x402
HALOWERK Glossary Extractor is a paid API for AI agents from medien.halowerk.com, paid per call via x402, $0.03/call, status unknown (last checked 2026-10-31).
Extracts specialist terms, abbreviations, and jargon from an audio/video recording (up to 120 minutes), returning each with a context-specific explanation, category, verbatim quote, and timestamp.
Price / call$0.03
Success—
StatusUnknown
How this service works
Takes a recording of up to 120 minutes and returns the specialist terms, abbreviations and jargon it uses, each with a short explanation based on how it is used in the recording (not a general dictionary definition), its category, the quote where it first appears and the timestamp. Every finding carries a verbatim quote from the transcript; quotes are searched in the transcript and findings whose quote cannot be found are dropped and counted, so nothing invented passes through.
Output
A structured list of glossary entries extracted from the recording transcript, each containing: the specialist term or abbreviation, a context-specific explanation (derived from how it is used in this recording, not a generic dictionary definition), its category, the verbatim quote from the transcript where it first appears, and the timestamp of that first occurrence. Entries whose verbatim quotes cannot be verified in the transcript are automatically dropped and counted, ensuring no hallucinated terms pass through.
Example use cases
Glossary for technical podcast episode
“I have a 60-minute DevOps podcast at https://example.com/devops-ep10.mp3 — can you extract every technical term, acronym, and piece of jargon from it, with a plain-English explanation of how each is used in the episode, the first quote where it appears, and the timestamp? Output everything in English.”
Jargon extraction from recorded medical lecture
“Here's a 90-minute recorded medical lecture: https://university.edu/lecture-cardiology.mp4. Please identify all the specialist medical terms and abbreviations used, explain each one based on its context in the recording, and give me the verbatim quote and timestamp for each first occurrence. The lecture is in English.”
Legal deposition terminology glossary
“I need a glossary of all the legal jargon and abbreviations from this 30-minute deposition recording — I'll send it as a file. Can you explain each term based on how the lawyers actually use it in the recording, and include the exact quote and timestamp where each one first appears? Output in English.”
Technical details
Endpoint
POSThttps://medien.halowerk.com/v1/glossary?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a verified, timestamped glossary of specialist vocabulary from an audio or video recording — particularly for technical, medical, legal, or industry-specific content where jargon and abbreviations need context-specific (not dictionary) definitions. It is the right choice when quote-level verification matters (all findings are backed by verbatim transcript quotes). Prefer this over general transcription endpoints when the goal is terminology extraction rather than full transcription, and over manual review when recordings are long or dense with domain-specific language.
Side effects
- Recording URL is not publicly accessible or returns an error — endpoint cannot fetch the file
- File exceeds 24 MB inline base64 limit — use URL-based input instead
- Recording duration exceeds 120-minute maximum — request is rejected
- No specialist terms or jargon detected in the recording — empty glossary returned
- Spoken language cannot be auto-detected — provide explicit BCP-47 language code
- Unsupported audio/video format — transcription fails
- Payment not completed via x402 protocol — request rejected with 402 status
- duration_minutes mismatch with actual file length — 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. |
| output_language | string | Language of labels and explanations. Default: spoken language. |
| duration_minutes | integer | Length in started minutes — this is what you are billed for. |
Tags
x402
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