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medien.halowerk.com Speech-to-Text (STT)
x402
medien.halowerk.com Speech-to-Text (STT) is a paid API for AI agents from medien.halowerk.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-15).
Transcribes an audio or video file (by URL or base64) into full text with per-word timestamps, confidence scores, utterances, paragraphs, and detected language.
Price / call$0.02
Success—
StatusUnknown
How this service works
Takes an audio or video file by URL or inline base64 and returns the transcript: the full text, every word with start and end time and its own confidence, the utterances and paragraphs the recogniser separated, and the detected language with its confidence where no language was specified.
Output
Returns the full transcript as plain text, a word-level array with each word's start time, end time, and confidence score, the utterances and paragraphs the recogniser identified, and (when no language was specified) the detected language with its confidence score.
Example use cases
Podcast episode transcript generation
“Transcribe this podcast episode for me — the audio is at https://cdn.mypodcast.com/ep42.mp3 — I need the full transcript broken into paragraphs and each word with its start time and end time so I can add a searchable transcript to our website.”
Meeting recording with speaker turns
“I have a recorded Zoom call at https://storage.example.com/team-meeting.mp4 — can you transcribe it and give me the text with timestamps for every word so our project manager can review what was said and when?”
Auto-detect language in foreign audio
“I have this audio file in base64 — I don't know what language it's in — can you transcribe it and tell me what language was detected and how confident the recogniser is, along with the full transcript text?”
Technical details
Endpoint
POSThttps://medien.halowerk.com/v1/sttWhen to prefer
Choose this endpoint when you need a detailed, word-level transcript with timestamps and confidence scores from an audio or video file — especially when you also want automatic language detection. It is particularly useful for pipelines that need structured transcript data (utterances, paragraphs) beyond a plain text dump, and it accepts both remote URLs and inline base64, making it flexible for various file sources.
Side effects
- Unreachable or invalid file URL returns an error with no transcript
- Unsupported audio/video format may result in a processing failure
- Very long files may time out or exceed size limits
- Corrupted base64 payload causes decoding errors
- Silent or near-silent audio may yield an empty or low-confidence transcript
- Non-speech audio (music only) may produce garbled or empty output
Tags
x402
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