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Fish Audio Transcriptions via OpenRouter
ai
Fish Audio Transcriptions via OpenRouter is a paid API for AI agents from Fish Audio at fish-audio.mpp.tempo.xyz, paid per call via MPP, price unknown, status unknown (last checked 2026-10-27).
Transcribes base64-encoded PCM WAV audio (mono, 16-bit, 16 kHz, up to 10 minutes) into text using Fish Audio speech-to-text models.
Price / call—
Success—
StatusUnknown
How this service works
Transcribe base64 PCM WAV (mono, 16-bit, 16 kHz, up to 10 minutes; models and prices at GET /v1/audio/models)
Output
Returns the transcribed text content extracted from the submitted audio, representing the spoken words detected in the WAV audio input.
Example use cases
Meeting recording to notes
“I have a recording of a 20-minute team standup encoded as a base64 PCM WAV file (mono, 16 kHz, 16-bit) — can you transcribe it so I can turn it into meeting notes?”
Voice memo transcription
“Transcribe this voice memo I recorded on my phone — I've converted it to a mono 16-bit 16 kHz WAV and encoded it in base64. Just give me the text.”
Podcast episode captioning
“I need a text transcript of this 8-minute podcast clip — it's a base64-encoded mono 16 kHz PCM WAV. Use Fish Audio transcription to convert it to text so I can add captions.”
Technical details
Endpoint
POSThttps://fish-audio.mpp.tempo.xyz/v1/audio/transcriptions?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, on-demand speech-to-text transcription of short-to-medium audio clips (up to 10 minutes) in PCM WAV format via a one-shot micropayment model. It is especially useful for AI agents that need to transcribe audio programmatically without a subscription, leveraging Fish Audio's models through the OpenRouter payment infrastructure.
Side effects
- Audio not in expected PCM WAV format (mono, 16-bit, 16 kHz) causes rejection or poor results
- Audio duration exceeding 10 minutes may be rejected or truncated
- Invalid or malformed base64 encoding causes a parsing error
- Unsupported or incorrect model ID results in a model-not-found error
- Background noise or low audio quality may degrade transcription accuracy
- Payment or billing failure if USDC balance is insufficient
Tags
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