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OpenRouter Audio Transcriptions
llmunifiedmulti-modelchatai
OpenRouter Audio Transcriptions is a paid API for AI agents from OpenRouter at openrouter.mpp.tempo.xyz, paid per call via MPP, price unknown, status unknown (last checked 2026-10-30).
Transcribes base64-encoded PCM WAV audio (mono, 16-bit, 16 kHz, up to 10 minutes) into text using multiple AI 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
A text transcript of the spoken content from the submitted audio, extracted by an AI speech recognition model. The response contains the recognized words and sentences from the audio recording.
Example use cases
Meeting notes from voice recording
“I recorded our team standup meeting as a WAV file — mono, 16kHz — can you transcribe it so I have written notes to share with the team?”
Podcast episode transcription
“I have a 9-minute podcast segment saved as a base64 PCM WAV at 16kHz mono — can you transcribe it into text so I can post a written version on the website?”
Voice memo to text
“I left myself a voice memo as a WAV recording and need it converted to text — it's a mono 16-bit 16kHz file, about 90 seconds long. Can you transcribe it for me?”
Technical details
Endpoint
POSThttps://openrouter.mpp.tempo.xyz/v1/audio/transcriptions?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to transcribe PCM WAV audio files (mono, 16-bit, 16 kHz) using a choice of AI models with live pricing transparency via OpenRouter. Ideal when you want model flexibility for speech-to-text without being locked into a single provider, or when you need to compare transcription quality and cost across models. Best suited for audio clips up to 10 minutes that can be base64-encoded.
Side effects
- Audio not in expected format (must be base64 PCM WAV, mono, 16-bit, 16 kHz) — returns format error
- Audio exceeds 10-minute limit — rejected with duration error
- Invalid or unsupported model specified — returns model not found error
- Malformed base64 encoding — returns decoding error
- Insufficient funds or payment failure — returns payment required error
- Empty or silent audio — may return empty transcript or low-confidence result
Tags
llmunifiedmulti-modelchatai
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