Speech to Text Transcription (Whisper) is a paid API for AI agents from agentsvc.io, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Transcribes audio files (voice notes, meetings, podcasts, calls) into text with timestamps using OpenAI Whisper, supporting ~100 languages with automatic language detection
Speech to text for agents: transcribe a voice note, meeting, podcast or call recording into text with timestamps, in about 100 languages with automatic language detection. Runs OpenAI Whisper (small by default, base for speed) on agentsvc.io itself, the audio is deleted after the call. Send audio_url or audio_base64 (mp3, mp4, m4a, wav, ogg, webm, flac), up to 10 minutes and 24 MB per call. Returns text, detected language, duration and segments with start and end seconds.
Returns a JSON object with the full transcribed text, detected language code (e.g. 'en'), language confidence probability (0-1), total audio duration in seconds, processing time in milliseconds, and an array of segments each containing start time, end time, and text. Also includes the Whisper model used and a license note confirming audio is deleted after processing.
POSThttps://agentsvc.io/api/v1/proxy/audio-transcribe?utm_source=zero.xyzChoose this endpoint when you need a fast, cost-effective ($0.01/call) audio-to-text conversion with multilingual support and automatic language detection, and when data privacy matters (audio deleted immediately after processing). Ideal for agents handling voice notes, meeting recordings, or podcasts up to 10 minutes. Prefer the 'base' model for speed and 'small' for accuracy. If your audio exceeds 10 minutes or 24 MB, you'll need to chunk it first.
| Field | Type | Description |
|---|---|---|
| model | string | small is more accurate, base about twice as fast |
| language | string | ISO 639-1 code like en or de, default auto-detect |
| audio_url | string | Public URL of the audio file |
| timestamps | boolean | Include segments with start and end seconds |
| audio_base64 | string | Audio file as base64; or use audio_url |
{
"type": "json",
"example": {
"data": {
"text": "This is a sample recording for the agents.io speech to text service. It turns spoken audio into text with time stamps in about 100 languages.",
"model": "whisper-small",
"language": "en",
"segments": [
{
"end": 4.4,
"text": "This is a sample recording for the agents.io speech to text service.",
"start": 0
},
{
"end": 9,
"text": "It turns spoken audio into text with time stamps in about 100 languages.",
"start": 4.4
}
],
"model_license": "MIT (OpenAI Whisper weights, faster-whisper runtime), runs on agentsvc.io, audio is deleted after the call",
"processing_ms": 3688,
"duration_seconds": 9.17,
"language_probability": 0.998
},
"success": true
}
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