Speaker Diarization & Multi-Speaker Transcription is a paid API for AI agents from x402-deployer.x402-deployer.workers.dev, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).
Transcribes audio with speaker labels using Whisper v3, returning utterances grouped by speaker with per-speaker statistics (utterance count, total seconds, word count).
Speaker diarization / who-said-what transcription. Whisper v3 + speaker labels. Returns utterances grouped by speaker, plus per-speaker stats (count, seconds, words). 60 min max.
A structured response containing utterances grouped by speaker with speaker labels, plus per-speaker statistics including utterance count, total duration in seconds, and word count for each identified speaker.
POSThttps://x402-deployer.x402-deployer.workers.dev/speaker-diarizeChoose this endpoint when you need to know not just what was said but who said it — e.g. for interviews, meetings, podcasts, or multi-party calls. It combines Whisper v3 transcription quality with speaker separation, returning both the full labeled transcript and per-speaker usage statistics in one call. Prefer this over plain transcription endpoints when speaker attribution matters.
{
"input": {
"body": {
"language": "en",
"media_url": "https://www.soundhelix.com/examples/mp3/SoundHelix-Song-1.mp3",
"num_speakers": 2
},
"type": "http",
"method": "POST",
"bodyType": "json"
}
}| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"text": "♪ ♪ ♪ ♪ ♪ ♪ ♪ ♪♪♪ ♪♪ ♪♪ ♪ ♪ ♪ ♪ ♪ ♪ ♪ ♪ ♪ ♪ ♪ ♪ ♪ ♪ ♪ Thank you.",
"source_url": "https://www.soundhelix.com/examples/mp3/SoundHelix-Song-1.mp3",
"utterances": [
{
"end": 63.92,
"text": "♪ ♪ ♪ ♪ ♪ ♪ ♪",
"start": 0.02,
"speaker": "Unknown"
},
{
"end": 131.06,
"text": "♪♪♪ ♪♪ ♪♪",
"start": 66.02,
"speaker": "Unknown"
},
{
"end": 348.3,
"text": "♪ ♪ ♪ ♪ ♪ ♪ ♪ ♪ ♪ ♪ ♪ ♪ ♪ ♪ ♪",
"start": 133.72,
"speaker": "Unknown"
},
{
"end": 369.98,
"text": "Thank you.",
"start": 350.24,
"speaker": "Unknown"
}
],
"speaker_count": 1,
"speaker_stats": [
{
"speaker": "Unknown",
"word_count": 27,
"total_seconds": 363.26,
"utterance_count": 4
}
],
"duration_seconds": 372.715083,
"detected_languages": null
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