List Speech-to-Text Models
GEThttps://api.knoxstudio.ai/v1/speech-to-text/models
Returns STT models. Use id as model_id. Batch default is scribe_v2; WebSocket default is scribe_v2_realtime. See Speech to Text.
Authentication is optional (public catalog 60/min, cached 5 minutes; a token filters the list).
Request
Request Headers
| Name | Type | Required | Description |
|---|---|---|---|
| Authorization | String | No | Optional Bearer <token>. Omit for the public catalog. xi-api-key is also accepted. |
cURL Example
curl -X GET https://api.knoxstudio.ai/v1/speech-to-text/models
Response
Success Response (200)
{
"data": [
{
"id": "scribe_v2",
"canonical_slug": "scribe_v2",
"name": "ElevenLabs Scribe v2",
"created": 1751328000,
"description": "Speech-to-text transcription with 90+ languages, word-level timestamps, and optional entity detection. Billed per audio hour.",
"chinese_description": "语音转文本,支持 90 余种语言、词级时间戳与实体检测,按音频小时计费。",
"pricing": {
"per_hour": "0.27",
"entity_detection": "0.12",
"keyterm_prompting": "0.10"
},
"architecture": {
"modality": "audio",
"input_modalities": ["audio"],
"output_modalities": ["text"],
"tokenizer": "elevenlabs"
}
}
]
}
Also listed: scribe_v2_realtime (per_hour: 0.44).
Response Schema
| Name | Type | Description |
|---|---|---|
| data[].id | string | Send as model_id. |
| data[].pricing.per_hour | string | USD per audio hour. |
| data[].pricing.entity_detection | string | Add-on USD per hour (0.12). |
| data[].pricing.keyterm_prompting | string | Add-on USD per hour (0.10). |
Error Responses
Validation uses HTTP 422:
{
"detail": [
{
"loc": ["body", "field"],
"msg": "…",
"type": "value_error"
}
]
}
Other errors use { "detail": "message" }.
| Status | When |
|---|---|
400 | WebSocket path called without Upgrade: websocket. |
401 | Missing or invalid API key. |
402 | Insufficient credits. |
403 | Token is not allowed to use this model. |
404 | Resource not found. |
422 | Validation error. |
429 | Rate limit exceeded. |
500 | Internal server error. |