Listing ElevenLabs Voices

Sunra exposes a lightweight helper endpoint that lets you discover the voices available on the shared ElevenLabs account that powers our ElevenLabs TTS models. The endpoint does not run an inference pipeline — there is no billing, no prediction record, no queue. It is a direct, paginated lookup against the upstream ElevenLabs voice library. Once you find a voice you like, plug its voice_id into the custom_voice_id field of any ElevenLabs TTS model and the model will use that voice instead of its default.

Endpoint

GET https://api.sunra.ai/v1/elevenlabs/voices

Authentication is the same as the rest of the Sunra API — send your API key in the Authorization header.

Query parameters

All parameters are optional.

Parameter	Type / values	Default	Description
`page_size`	integer (max 100)	10	How many voices to return in one response.
`search`	string	—	Filter by name, description, labels, or category.
`sort_by`	`name` \| `date`	—	Field to sort by. `date` sorts by voice creation time.
`sort_direction`	`asc` \| `desc`	—	Sort order.
`category`	`premade` \| `cloned` \| `generated` \| `professional`	—	Voice category.
`voice_type`	`personal` \| `community` \| `default` \| `workspace` \| `non-default` \| `non-community` \| `saved`	—	Voice ownership / source.
`next_page_token`	string	—	Pagination token returned by a previous response.

Response

{
  "voices": [
    {
      "voice_id": "9BWtsMINqrJLrRacOk9x",
      "name": "Aria",
      "settings": null
    },
    {
      "voice_id": "CwhRBWXzGAHq8TQ4Fs17",
      "name": "Roger",
      "settings": null
    }
  ],
  "has_more": true,
  "next_page_token": "RVhBVklUUXU0dnI0eG5TRHhNYUx8"
}

Field	Description
`voices[].voice_id`	The ID to pass as `custom_voice_id` to a TTS model.
`voices[].name`	Human-readable voice name.
`voices[].settings`	Default voice settings (`stability`, `similarity_boost`, etc.) or `null` if none are saved on the voice.
`has_more`	`true` while more pages remain.
`next_page_token`	Pass this as `next_page_token` in the next call to fetch the next page. `null` on the last page.

Pagination

Drive pagination from has_more and next_page_token. Keep calling the endpoint with the previous response’s next_page_token until has_more is false:

let token = undefined;
const all = [];

do {
  const url = new URL("https://api.sunra.ai/v1/elevenlabs/voices");
  url.searchParams.set("page_size", "100");
  if (token) url.searchParams.set("next_page_token", token);

  const resp = await fetch(url, {
    headers: { Authorization: `Bearer ${process.env.SUNRA_KEY}` },
  });
  const body = await resp.json();
  all.push(...body.voices);
  token = body.has_more ? body.next_page_token : null;
} while (token);

Examples

curl -H "Authorization: Bearer $SUNRA_KEY" \
  "https://api.sunra.ai/v1/elevenlabs/voices?category=premade&sort_by=date&sort_direction=desc&page_size=20"

const resp = await fetch(
  "https://api.sunra.ai/v1/elevenlabs/voices?category=premade&sort_by=name&page_size=20",
  { headers: { Authorization: `Bearer ${process.env.SUNRA_KEY}` } }
);
const { voices, has_more, next_page_token } = await resp.json();
console.log(voices.map((v) => `${v.name} (${v.voice_id})`));

import os
import requests

resp = requests.get(
    "https://api.sunra.ai/v1/elevenlabs/voices",
    params={
        "category": "premade",
        "sort_by": "name",
        "page_size": 20,
    },
    headers={"Authorization": f"Bearer {os.environ['SUNRA_KEY']}"},
)
data = resp.json()
for v in data["voices"]:
    print(v["name"], v["voice_id"])

Using a voice in a TTS model

Take any voice_id from the response and pass it as custom_voice_id when calling an ElevenLabs TTS endpoint. When custom_voice_id is set it overrides the model’s default voice field, so you can use any voice the account has access to — including cloned voices and voices saved from the ElevenLabs voice library, not just the defaults exposed by the schema’s voice enum. This works for every Sunra ElevenLabs TTS endpoint:

elevenlabs/eleven-v3/text-to-speech
elevenlabs/multilingual-v2/text-to-speech
elevenlabs/turbo-v2.5/text-to-speech
elevenlabs/multilingual-sts-v2/speech-to-speech

import { sunra } from "@sunra/client";

const result = await sunra.subscribe(
  "elevenlabs/multilingual-v2/text-to-speech",
  {
    input: {
      text: "Welcome to Sunra.",
      custom_voice_id: "9BWtsMINqrJLrRacOk9x",
    },
  }
);

import sunra_client

result = sunra_client.subscribe(
    "elevenlabs/multilingual-v2/text-to-speech",
    arguments={
        "text": "Welcome to Sunra.",
        "custom_voice_id": "9BWtsMINqrJLrRacOk9x",
    },
)

Overview

Platform

Multimodal

LLM

Client Libraries

ElevenLabs Voices

Listing ElevenLabs Voices

Endpoint

Query parameters

Response

Examples

Using a voice in a TTS model

​Listing ElevenLabs Voices

​Endpoint

​Query parameters

​Response

​Pagination

​Examples

​Using a voice in a TTS model

Listing ElevenLabs Voices

Endpoint

Query parameters

Response

Pagination

Examples

Using a voice in a TTS model