Voices & languages

The voice roster

The library ships 320 human-reviewed voices across 66 native languages and 76 accents — every voice speaks all 82 supported languages; its native one is where its accent lives. Fetch the roster at runtime rather than hardcoding a list; store each voice’s voice_id and display its name.

{
  "voices": [
    {
      "voice_id": "sv_enhdbrj5",
      "name": "Aanya",
      "category": "premade",
      "gender": "female",
      "accent_family": "bengali",
      "model_id": "svara-tts-turbo",
      "description": "A soft female voice with a bengali accent, made for storytelling that leans close — romantic, unhurried, with real warmth in the low notes.",
      "labels": {
        "native_language": "Bengali",
        "native_language_code": "bn",
        "accent": "bengali",
        "region": "india",
        "age": "young",
        "quality_band": "A",
        "tags": "soft",
        "preview_language": "Bengali"
      },
      "preview_url": "/v1/voices/sv_enhdbrj5/preview"
    },
    ...
  ]
}

• voice_id is a stable sv_-prefixed id; it is the only way to address a voice, on both the OpenAI-style and ElevenLabs-style endpoints
• labels.native_language is where the voice’s accent comes from; it still speaks every supported language
• names change, ids don’t — store the voice_id and render name from the response

Voice previews

Every voice has a bundled preview clip; use it instead of live-synthesizing sample audio (it’s instant and free):

The preview_url is included in each voice object from /v1/voices, so you rarely construct this URL by hand.

Languages

The model handles 82 languages and code-switches between them within a single request. Drive language pickers from the languages endpoint:

When calling TTS, the lang hint accepts any ISO form: hi, hin, hindi, hi-IN, ja, zh-CN, ko all resolve. Sending it enables number and unit normalization; omit it to auto-detect from the script. See Text to speech for details.