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Overview

VoxNexus offers a diverse library of high-quality voices covering multiple languages, accents, genders, and styles. Each voice is carefully crafted using advanced AI technology to deliver natural, expressive speech.

Language and locale

TTS model languages and each voice locale’s language use BCP 47 language[-Script], for example en, fr, zh-Hans, and zh-Hant. They classify languages and writing systems, not regional accents. Translation uses its separate language code contract. A voice’s supported_locales[].locale uses language[-Script][-REGION], such as en, en-US, or en-GB. Include model_id in voice list, search, and detail requests to obtain the locales actually available for that model and voice. voice_id is a stable opaque identifier; do not infer language or accent from its spelling. Input case and separator aliases are accepted, while responses use canonical tags: EN_us and en-Latn-US become en-US; zh-Hant-TW becomes zh-TW. Explicit nonredundant Script constraints, such as zh-Hant-CN, remain intact. Bare en or fr never gains an invented region. primary_locale, when present, belongs to supported_locales and is the default. A model-filtered voice can omit it when its original default is unavailable and several supported locales remain. Select a locale explicitly in that case. Two English locales such as en-US and en-GB alone do not make a voice multilingual. For synthesis, language=en leaves the region unspecified: the service prefers a matching primary locale, otherwise the only matching locale. Multiple candidates without a default require an explicit selection. language=en-GB requires British English support and cannot silently use en-US. A locale without REGION does not promise a particular regional accent; accent is separate voice metadata. Script describes writing, not accent.

Voice Categories

By Language

Our voice library supports 50+ languages and locales:
  • English: Multiple accents (US, UK, Australian, etc.)
  • Chinese: Mandarin, Cantonese, and regional variants
  • Spanish: European and Latin American variants
  • French: European and Canadian French
  • German: Standard German and regional accents
  • Japanese: Standard Japanese
  • Korean: Standard Korean
  • And many more…

By Gender

Choose voices that match your application’s needs:
  • Male Voices: Deep, authoritative, or friendly male voices
  • Female Voices: Warm, professional, or energetic female voices
  • Neutral Voices: Gender-neutral options for inclusive applications

By Category

Voices are organized into categories:
  • Premade Voices: Professional, pre-built voices ready for immediate use
  • Cloned Voices: Custom voices created from audio samples
  • Generated Voices: AI-generated voices with unique characteristics

By Style

Match voice style to your content:
  • Professional: Formal, business-appropriate voices
  • Casual: Friendly, conversational voices
  • Cheerful: Energetic, upbeat voices
  • Calm: Soothing, relaxed voices
  • Authoritative: Confident, commanding voices
  • Friendly: Warm, approachable voices

Discovering Voices

Browse All Voices

Use the /v1/voices endpoint to browse available voices:

Search Voices

Search for voices by keyword:

Filter Voices

Filter voices by attributes:

Get Voice Details

Retrieve detailed information about a specific voice:

Voice Response Format

When you query the voice API, you’ll receive responses in this format:

Voice Configuration

Many voices support additional configuration options through the voice_config parameter:

Style Configuration

Some voices support different speaking styles:

Role Configuration

Some voices can adopt different roles:

Checking Voice Configuration Options

Each voice’s config_schema field describes the available configuration options. Check the voice details to see what’s supported:

Chinese Voices

Xiaoxiao

A cheerful and energetic female voice, perfect for friendly applications.

Yunxi

A calm and professional male voice, ideal for business content.

English Voices

Jenny

A professional female voice with clear pronunciation.

Guy

A friendly male voice suitable for various applications.

Voice Selection Best Practices

Match Voice to Content

Choose voices that match your content type:
  • Educational Content: Clear, articulate voices
  • Entertainment: Expressive, character voices
  • Business: Professional, authoritative voices
  • Accessibility: Clear, easy-to-understand voices

Consider Your Audience

Select voices appropriate for your target audience:
  • Age: Match voice age to audience age
  • Language: Use native speakers’ preferred accents
  • Culture: Consider cultural preferences
  • Accessibility: Ensure voices are clear and understandable

Test Before Production

Always test voices with sample content:
  1. Generate sample audio with your content
  2. Listen to the output quality
  3. Test with your target audience
  4. Adjust voice parameters as needed

Use Voice Samples

Listen to voice samples before integration:

Voice Customization

Speed Control

Adjust speech rate to match your needs:

Pitch Adjustment

Modify pitch for different effects:

Volume Control

Adjust volume levels:

Multi-Voice Applications

Character Voices

Use different voices for different characters:

Language Switching

Switch voices based on user language preference:

Next Steps

API Reference

Learn how to use voices in your API calls

Quick Start

Get started with your first voice synthesis