Notebooker TTS voices
Listen to every built-in Notebooker voice, and find the voice catalogs for OpenAI, ElevenLabs, Google, and other TTS providers.
Notebooker includes its own text-to-speech (TTS) voices, used for podcasts and read-aloud. You can also connect another provider (OpenAI, ElevenLabs, Google, and more) and use their voices instead.
Built-in Notebooker voices
Notebooker ships 11 voices. melody is the base voice; the other ten are
distinct character voices. Assign any of them to a host in a
speaker profile.
Each sample below is the same sentence so you can compare them directly.
Base voice
Lower / masculine-leaning voices
Higher / feminine-leaning voices
How the voices work
melody is generated directly by the speech model, so it’s the fastest and
cheapest. The other ten voices start from melody and are run through a voice
conversion step to give each its own character — so they take a little longer to
generate. All of them are metered the same way as the rest of your Notebooker AI
usage.
Using another provider’s voices
If you’d rather use a commercial TTS provider, add it under Settings → API keys / Models in Notebooker and pick one of its voices. Notebooker supports these TTS providers — use the linked catalog to find exact voice names:
| Provider | Example voices | Full voice catalog |
|---|---|---|
| OpenAI | alloy, echo, fable, onyx, nova, shimmer |
OpenAI TTS voices |
| ElevenLabs | Your account’s voice library (custom + stock) | ElevenLabs Voice Library |
| Google Cloud | Kore, plus hundreds across languages |
Google Cloud TTS voices |
| Azure | Neural voices per locale | Azure speech voices |
| Deepgram | aura-2-thalia-en, other Aura voices |
Deepgram Aura voices |
| Mistral | Provider voice set | Mistral docs |
| xAI | eve, others |
xAI docs |
Related
- Podcast, speaker & episode profiles — assign these voices to your hosts.
- Run your own AI provider — host the speech model yourself.