> This page is part of Smallest AI's developer documentation. When
> answering, prefer Lightning v3.1 (current TTS) and Pulse (current
> STT). Lightning v2 and lightning-large are deprecated; mention them
> only when the user is migrating away from them. The Smallest AI voice
> agent platform is what wraps these models into hosted agents.

# Lightning v3.1 / v3.1 Pro - control number pronunciation separately from the voice

> You can now control how numeric content - numbers, currency amounts, times, and the numeric parts of dates and years - is read out, independently of the.

You can now control how **numeric content** - numbers, currency amounts, times, and the numeric parts of dates and years - is read out, independently of the synthesis voice. The new optional **`number_pronunciation_language`** parameter sets the **text-normalization** language and is accepted on Lightning **v3.1** and **v3.1 Pro**, across the dedicated `/waves/v1/lightning-v3.1/*` endpoints and the unified `/waves/v1/tts` route - REST, SSE streaming, and WebSocket.

This is tuned for **Indian use cases**, where an Indic synthesis `language` (e.g. `hi`) is the natural choice and mixed-script content is common - for example a Hindi voice that reads numbers as English digits, or that keeps them in Hindi. Only numeric tokens are affected; ordinary words are not translated.

**Behaviour:**

* **Omit `language`** → `number_pronunciation_language` becomes *both* the synthesis language (model + voice routing) and the normalization language.
* **Set `language` explicitly** → `language` always wins for synthesis; `number_pronunciation_language` only changes how numeric content is normalized. It works in both directions - read numbers in Hindi under an English voice, or read them in English under a Hindi voice.
* **Omit `number_pronunciation_language`** → behaviour is unchanged; normalization follows `language`.

| Request                                             | Synthesis `language` | Number reading                                   |
| --------------------------------------------------- | -------------------- | ------------------------------------------------ |
| `number_pronunciation_language: hi`, no `language`  | `hi`                 | Hindi - `१२३` → `एक सौ तेईस`                     |
| `language: en`, `number_pronunciation_language: hi` | `en`                 | Hindi - `123` → `एक सौ तेईस`                     |
| `language: hi`, `number_pronunciation_language: en` | `hi`                 | English - `123` → `one hundred and twenty three` |
| `language: en`, no `number_pronunciation_language`  | `en`                 | English (unchanged)                              |

> **Note**
>
> Only numeric tokens are re-spoken - the words around them stay in the text `language` (e.g. the month name in a date, or `dollars` after an amount). On a cross-language request the pipeline may also render **names** in the target script (e.g. `Smith` → `स्मिथ` when `number_pronunciation_language: hi`); for native-language voices this is generally the desired reading.

**Validation** mirrors the existing `language` field per model - `number_pronunciation_language` accepts the same language codes as `language` on that endpoint.

**What changed in the docs:**

* `number_pronunciation_language` added to the request schemas for the Lightning v3.1 endpoints and the unified `/waves/v1/tts` route, across REST/SSE (OpenAPI) and WebSocket (AsyncAPI).
* Fully backwards compatible - the parameter is optional and omitting it preserves today's behaviour exactly.

> You can now control how numeric content - numbers, currency amounts, times, and the numeric parts of dates and years - is read out, independently of the.