> For the complete documentation index, see [llms.txt](https://docs.aimlapi.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aimlapi.com/api-references/speech-models/text-to-speech/inworld/tts-1-5-max.md).
# inworld/tts-1-5-max
{% columns %}
{% column width="66.66666666666666%" %}
{% hint style="info" %}
This documentation is valid for the following list of our models:
* `inworld/tts-1-5-max`
{% endhint %}
{% endcolumn %}
{% column width="33.33333333333334%" %} Try in Playground
{% endcolumn %}
{% endcolumns %}
A text-to-speech model focused on maximum voice stability and expressiveness, suitable for high-quality production and narrative use cases.
## Setup your API Key
If you don’t have an API key for the AI/ML API yet, feel free to use our [Quickstart guide](https://docs.aimlapi.com/quickstart/setting-up).
## API Schema
## POST /v1/tts
>
```json
{"openapi":"3.0.0","info":{"title":"AIML API","version":"1.0.0"},"servers":[{"url":"https://api.aimlapi.com"}],"paths":{"/v1/tts":{"post":{"operationId":"_v1_tts","requestBody":{"required":true,"content":{"application/json":{"schema":{"type":"object","properties":{"model":{"type":"string","enum":["inworld/tts-1-5-max"]},"text":{"type":"string","minLength":1,"maxLength":500000,"description":"The text content to be converted to speech."},"voice":{"type":"string","enum":["Alex","Ashley","Craig","Deborah","Dennis","Dominus","Edward","Elizabeth","Hades","Heitor","Julia","Maitê","Mark","Olivia","Pixie","Priya","Ronald","Sarah","Shaun","Theodore","Timothy","Wendy"],"default":"Alex","description":"Name of the voice to be used."},"format":{"type":"string","enum":["wav","mp3"],"default":"wav","description":"Audio output format. WAV delivers uncompressed audio in a widely supported container format, while MP3 provides good compression and compatibility."},"stream":{"type":"boolean","enum":[false],"default":false}},"required":["model","text"],"title":"inworld/tts-1-5-max"}}}},"responses":{"200":{"content":{"application/json":{"schema":{"type":"object","properties":{"audio":{"type":"string","format":"uri"},"meta":{"type":"object","nullable":true,"properties":{"usage":{"type":"object","nullable":true,"properties":{"credits_used":{"type":"number","description":"The number of tokens consumed during generation."},"usd_spent":{"type":"number","description":"The total amount of money spent by the user in USD."}},"required":["credits_used","usd_spent"]}},"description":"Additional details about the generation."}},"required":["audio"]}},"audio/wav":{"schema":{"type":"string","format":"binary","description":"Audio stream"}}}}}}}}}
```
## Code Example
{% tabs %}
{% tab title="Python" %}
{% code overflow="wrap" %}
```python
import requests
import json # for getting a structured output with indentation
# Insert your AI/ML API key instead of :
api_key = ""
base_url = "https://api.aimlapi.com/v1"
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
}
data = {
"model": "inworld/tts-1-5-max",
"text": "It is a fast and powerful language model. Use it to convert text to natural sounding spoken text.",
"voice": "Timothy",
}
response = requests.post(f"{base_url}/tts", headers=headers, json=data)
response.raise_for_status()
result = response.json()
print(json.dumps(result, indent=2, ensure_ascii=False))
```
{% endcode %}
{% endtab %}
{% tab title="JaveScript" %}
{% code overflow="wrap" %}
```javascript
const data = {
model: "inworld/tts-1-5-max",
text: "It is a fast and powerful language model. Use it to convert text to natural sounding spoken text.",
voice: "Timothy"
};
async function main() {
const response = await fetch(`https://api.aimlapi.com/v1/tts`, {
method: "POST",
headers: {
// Insert your AI/ML API key instead of
Authorization: `Bearer `,
"Content-Type": "application/json"
},
body: JSON.stringify(data)
});
if (!response.ok) {
const err = await response.text();
throw new Error(err);
}
const result = await response.json();
console.log(result);
}
main().catch(console.error);
```
{% endcode %}
{% endtab %}
{% endtabs %}
Response
{% code overflow="wrap" %}
```
{
"audio": {
"url": "https://cdn.aimlapi.com/generations/hippopotamus/1770761823703-16ec44cb-bd8a-4e1c-916e-e198f71e93e0.wav"
},
"meta": {
"usage": {
"credits_used": 2522
}
}
}
```
{% endcode %}
Listen to the audio sample we generated (\~ 3.2 s):
{% embed url="" %}
---
# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:
```
GET https://docs.aimlapi.com/api-references/speech-models/text-to-speech/inworld/tts-1-5-max.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.