API Reference

OpenAI Text to Speech

POST https://api.tu-zi.com/v1/audio/speech

Preview guide

Paste into an AI assistant to help with integration. Documentation and examples only; no real credentials.

# OpenAI Text to Speech

OpenAI Text to Speech

## Endpoint and authentication

`POST https://api.tu-zi.com/v1/audio/speech`

Transport: json

Use an inference API key. Examples contain placeholders; read credentials from environment variables.

```http
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json
```

## Body parameters

| Field | Type | Required | Description / constraints |
| --- | --- | --- | --- |
| model | string | Yes | Model identifier. |
| input | string | Yes | Text to synthesize as speech. |
| voice | string | Yes | Voice identifier. Form initial value (not an upstream default): "alloy" Values: "alloy", "echo", "fable", "onyx", "nova", "shimmer" |
| response_format | string | No | Audio output format. Form initial value (not an upstream default): "mp3" Values: "mp3", "wav", "opus", "aac", "flac", "pcm" |
| speed | number | No | Speech speed multiplier. Range in this definition: 0.25 ~ 4 |

## Minimal request example

```json
{
  "model": "YOUR_MODEL",
  "input": "Hello",
  "voice": "YOUR_SUPPORTED_VOICE"
}
```

## Before running

Replace https://api.tu-zi.com with this site origin (do not append /v1 twice), and YOUR_MODEL with the exact marketplace model ID. Install requests for Python; use Node.js 20+ and save JavaScript as .mjs. WebSocket samples list their own dependencies.

Create an inference key on the site and set API_KEY in the environment; replace YOUR_API_KEY in cURL. Prepare local input.png/input.wav files for upload examples.

Start with a minimal request, then read the result using the response fields below. For async APIs, a returned task ID requires polling; acceptance does not mean generation has finished.

## Code examples

### curl

```bash
curl --request POST 'https://api.tu-zi.com/v1/audio/speech' \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
  "model": "YOUR_MODEL",
  "input": "Hello",
  "voice": "YOUR_SUPPORTED_VOICE"
}' \
  --output 'output.audio'
```

### python

```python
import json
import os
import requests

url = "https://api.tu-zi.com/v1/audio/speech"
headers = json.loads("{\"Authorization\":\"Bearer YOUR_API_KEY\",\"Content-Type\":\"application/json\"}")
headers["Authorization"] = "Bearer " + os.environ["API_KEY"]
payload = json.loads("{\"model\":\"YOUR_MODEL\",\"input\":\"Hello\",\"voice\":\"YOUR_SUPPORTED_VOICE\"}")
response = requests.request("POST", url, headers=headers, json=payload, timeout=120)
response.raise_for_status()
if "json" in response.headers.get("Content-Type", "").lower():
    raise RuntimeError("Expected binary content, received JSON: " + response.text)
with open("output.audio", "wb") as output:
    output.write(response.content)
```

### javascript

```javascript
import { writeFile } from 'node:fs/promises';
// Node.js 20+
const url = "https://api.tu-zi.com/v1/audio/speech";
const headers = {
  "Authorization": "Bearer YOUR_API_KEY",
  "Content-Type": "application/json"
};
headers.Authorization = 'Bearer ' + process.env.API_KEY;
const response = await fetch(url, { method: "POST", headers, body: JSON.stringify({
  "model": "YOUR_MODEL",
  "input": "Hello",
  "voice": "YOUR_SUPPORTED_VOICE"
}) });
if (!response.ok) throw new Error(await response.text());
if ((response.headers.get("content-type") || "").toLowerCase().includes("json")) throw new Error("Expected binary content, received JSON: " + await response.text());
await writeFile("output.audio", Buffer.from(await response.arrayBuffer()));
```

## Response fields

| Field | Type | Description / constraints |
| --- | --- | --- |
| response body | binary | Usually audio bytes; save according to response Content-Type. |

## Errors and retries

Check HTTP status and protocol-specific errors; do not mix error formats across protocols. For 401/403 check credentials and permissions, for 429 back off, and for 5xx check gateway/upstream status. Error bodies may contain error/message/code depending on the protocol.

Use bounded exponential backoff for reads. Do not blindly retry task creation, generation, or key mutations, to avoid duplicate billing or execution.

## Constraints

This page describes the base protocol. Use the selected model quick start for supported fields, enums, limits and asynchronous behavior. Replace YOUR_MODEL. Form initial values are not upstream defaults.

## Documentation source

Definition version: 1

Reviewed: 2026-11-02

Source: https://api.tu-zi.com/en/docs/api/reference-relay-audio-speech

Related protocol guide: https://api.tu-zi.com/docs/api/audio-realtime

This export contains documentation and examples only, without real credentials, account data or user requests.

Updated 2026-11-02 · Reviewed 2026-11-02

Endpoint and authentication

POST https://api.tu-zi.com/v1/audio/speech

Transport: json

Use an inference API key. Examples contain placeholders; read credentials from environment variables.

Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

Minimal request example

{
  "model": "YOUR_MODEL",
  "input": "Hello",
  "voice": "YOUR_SUPPORTED_VOICE"
}

Before running

Replace https://api.tu-zi.com with this site origin (do not append /v1 twice), and YOUR_MODEL with the exact marketplace model ID. Install requests for Python; use Node.js 20+ and save JavaScript as .mjs. WebSocket samples list their own dependencies.

Create an inference key on the site and set API_KEY in the environment; replace YOUR_API_KEY in cURL. Prepare local input.png/input.wav files for upload examples.

Start with a minimal request, then read the result using the response fields below. For async APIs, a returned task ID requires polling; acceptance does not mean generation has finished.

Constraints

This page describes the base protocol. Use the selected model quick start for supported fields, enums, limits and asynchronous behavior. Replace YOUR_MODEL. Form initial values are not upstream defaults.

Body parameters

Field	Type	Required	Description / constraints
model	string	Yes	Model identifier.
input	string	Yes	Text to synthesize as speech.
voice	string	Yes	Voice identifier. Form initial value (not an upstream default): "alloy" Values: "alloy", "echo", "fable", "onyx", "nova", "shimmer"
response_format	string	No	Audio output format. Form initial value (not an upstream default): "mp3" Values: "mp3", "wav", "opus", "aac", "flac", "pcm"
speed	number	No	Speech speed multiplier. Range in this definition: 0.25 ~ 4

Response fields

Field	Type	Description / constraints
response body	binary	Usually audio bytes; save according to response Content-Type.

Errors and retries

Check HTTP status and protocol-specific errors; do not mix error formats across protocols. For 401/403 check credentials and permissions, for 429 back off, and for 5xx check gateway/upstream status. Error bodies may contain error/message/code depending on the protocol.

Use bounded exponential backoff for reads. Do not blindly retry task creation, generation, or key mutations, to avoid duplicate billing or execution.

Document information and sources

Documentation source

Definition version: 1

Reviewed: 2026-11-02

Source: https://api.tu-zi.com/en/docs/api/reference-relay-audio-speech

Related protocol guide: https://api.tu-zi.com/docs/api/audio-realtime

This export contains documentation and examples only, without real credentials, account data or user requests.

Request examples

curl --request POST 'https://api.tu-zi.com/v1/audio/speech' \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
  "model": "YOUR_MODEL",
  "input": "Hello",
  "voice": "YOUR_SUPPORTED_VOICE"
}' \
  --output 'output.audio'

import json
import os
import requests

url = "https://api.tu-zi.com/v1/audio/speech"
headers = json.loads("{\"Authorization\":\"Bearer YOUR_API_KEY\",\"Content-Type\":\"application/json\"}")
headers["Authorization"] = "Bearer " + os.environ["API_KEY"]
payload = json.loads("{\"model\":\"YOUR_MODEL\",\"input\":\"Hello\",\"voice\":\"YOUR_SUPPORTED_VOICE\"}")
response = requests.request("POST", url, headers=headers, json=payload, timeout=120)
response.raise_for_status()
if "json" in response.headers.get("Content-Type", "").lower():
    raise RuntimeError("Expected binary content, received JSON: " + response.text)
with open("output.audio", "wb") as output:
    output.write(response.content)

import { writeFile } from 'node:fs/promises';
// Node.js 20+
const url = "https://api.tu-zi.com/v1/audio/speech";
const headers = {
  "Authorization": "Bearer YOUR_API_KEY",
  "Content-Type": "application/json"
};
headers.Authorization = 'Bearer ' + process.env.API_KEY;
const response = await fetch(url, { method: "POST", headers, body: JSON.stringify({
  "model": "YOUR_MODEL",
  "input": "Hello",
  "voice": "YOUR_SUPPORTED_VOICE"
}) });
if (!response.ok) throw new Error(await response.text());
if ((response.headers.get("content-type") || "").toLowerCase().includes("json")) throw new Error("Expected binary content, received JSON: " + await response.text());
await writeFile("output.audio", Buffer.from(await response.arrayBuffer()));