Text-to-Speech - Electron Hub API

Create Speech

curl --request POST \
  --url https://api.electronhub.ai/v1/audio/speech \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "tts-1",
  "input": "Hello, world! This is a text-to-speech example.",
  "voice": "alloy",
  "response_format": "mp3",
  "speed": 1,
  "temperature": 1,
  "top_p": 0.5,
  "instructions": "<string>",
  "speaker_transcript": "<string>",
  "cfg_filter_top_k": 32,
  "cfg_scale": 3,
  "speech_rate": 0,
  "pitch_adjustment": 0,
  "emotional_style": "<string>"
}
'

import requests

url = "https://api.electronhub.ai/v1/audio/speech"

payload = {
    "model": "tts-1",
    "input": "Hello, world! This is a text-to-speech example.",
    "voice": "alloy",
    "response_format": "mp3",
    "speed": 1,
    "temperature": 1,
    "top_p": 0.5,
    "instructions": "<string>",
    "speaker_transcript": "<string>",
    "cfg_filter_top_k": 32,
    "cfg_scale": 3,
    "speech_rate": 0,
    "pitch_adjustment": 0,
    "emotional_style": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: 'tts-1',
    input: 'Hello, world! This is a text-to-speech example.',
    voice: 'alloy',
    response_format: 'mp3',
    speed: 1,
    temperature: 1,
    top_p: 0.5,
    instructions: '<string>',
    speaker_transcript: '<string>',
    cfg_filter_top_k: 32,
    cfg_scale: 3,
    speech_rate: 0,
    pitch_adjustment: 0,
    emotional_style: '<string>'
  })
};

fetch('https://api.electronhub.ai/v1/audio/speech', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.electronhub.ai/v1/audio/speech",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'model' => 'tts-1',
    'input' => 'Hello, world! This is a text-to-speech example.',
    'voice' => 'alloy',
    'response_format' => 'mp3',
    'speed' => 1,
    'temperature' => 1,
    'top_p' => 0.5,
    'instructions' => '<string>',
    'speaker_transcript' => '<string>',
    'cfg_filter_top_k' => 32,
    'cfg_scale' => 3,
    'speech_rate' => 0,
    'pitch_adjustment' => 0,
    'emotional_style' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.electronhub.ai/v1/audio/speech"

	payload := strings.NewReader("{\n  \"model\": \"tts-1\",\n  \"input\": \"Hello, world! This is a text-to-speech example.\",\n  \"voice\": \"alloy\",\n  \"response_format\": \"mp3\",\n  \"speed\": 1,\n  \"temperature\": 1,\n  \"top_p\": 0.5,\n  \"instructions\": \"<string>\",\n  \"speaker_transcript\": \"<string>\",\n  \"cfg_filter_top_k\": 32,\n  \"cfg_scale\": 3,\n  \"speech_rate\": 0,\n  \"pitch_adjustment\": 0,\n  \"emotional_style\": \"<string>\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.electronhub.ai/v1/audio/speech")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"tts-1\",\n  \"input\": \"Hello, world! This is a text-to-speech example.\",\n  \"voice\": \"alloy\",\n  \"response_format\": \"mp3\",\n  \"speed\": 1,\n  \"temperature\": 1,\n  \"top_p\": 0.5,\n  \"instructions\": \"<string>\",\n  \"speaker_transcript\": \"<string>\",\n  \"cfg_filter_top_k\": 32,\n  \"cfg_scale\": 3,\n  \"speech_rate\": 0,\n  \"pitch_adjustment\": 0,\n  \"emotional_style\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.electronhub.ai/v1/audio/speech")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model\": \"tts-1\",\n  \"input\": \"Hello, world! This is a text-to-speech example.\",\n  \"voice\": \"alloy\",\n  \"response_format\": \"mp3\",\n  \"speed\": 1,\n  \"temperature\": 1,\n  \"top_p\": 0.5,\n  \"instructions\": \"<string>\",\n  \"speaker_transcript\": \"<string>\",\n  \"cfg_filter_top_k\": 32,\n  \"cfg_scale\": 3,\n  \"speech_rate\": 0,\n  \"pitch_adjustment\": 0,\n  \"emotional_style\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body

"<string>"

POST

audio

speech

Create Speech

curl --request POST \
  --url https://api.electronhub.ai/v1/audio/speech \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "tts-1",
  "input": "Hello, world! This is a text-to-speech example.",
  "voice": "alloy",
  "response_format": "mp3",
  "speed": 1,
  "temperature": 1,
  "top_p": 0.5,
  "instructions": "<string>",
  "speaker_transcript": "<string>",
  "cfg_filter_top_k": 32,
  "cfg_scale": 3,
  "speech_rate": 0,
  "pitch_adjustment": 0,
  "emotional_style": "<string>"
}
'

import requests

url = "https://api.electronhub.ai/v1/audio/speech"

payload = {
    "model": "tts-1",
    "input": "Hello, world! This is a text-to-speech example.",
    "voice": "alloy",
    "response_format": "mp3",
    "speed": 1,
    "temperature": 1,
    "top_p": 0.5,
    "instructions": "<string>",
    "speaker_transcript": "<string>",
    "cfg_filter_top_k": 32,
    "cfg_scale": 3,
    "speech_rate": 0,
    "pitch_adjustment": 0,
    "emotional_style": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: 'tts-1',
    input: 'Hello, world! This is a text-to-speech example.',
    voice: 'alloy',
    response_format: 'mp3',
    speed: 1,
    temperature: 1,
    top_p: 0.5,
    instructions: '<string>',
    speaker_transcript: '<string>',
    cfg_filter_top_k: 32,
    cfg_scale: 3,
    speech_rate: 0,
    pitch_adjustment: 0,
    emotional_style: '<string>'
  })
};

fetch('https://api.electronhub.ai/v1/audio/speech', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.electronhub.ai/v1/audio/speech",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'model' => 'tts-1',
    'input' => 'Hello, world! This is a text-to-speech example.',
    'voice' => 'alloy',
    'response_format' => 'mp3',
    'speed' => 1,
    'temperature' => 1,
    'top_p' => 0.5,
    'instructions' => '<string>',
    'speaker_transcript' => '<string>',
    'cfg_filter_top_k' => 32,
    'cfg_scale' => 3,
    'speech_rate' => 0,
    'pitch_adjustment' => 0,
    'emotional_style' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.electronhub.ai/v1/audio/speech"

	payload := strings.NewReader("{\n  \"model\": \"tts-1\",\n  \"input\": \"Hello, world! This is a text-to-speech example.\",\n  \"voice\": \"alloy\",\n  \"response_format\": \"mp3\",\n  \"speed\": 1,\n  \"temperature\": 1,\n  \"top_p\": 0.5,\n  \"instructions\": \"<string>\",\n  \"speaker_transcript\": \"<string>\",\n  \"cfg_filter_top_k\": 32,\n  \"cfg_scale\": 3,\n  \"speech_rate\": 0,\n  \"pitch_adjustment\": 0,\n  \"emotional_style\": \"<string>\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.electronhub.ai/v1/audio/speech")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"tts-1\",\n  \"input\": \"Hello, world! This is a text-to-speech example.\",\n  \"voice\": \"alloy\",\n  \"response_format\": \"mp3\",\n  \"speed\": 1,\n  \"temperature\": 1,\n  \"top_p\": 0.5,\n  \"instructions\": \"<string>\",\n  \"speaker_transcript\": \"<string>\",\n  \"cfg_filter_top_k\": 32,\n  \"cfg_scale\": 3,\n  \"speech_rate\": 0,\n  \"pitch_adjustment\": 0,\n  \"emotional_style\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.electronhub.ai/v1/audio/speech")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model\": \"tts-1\",\n  \"input\": \"Hello, world! This is a text-to-speech example.\",\n  \"voice\": \"alloy\",\n  \"response_format\": \"mp3\",\n  \"speed\": 1,\n  \"temperature\": 1,\n  \"top_p\": 0.5,\n  \"instructions\": \"<string>\",\n  \"speaker_transcript\": \"<string>\",\n  \"cfg_filter_top_k\": 32,\n  \"cfg_scale\": 3,\n  \"speech_rate\": 0,\n  \"pitch_adjustment\": 0,\n  \"emotional_style\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body

"<string>"

Generate high-quality speech audio from text using our collection of state-of-the-art text-to-speech models from leading AI providers.

Create Speech

POST /audio/speech Convert text to natural-sounding speech audio.

Request Body

string

required

The TTS model to use for speech generation (e.g., “tts-1”, “tts-1-hd”, “elevenlabs”)

Text Input Parameters

string

The text to convert to speech (1-4096 characters)

Voice Parameters

string

Voice name or ID for speech generation

Common Parameters

string

The audio format for the generated speech (“mp3”, “opus”, “aac”, “flac”, “wav”, “pcm”)

number

The speed of the generated audio (0.25 to 4.0 for most models, default: 1.0)

number

Temperature for randomness in speech generation (0.0 to 2.0)

Advanced Parameters

string

GPT-4o Mini TTS: Additional instructions to control voice characteristics

string

Dia model: Speaker transcript for enhanced voice control (max 1000 chars)

integer

Dia model: CFG filter top k value (15-50)

integer

Dia model: CFG scale value for generation control (1-5)

integer

Microsoft TTS: Speech rate adjustment (-100 to 100, default: 0)

integer

Microsoft TTS: Pitch adjustment (-100 to 100, default: 0)

string

Microsoft TTS: Emotional style (e.g., “cheerful”, “sad”, “angry”)

Response

Returns an audio file in the specified format.

Basic Example

const response = await fetch('https://api.electronhub.ai/v1/audio/speech', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'tts-1',
    input: 'Hello! Welcome to Electron Hub text-to-speech.',
    voice: 'alloy',
    response_format: 'mp3'
  })
});

const audioBuffer = await response.arrayBuffer();
const fs = require('fs');
fs.writeFileSync('speech.mp3', Buffer.from(audioBuffer));

import requests

response = requests.post(
    'https://api.electronhub.ai/v1/audio/speech',
    headers={
        'Authorization': 'Bearer YOUR_API_KEY',
        'Content-Type': 'application/json'
    },
    json={
        'model': 'tts-1',
        'input': 'Hello! Welcome to Electron Hub text-to-speech.',
        'voice': 'alloy',
        'response_format': 'mp3'
    }
)

with open('speech.mp3', 'wb') as f:
    f.write(response.content)

curl https://api.electronhub.ai/v1/audio/speech \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "tts-1",
    "input": "Hello! Welcome to Electron Hub text-to-speech.",
    "voice": "alloy",
    "response_format": "mp3"
  }' \
  --output speech.mp3

Provider-Specific Examples

OpenAI Models (TTS-1, TTS-1 HD, GPT-4o Mini TTS)

{
  "model": "tts-1",
  "input": "Hello, world!",
  "voice": "alloy",
  "speed": 1.0
}

{
  "model": "gpt-4o-mini-tts",
  "input": "Welcome to our store!",
  "voice": "nova",
  "instructions": "Speak with enthusiasm and excitement, like a friendly shopkeeper"
}

ElevenLabs Models

{
  "model": "elevenlabs",
  "input": "Hello, this is ElevenLabs TTS.",
  "voice": "Will (US male)"
}

requests.post(
    'https://api.electronhub.ai/v1/audio/speech',
    json={
        'model': 'elevenlabs',
        'input': 'Bonjour, je parle français!',
        'voice': 'Guillaume (French male)'
    }
)

Kokoro 82M Model

{
  "model": "kokoro-82m",
  "input": "Hello from Kokoro TTS!",
  "voice": "af_alloy",
  "speed": 1.2
}

requests.post(
    'https://api.electronhub.ai/v1/audio/speech',
    json={
        'model': 'kokoro-82m',
        'input': 'こんにちは、世界！',
        'voice': 'jf_alpha'
    }
)

NariLabs Dia Model (Advanced)

{
  "model": "dia-1.6b",
  "input": "Hello, this is a conversational speech example.",
  "speaker_transcript": "Speaking in a calm, professional tone",
  "cfg_scale": 3,
  "cfg_filter_top_k": 25,
  "temperature": 1.2,
  "speed": 0.9
}

requests.post(
    'https://api.electronhub.ai/v1/audio/speech',
    json={
        'model': 'dia-1.6b',
        'input': 'Let me tell you a story...',
        'speaker_transcript': 'Narrator voice with dramatic pauses',
        'cfg_scale': 4,
        'temperature': 1.3
    }
)

MeloTTS Multilingual

{
  "model": "melotts",
  "input": "Bonjour, comment allez-vous?",
  "voice": "fr"
}

# English
requests.post('/v1/audio/speech', json={'model': 'melotts', 'input': 'Hello world', 'voice': 'en'})

# Spanish  
requests.post('/v1/audio/speech', json={'model': 'melotts', 'input': 'Hola mundo', 'voice': 'es'})

# Chinese
requests.post('/v1/audio/speech', json={'model': 'melotts', 'input': '你好世界', 'voice': 'zh'})

PlayAI Dialog Models

{
  "model": "playai-tts",
  "input": "This is a conversational AI speaking.",
  "voice": "Celeste-PlayAI",
  "temperature": 0.8
}

requests.post(
    'https://api.electronhub.ai/v1/audio/speech',
    json={
        'model': 'playai-tts-arabic',
        'input': 'مرحبا بكم في الذكاء الاصطناعي',
        'voice': 'Nasser-PlayAI'
    }
)

Microsoft TTS

{
  "model": "microsoft-tts",
  "input": "Hello, this is Microsoft Azure Text-to-Speech.",
  "voice": "en-US-JennyNeural"
}

{
  "model": "microsoft-tts",
  "input": "Welcome to our exciting new product launch!",
  "voice": "en-US-AriaNeural",
  "speech_rate": 10,
  "pitch_adjustment": 5,
  "emotional_style": "cheerful"
}

requests.post(
    'https://api.electronhub.ai/v1/audio/speech',
    json={
        'model': 'microsoft-tts',
        'input': '你好，欢迎使用微软语音合成服务！',
        'voice': 'zh-CN-XiaoxiaoNeural',
        'speech_rate': -10,
        'emotional_style': 'gentle'
    }
)

requests.post(
    'https://api.electronhub.ai/v1/audio/speech',
    json={
        'model': 'microsoft-tts',
        'input': 'I am so sorry to hear about that.',
        'voice': 'en-US-SaraNeural',
        'emotional_style': 'sad',
        'speech_rate': -20
    }
)

Available Models

OpenAI Models

TTS-1 (tts-1)

Optimized for real-time text-to-speech
Cost-effective for most applications
11 available voices: alloy, ash, ballad, coral, echo, fable, onyx, nova, sage, shimmer, verse

TTS-1 HD (tts-1-hd)

High-quality text-to-speech
Best audio quality with slower generation
Same 11 voices as TTS-1

GPT-4o Mini TTS (gpt-4o-mini-tts)

Advanced TTS with instruction following
Supports voice control via instructions
Same 11 voices as TTS-1

Premium Models

ElevenLabs (elevenlabs)

Ultra-realistic human-like voices
40+ multilingual voices
Supports English, Spanish, French, German, Arabic, Chinese, Hindi, Polish

PlayAI Dialog (playai-tts)

Specialized for conversational content
27 expressive voices
Optimized for dialogue and storytelling

Specialized Models

Kokoro 82M (kokoro-82m)

Lightweight but high-quality
80+ voices in multiple languages
Open-source Apache-licensed model

Microsoft TTS (microsoft-tts)

Enterprise-grade quality
100+ neural voices
Extensive language support

Voice Examples

OpenAI Voices

// Available voices for OpenAI models
const openaiVoices = [
  'alloy',    // Neutral, balanced
  'echo',     // Clear, professional
  'fable',    // Warm, storytelling
  'onyx',     // Deep, authoritative
  'nova',     // Bright, energetic
  'shimmer'   // Gentle, soothing
];

ElevenLabs Voices

// Sample of ElevenLabs voices by language
const elevenlabsVoices = {
  english: ['Will (US male)', 'Jessica (US female)', 'George (UK male)', 'Lily (UK female)'],
  spanish: ['Juan (Spanish male)', 'Gabriela (Spanish female)'],
  french: ['Guillaume (French male)', 'Darine (French female)'],
  german: ['Kurt (German male)', 'Leonie (German female)']
};

// Use with voice parameter and text input
{
  "model": "elevenlabs",
  "input": "Hello world",
  "voice": "Will (US male)"
}

Microsoft TTS Voices

// Sample of Microsoft Azure Neural voices
const microsoftVoices = {
  english: [
    'en-US-JennyNeural',    // Friendly female
    'en-US-GuyNeural',      // Casual male
    'en-US-AriaNeural',     // News anchor style
    'en-US-DavisNeural',    // Professional male
    'en-GB-SoniaNeural',    // British female
    'en-AU-NatashaNeural'   // Australian female
  ],
  chinese: [
    'zh-CN-XiaoxiaoNeural',  // Standard female
    'zh-CN-YunyangNeural',   // Professional male
    'zh-HK-HiuMaanNeural',   // Hong Kong Cantonese
    'zh-TW-HsiaoChenNeural'  // Taiwan Mandarin
  ],
  multilingual: [
    'es-ES-ElviraNeural',    // Spanish
    'fr-FR-DeniseNeural',    // French
    'de-DE-KatjaNeural',     // German
    'ja-JP-NanamiNeural',    // Japanese
    'ko-KR-SunHiNeural'      // Korean
  ]
};

// Use with text input and advanced controls
{
  "model": "microsoft-tts",
  "input": "Hello world",
  "voice": "en-US-AriaNeural",
  "emotional_style": "cheerful",
  "speech_rate": 10
}

Model-Specific Parameters

Provider	Special Parameters	Usage
GPT-4o Mini TTS	`instructions`	Natural language voice control
Dia 1.6B	`speaker_transcript`, `cfg_scale`, `cfg_filter_top_k`	Advanced voice conditioning
Microsoft TTS	`speech_rate`, `pitch_adjustment`, `emotional_style`	Voice modulation and emotions
MeloTTS	`lang`	Language selection (en, fr, es, etc.)
All Models	`speed`, `temperature`, `top_p`	Common generation controls

Advanced Features

Speed Control

Adjust playback speed for different use cases:

{
  "model": "tts-1",
  "input": "This text will be spoken faster.",
  "voice": "alloy",
  "speed": 1.5
}

Audio Formats

Choose the optimal format for your application:

MP3: Standard, widely compatible
WAV: Uncompressed, highest quality
OGG/Opus: Efficient compression
FLAC: Lossless compression
AAC: Good balance of quality and size

Instruction-Based Control (GPT-4o Mini TTS)

Control voice characteristics with natural language:

{
  "model": "gpt-4o-mini-tts",
  "input": "Welcome to our store!",
  "voice": "alloy",
  "instructions": "Speak with enthusiasm and excitement, like a friendly shopkeeper"
}

Microsoft TTS Advanced Controls

Microsoft TTS offers fine-grained control over speech characteristics:

Speech Rate Control

{
  "model": "microsoft-tts",
  "input": "This text will be spoken faster.",
  "voice": "en-US-JennyNeural",
  "speech_rate": 50
}

Pitch Adjustment

{
  "model": "microsoft-tts",
  "input": "This text has a higher pitch.",
  "voice": "en-US-AriaNeural",
  "pitch_adjustment": 25
}

Emotional Styles

Different voices support different emotional styles:

{
  "model": "microsoft-tts",
  "input": "I'm so excited about this news!",
  "voice": "en-US-AriaNeural",
  "emotional_style": "cheerful",
  "speech_rate": 10
}

Available Emotional Styles (voice-dependent):

cheerful - Happy and upbeat
sad - Melancholic tone
angry - Frustrated or upset
fearful - Nervous or scared
calm - Relaxed and peaceful
gentle - Soft and caring
newscast - Professional news anchor
customerservice - Helpful and polite

Best Practices

Text Optimization

Use clear punctuation for natural pauses
Spell out numbers and abbreviations
Use SSML tags for fine-grained control (model-dependent)

Voice Selection

Customer Service: Professional voices (echo, George)
Storytelling: Warm voices (fable, nova)
Educational: Clear voices (alloy, shimmer)
Gaming: Character voices (onyx, sage)

Performance Tips

Cache generated audio when possible
Use appropriate audio formats for your platform
Consider real-time vs. high-quality models based on use case

Error Handling

Common error scenarios:

try {
  const response = await fetch('/v1/audio/speech', {
    method: 'POST',
    headers: {
      'Authorization': 'Bearer YOUR_API_KEY',
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      model: 'tts-1',
      input: text,
      voice: 'alloy'
    })
  });

  if (!response.ok) {
    const error = await response.json();
    console.error('TTS Error:', error);
  }
} catch (error) {
  console.error('Network Error:', error);
}

Use Cases

Voice Assistants: Natural conversation interfaces
Audiobooks: Long-form content narration
E-learning: Educational content delivery
Accessibility: Screen reader alternatives
Gaming: Character voice generation
Customer Service: Automated phone systems
Content Creation: Podcast and video narration

Authorizations

Authorization

string

header

required

Enter your API key (starts with 'ek-')

Body

application/json

model

string

required

The TTS model to use for speech generation

Example:

"tts-1"

input

string

The text to convert to speech (OpenAI models)

Required string length: 1 - 4096

Example:

"Hello, world! This is a text-to-speech example."

voice

string

The voice to use for speech generation (OpenAI, Orpheus, PlayAI, ElevenLabs models)

Example:

"alloy"

response_format

enum<string>

default:mp3

The audio format for the generated speech

Available options:

mp3,

opus,

aac,

flac,

wav,

pcm

speed

number

default:1

The speed of the generated audio

Required range: 0.25 <= x <= 4

temperature

number

Temperature for randomness in speech generation

Required range: 0 <= x <= 2

top_p

number

Top-p value for nucleus sampling

Required range: 0 <= x <= 1

instructions

string

Additional instructions to control voice generation (GPT-4o Mini TTS)

speaker_transcript

string

Speaker transcript for Dia model

Maximum string length: 1000

cfg_filter_top_k

integer

CFG filter top k value (Dia model)

Required range: 15 <= x <= 50

cfg_scale

integer

CFG scale value (Dia model)

Required range: 1 <= x <= 5

speech_rate

integer

default:0

Speech rate adjustment for Microsoft TTS (-100 to 100)

Required range: -100 <= x <= 100

pitch_adjustment

integer

default:0

Pitch adjustment for Microsoft TTS (-100 to 100)

Required range: -100 <= x <= 100

emotional_style

string

Emotional style for Microsoft TTS (e.g., 'cheerful', 'sad', 'angry')

Response

Audio file

The response is of type file.

​Create Speech

​Request Body

​Text Input Parameters

​Voice Parameters

​Common Parameters

​Advanced Parameters

​Response

​Basic Example

​Provider-Specific Examples

​OpenAI Models (TTS-1, TTS-1 HD, GPT-4o Mini TTS)

​ElevenLabs Models

​Kokoro 82M Model

​NariLabs Dia Model (Advanced)

​MeloTTS Multilingual

​PlayAI Dialog Models

​Microsoft TTS

​Available Models

​OpenAI Models

​Premium Models

​Specialized Models

​Voice Examples

​OpenAI Voices

​ElevenLabs Voices

​Microsoft TTS Voices

​Model-Specific Parameters

​Advanced Features

​Speed Control

​Audio Formats

​Instruction-Based Control (GPT-4o Mini TTS)

​Microsoft TTS Advanced Controls

​Speech Rate Control

​Pitch Adjustment

​Emotional Styles

​Best Practices

​Text Optimization

​Voice Selection

​Performance Tips

​Error Handling

​Use Cases

Authorizations

Body

Response

Create Speech

Request Body

Text Input Parameters

Voice Parameters

Common Parameters

Advanced Parameters

Response

Basic Example

Provider-Specific Examples

OpenAI Models (TTS-1, TTS-1 HD, GPT-4o Mini TTS)

ElevenLabs Models

Kokoro 82M Model

NariLabs Dia Model (Advanced)

MeloTTS Multilingual

PlayAI Dialog Models

Microsoft TTS

Available Models

OpenAI Models

Premium Models

Specialized Models

Voice Examples

OpenAI Voices

ElevenLabs Voices

Microsoft TTS Voices

Model-Specific Parameters

Advanced Features

Speed Control

Audio Formats

Instruction-Based Control (GPT-4o Mini TTS)

Microsoft TTS Advanced Controls

Speech Rate Control

Pitch Adjustment

Emotional Styles

Best Practices

Text Optimization

Voice Selection

Performance Tips

Error Handling

Use Cases