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const axios = require('axios').default;
const api = axios.create({
baseURL: 'https://api.ai.cc/v1',
headers: { Authorization: 'Bearer ' },
});
const main = async () => {
const response = await api.post('/tts', {
model: 'openai/gpt-4o-mini-tts',
text: 'OpenAI TTS are fast and powerful language models. Use it to convert text to natural sounding spoken text.',
voice: 'coral',
});
console.log('Audio URL:', response.data.audio.url);
console.log('Characters:', response.data.usage.characters);
};
main();
import requests
def main():
url = "https://api.ai.cc/v1/tts"
headers = {
"Authorization": "Bearer ",
}
payload = {
"model": "openai/gpt-4o-mini-tts",
"text": "OpenAI TTS are fast and powerful language models. Use it to convert text to natural sounding spoken text.",
"voice": "coral"
}
response = requests.post(url, headers=headers, json=payload)
data = response.json()
print("Audio URL:", data["audio"]["url"])
print("Characters:", data["usage"]["characters"])
main()
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Product Detail
Overview
GPT-4o-mini-TTS is a state-of-the-art text-to-speech (TTS) model built upon the efficient GPT-4o mini architecture. It expertly transforms text into high-quality, realistic speech, featuring natural intonation and expressiveness. This model offers robust multilingual support and customizable voice parameters, making it an ideal solution for a diverse range of TTS applications.
Technical Specifications
- ✔️ Model Type: Based on GPT-4o mini architecture, optimized specifically for text-to-speech.
- ⚙️ Style Control: Customizable tone, emotion, pacing, and accent via prompt instructions.
- 🚀 Delivery Modes: Supports both synchronous and real-time streaming audio generation.
Performance Benchmarks
- 🔊 Realistic Voice Quality: Delivers natural prosody and intonation, thoroughly tested on standard TTS datasets.
- ⚡ Low Latency: Enables real-time interaction with an average streaming delay consistently under 100ms.
- 🌍 High Intelligibility: Achieves excellent scores across more than 40 international languages.
- 🎭 Expressive Outputs: Voice customization parameters result in highly expressive and emotionally varied audio.
- 🌐 Robust Multilingual Performance: Validated in noisy and accented speech synthesis environments for superior global use.
Key Features
- 🗣️ Human-like Intonation: Converts text to speech with incredibly natural, human-like intonation and phrasing.
- 🎙️ Diverse Voice Options: Supports 11 distinct built-in voices, spanning multiple styles and genders to suit various needs.
- 🌎 Extensive Language Support: Covers over 40 languages and dialects, leveraging the comprehensive Whisper language list.
- 🎚️ Fine-grained Customization: Offers adjustable settings for accent, emotion, intonation, speed, and timbre for precise control.
- 🎵 Multiple Audio Formats: Outputs high-quality audio in MP3, WAV, OPUS, FLAC, PCM, and other widely-used formats.
- ⏱️ Real-time Synthesis: Enables real-time speech synthesis and seamless streaming audio support for interactive applications.
- 🔄 Seamless Multi-language: Provides smooth multi-language support with effortless voice switching within content.
API Pricing
Experience high-quality TTS at a competitive rate: $0.00063 per 1,000 characters. This makes advanced speech synthesis remarkably affordable for a wide range of projects and applications.
Use Cases
- 💬 Voice Assistants: Powering conversational agents that require natural, multilingual speech output for seamless user interaction.
- 📚 E-learning & Audiobooks: Generating engaging educational content and audiobooks with adjustable emotion and pace for enhanced learning.
- ♿ Accessibility Tools: Providing realistic speech output for visually impaired users, enhancing digital accessibility.
- 📡 Live Communication: Enabling real-time communication aids and live broadcast voice synthesis for dynamic applications.
- 🎬 Multimedia Production: Perfect for custom voice branding and high-quality multimedia voiceover production across various media.
Code Sample
Integrating GPT-4o-mini-TTS into your application is straightforward via its API. Below is an illustrative example of how a typical code snippet would look.
// Python Example for GPT-4o-mini-TTS API Integration
// This section demonstrates a common API call.
import openai
# Replace with your actual API key
client = openai.OpenAI(api_key="YOUR_API_KEY")
try:
response = client.audio.speech.create(
model="gpt-4o-mini-tts",
voice="alloy", # Choose from "alloy", "echo", "fable", "onyx", "nova", "shimmer"
input="Hello, this is a test of the GPT-4o Mini Text-to-Speech model."
)
# Save the generated audio to a file
# response.stream_to_file("output_audio.mp3")
# Alternatively, you can stream the audio directly for real-time applications
# For example, playing it directly or sending it over a stream.
except Exception as e:
print(f"An error occurred: {e}")
Comparison with Other Models
💡 vs Google WaveNet:
Google WaveNet offers extremely high-fidelity audio but often lacks GPT-4o-mini-TTS's broad language and customization flexibility. GPT-4o-mini-TTS enables adjustable emotional intonation and real-time streaming capabilities, features that WaveNet generally does not fully support.
💡 vs OpenAI Whisper TTS:
OpenAI Whisper TTS primarily focuses on speech recognition with limited dedicated TTS development. In contrast, GPT-4o-mini-TTS specializes in expressive, multi-language speech synthesis with multiple voice options, designed for superior audio output.
💡 vs Amazon Polly:
Amazon Polly provides many voices and languages but is generally less flexible in real-time streaming and fine control of emotional parameters compared to GPT-4o-mini-TTS. GPT-4o-mini-TTS delivers richer customization and open-domain adaptability.
💡 vs Microsoft Azure TTS:
Azure TTS delivers competitive quality but may experience higher latency. GPT-4o-mini-TTS excels in low-latency streaming and supports an even broader number of languages and voice customizations, offering a distinct advantage.
API Integration
GPT-4o-mini-TTS is conveniently accessible via the AI/ML API. For comprehensive technical details and integration guidelines, refer to the official API Documentation: available here.
Frequently Asked Questions (FAQs)
❓ What is the GPT-4o Mini TTS AI model?
GPT-4o Mini TTS is an efficient text-to-speech model from OpenAI's GPT-4o mini series, designed for high-quality speech synthesis with optimized performance and cost-effectiveness across various applications.
❓ What are the main advantages of GPT-4o Mini TTS?
GPT-4o Mini TTS offers excellent voice quality, fast generation speeds, competitive pricing, reliable performance, and seamless integration while consistently producing natural-sounding speech output.
❓ How much does GPT-4o Mini TTS cost?
GPT-4o Mini TTS offers highly competitive pricing, with rates starting from $0.00063 per 1,000 characters, positioning it as an affordable high-quality TTS solution.
❓ What languages and audio formats does GPT-4o Mini TTS support?
The model supports over 40 languages and dialects, ensuring broad global applicability. It outputs high-quality audio in multiple formats including MP3, WAV, OPUS, FLAC, and PCM.
❓ Is GPT-4o Mini TTS suitable for real-time applications?
Absolutely. With its fast generation speed and low latency (average streaming delay under 100ms), GPT-4o Mini TTS is exceptionally well-suited for real-time applications, including voice assistants and interactive systems.
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