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Summary

This webpage provides Python code to convert text to speech using the OpenAI API, along with information on the API's features, supported languages, and audio quality.

Abstract

The webpage titled "OpenAI API Text To Speech with Python Code" offers a Python script that utilizes the OpenAI API to convert text into speech. The OpenAI API features a dedicated text-to-speech (TTS) endpoint named 'speech', powered by an advanced TTS model. The API offers six pre-integrated voices and is versatile enough for a range of applications, including narrating written blog posts, generating spoken audio in various languages, and providing real-time audio output through streaming. The code provided in the article will convert text to audio speech using the OpenAI API. The standard tts-1 model offers lower latency for real-time applications, albeit with lesser quality compared to the tts-1-hd model. The API supports a wide range of languages, including but not limited to English, Spanish, French, German, Italian, Dutch, and many more.

Bullet points

  • The webpage provides Python code to convert text to speech using the OpenAI API.
  • The OpenAI API features a dedicated text-to-speech (TTS) endpoint named 'speech'.
  • The API offers six pre-integrated voices and is versatile for various applications.
  • The code provided in the article will convert text to audio speech using the OpenAI API.
  • The standard tts-1 model offers lower latency for real-time applications but with lesser quality compared to the tts-1-hd model.
  • The API supports a wide range of languages.

OpenAI API Text To Speech with Python Code

Creating human-like voices that emulate emotions, and deeply connect with the end users will empower your unique narrative by making bonds with all your readers and users is now possible with OpenAI API that gets text as input and generates voices with the text provided!

Text to Speech OpenAI API by the author

OpenAI has released the most powerful Text to Speech on the Market

Introduction

The Audio API features a dedicated text-to-speech (TTS) endpoint named 'speech', powered by our advanced TTS model. This API offers six pre-integrated voices and is versatile enough for a range of applications, including:

  • Narrating written blog posts with an engaging audio version.
  • Generating spoken audio in various languages, broadening accessibility.
  • Providing real-time audio output through streaming, ideal for dynamic content delivery.

Python Code Text To Speech OpenAI API

This code will convert text to audio speech using the OpenAI API.

Run this command on your terminal:

pip install --upgrade openai

Filename: textToSpeech.py

from pathlib import Path
from openai import OpenAI
import os
#voices (alloy, echo, fable, onyx, nova, and shimmer)
with open('key.txt', 'r') as file:
  first_line = file.readline()
os.environ["OPENAI_API_KEY"] = first_line
client = OpenAI()


speech_file_path = Path(__file__).parent / "speech.mp3"
response = client.audio.speech.create(
  model="tts-1-hd",
  voice="alloy", 
  input="Ascendance is empowering Science and Tech!"
)

response.stream_to_file(speech_file_path)
print(speech_file_path)

Create a file named: key.txt put your API key on the first line with no spaces.

Audio Quality

The standard tts-1 model offers lower latency for real-time applications, albeit with lesser quality compared to the tts-1-hd model. tts-1 may produce more static under certain conditions, but the difference may be imperceptible depending on the listening device and listener.

Choose your voice from

(alloy, echo, fable, onyx, nova, and shimmer)

Supported Languages

Afrikaans, Arabic, Armenian, Azerbaijani, Belarusian, Bosnian, Bulgarian, Catalan, Chinese, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, Galician, German, Greek, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Italian, Japanese, Kannada, Kazakh, Korean, Latvian, Lithuanian, Macedonian, Malay, Marathi, Maori, Nepali, Norwegian, Persian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Slovenian, Spanish, Swahili, Swedish, Tagalog, Tamil, Thai, Turkish, Ukrainian, Urdu, Vietnamese, and Welsh.

Top 5 ideas to create YouTube videos using dalle-3 and Text To Speech OpenAI API

Creating YouTube videos using DALL-E 3 and OpenAI’s Text-to-Speech API can offer a unique and engaging experience for viewers. Here are the top 5 ideas for such videos:

Futuristic Storytelling Series:

Create a series of short stories set in a futuristic or sci-fi world. Use DALL-E 3 to generate captivating visuals that bring these stories to life, such as landscapes, characters, and technology. Combine these visuals with OpenAI’s Text-to-Speech to narrate the stories, providing an immersive audio-visual experience. Educational Content with Illustrated Concepts:

Develop educational videos on complex topics like science, tech, history, or art. Use DALL-E 3 to create custom illustrations that explain these concepts visually. The Text-to-Speech API can be used to provide clear, engaging narration, making the content accessible to a wider audience, including those with visual impairments. Art and Design Tutorials:

Cultural Exploration Series:

Create videos that explore different cultures and their stories, myths, or folklore. Use DALL-E 3 to visually represent these cultural narratives, and employ Text-to-Speech for narration, possibly in different languages or accents to add authenticity. Interactive AI Podcast and News on Tech, Science, Political, etc:

Start a podcast-style series where you discuss various AI-related topics, trends, or news. Use DALL-E 3 to create thematic visuals for each episode, and integrate Text-to-Speech narrations or dramatizations to enhance viewer engagement.

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Rust Programming for Beginners Simplified Version: Learn Rust Programming and Basic Concepts with a more intuitive approach: using colors, mind maps

Python
Python Programming
OpenAI
Text To Speech
API
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