Python 3 Microsoft Edge TTS Engine to Export Text to Speech as an MP3 Audio File

Exporting Text to Speech as an MP3 Audio File Using Python 3 and Microsoft Edge TTS Engine

Text-to-speech (TTS) technology is a powerful way to convert written text into spoken words, and Python makes it easy to work with TTS engines. In this guide, we’ll show you how to use Python 3 with the Microsoft Edge TTS engine to export text as an MP3 audio file.

Prerequisites

Before we dive into the steps, ensure you have the following:

Python 3 Installed: Download and install Python 3 from python.org.
Microsoft Edge Installed: The Edge browser comes pre-installed on most modern Windows systems.
Edge TTS Library: Install the edge-tts package to interact with the Microsoft Edge TTS engine.

Step 1: Install Required Python Libraries

Open a terminal or command prompt and run the following command to install the edge-tts library:

pip install edge-tts

1	pip install edge-tts

This library enables you to utilize Microsoft Edge’s TTS capabilities from Python.

Step 2: Write the Python Script

Create a Python script file, e.g., export_tts.py, and add the following code:

import asyncio
from edge_tts import Communicate

async def text_to_speech(text, output_file):
    """
    Convert text to speech and save it as an MP3 file.

    Args:
        text (str): The text to convert to speech.
        output_file (str): The path to save the MP3 file.
    """
    communicate = Communicate(text, voice="en-US-GuyNeural")  # Change the voice as needed
    await communicate.save(output_file)

if __name__ == "__main__":
    # Input text to convert to speech
    input_text = "Hello! This is a sample text-to-speech conversion using Microsoft Edge."

    # Output MP3 file path
    output_mp3 = "output.mp3"

    # Run the TTS conversion
    asyncio.run(text_to_speech(input_text, output_mp3))
    print(f"Audio file saved as {output_mp3}")

import asyncio

from edge_tts import Communicate

async def text_to_speech(text, output_file):

"""

Convert text to speech and save it as an MP3 file.

Args:

text (str): The text to convert to speech.

output_file (str): The path to save the MP3 file.

"""

communicate = Communicate(text, voice="en-US-GuyNeural") # Change the voice as needed

await communicate.save(output_file)

if __name__ == "__main__":

# Input text to convert to speech

input_text = "Hello! This is a sample text-to-speech conversion using Microsoft Edge."

# Output MP3 file path

output_mp3 = "output.mp3"

# Run the TTS conversion

asyncio.run(text_to_speech(input_text, output_mp3))

print(f"Audio file saved as {output_mp3}")

Change the Text: Replace the input_text variable with your desired text.
Choose a Voice: The voice parameter in the Communicate function specifies the TTS voice. You can find available voices in the Microsoft Edge TTS documentation.

Set the Output File Path: Modify output_mp3 to define where the MP3 file will be saved.

Step 4: Run the Script

Execute the script in your terminal or command prompt:

python export_tts.py

1	python export_tts.py

Step 5: Verify the MP3 File

Locate the output.mp3 file in your specified directory and play it using any media player to ensure the TTS conversion worked as expected.