Getting Started with Python Text-to-Speech: A Beginner’s Guide to pyttsx3

Ayushmaan Srivastav
4 min readJun 17, 2024

If you’ve ever wanted to make your Python programs talk, pyttsx3 is a fantastic library that allows you to convert text to speech easily. This tutorial will walk you through the basics of using pyttsx3 to control the speaking rate, volume, and voice of the text-to-speech output. By the end of this guide, you will also know how to save the speech to an audio file. Let's get started!

Step 1: Install pyttsx3

Before you begin, you need to install the pyttsx3 library. You can do this using pip, the Python package manager. Open your terminal or command prompt and run:

pip install pyttsx3

Step 2: Import and Initialize

To use pyttsx3, you first need to import it and initialize the text-to-speech engine. Here’s how you do it:

import pyttsx3
engine = pyttsx3.init() # Object creation

Step 3: Adjusting the Speaking Rate

The speaking rate is how fast the text is spoken. By default, the rate might be too fast or too slow for your needs. You can check the current speaking rate and set a new one as follows:

# Getting the current speaking rate
rate = engine.getProperty('rate')
print(f'Current speaking rate: {rate}') # Print current voice rate

# Setting a new speaking rate
engine.setProperty('rate', 125) # New rate (try experimenting with different values)

In this example, we first get the current rate, which typically defaults to around 200 words per minute, and then set it to 125 words per minute for a slower and clearer speech.

Step 4: Adjusting the Volume

Volume control in pyttsx3 is straightforward. The volume level ranges from 0.0 to 1.0. Here’s how you can get the current volume and set it to the maximum:

# Getting the current volume level
volume = engine.getProperty('volume')
print(f'Current volume level: {volume}') # Print current volume level

# Setting a new volume level
engine.setProperty('volume', 1.0) # Max volume

Step 5: Changing the Voice

pyttsx3 comes with different voice options (usually male and female voices). You can choose which voice to use by listing the available voices and then setting your preferred one:

# Getting the list of available voices
voices = engine.getProperty('voices')

# Selecting a voice (0 for male, 1 for female, etc.)
engine.setProperty('voice', voices[1].id) # Change to female voice

In the code above, voices[1].id refers to the second voice in the list, which is typically a female voice. You can change the index to select other voices available on your system.

Step 6: Making Your Program Speak

Now that you have set up the voice, rate, and volume, it’s time to make your program speak. Use the engine.say() method to add the text you want to be spoken:

# Adding text to be spoken
engine.say("Hello World!")
engine.say(f'My current speaking rate is {rate}')

# Run the speech engine
engine.runAndWait()

The engine.runAndWait() method processes the queued commands and makes the engine speak out the text.

Step 7: Saving Speech to an Audio File

pyttsx3 also allows you to save the spoken text to an audio file. This can be useful if you need to generate audio files for later use. Here’s how to save the speech to an MP3 file:

# Saving speech to an audio file
engine.save_to_file('Hello World', 'test.mp3')
engine.runAndWait()

In this example, the text “Hello World” is saved to test.mp3 in the current directory.

Complete Code Example

Here’s the complete code combining all the steps above:

import pyttsx3

# Initialize the engine
engine = pyttsx3.init()

# Adjust speaking rate
rate = engine.getProperty('rate')
print(f'Current speaking rate: {rate}')
engine.setProperty('rate', 125)

# Adjust volume
volume = engine.getProperty('volume')
print(f'Current volume level: {volume}')
engine.setProperty('volume', 1.0)

# Change voice
voices = engine.getProperty('voices')
engine.setProperty('voice', voices[1].id) # Selecting a female voice

# Make the engine speak
engine.say("Hello World!")
engine.say(f'My current speaking rate is {rate}')
engine.runAndWait()

# Save to a file
engine.save_to_file('Hello World', 'test.mp3')
engine.runAndWait()

# Stop the engine
engine.stop()

Conclusion

With these steps, you can easily incorporate text-to-speech functionality into your Python applications using pyttsx3. Experiment with different rates, volumes, and voices to see what works best for your needs. Whether you're developing an accessibility tool or just having fun with speech synthesis, pyttsx3 provides a simple and powerful way to make your Python programs speak.

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