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Python client library | Google Cloud

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Cloud Text-to-Speech API: Synthesizes natural-sounding speech by applying powerful neural network models.

• Client Library Documentation

• Product Documentation

In order to use this library, you first need to go through the following steps:

1. Select or create a Cloud Platform project.

2. Enable billing for your project.

3. Enable the Cloud Text-to-Speech API.

4. Setup Authentication.

Install this library in a virtualenv using pip. virtualenv is a tool to create isolated Python environments. The basic problem it addresses is one of dependencies and versions, and indirectly permissions.

With virtualenv, it’s possible to install this library without needing system install permissions, and without clashing with the installed system dependencies.

Python >= 3.5

Python == 2.7. Python 2.7 support will be removed on January 1, 2020.

The last version of this library compatible with Python 2.7 is google-cloud-texttospeech==1.0.1.

pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-texttospeech

pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-texttospeech

• Read the Client Library Documentation for Cloud Text-to-Speech API API to see other available methods on the client.

• Read the Cloud Text-to-Speech API Product documentation to learn more about the product and see How-to Guides. APIs that we cover.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2025-08-07 UTC.

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