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AWS Polly Text-To-Speech Service: Configuration, Benefits, Features

Last Updated : 24 Mar, 2025
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AWS Polly is a powerful text-to-speech (TTS) service that uses advanced deep learning technologies to transform written text into lifelike, human-sounding speech. With AWS Polly, developers can integrate high-quality voice capabilities into applications, providing accessibility features and enriching user experiences. Whether you're building mobile apps, voice assistants, or audiobooks, Amazon Polly offers a flexible and scalable solution.

In this article, we'll guide you through the process of configuring AWS Polly to integrate text-to-speech functionality into your applications.

What is AWS Polly?

AWS Polly is a cloud-based text-to-speech service that converts written text into realistic speech. By offering a variety of voices in multiple languages and accents, Polly allows developers to customize their applications with lifelike speech synthesis. The service is powered by deep learning models that generate high-quality speech, and it supports various features like lexicons, SSML (Speech Synthesis Markup Language), and Neural TTS (Neural Text-to-Speech) for more natural-sounding voices.

AWS Polly is part of the Amazon Web Services (AWS) suite and integrates easily with other AWS services, making it an excellent tool for creating scalable, accessible, and engaging user experiences.

AWS Polly Text-To-Speech Service Components

  • Text-To-Speech: Process of converting text input to realistic speech by using advanced deep learning technologies.
  • Voice: Polly offers many kinds of voices. The voices have different accents, languages, and ways of talking. Each voice has a name like Joanna or Matthew. They are categorized based on gender, language, and region.
  • Speech Synthesis Markup Language (SSML): SSML allows users to control how Polly talks, like pronunciation, tone of voice, and speaking speed. It lets you make small changes to how Polly turns text into speech.
  • Lexicons: Custom pronunciation dictionaries that allow users to specify the pronunciation of specific words or phrases especially if the words are not correctly pronounced by default.

How to Configure AWS Polly Service

Follow the below steps to know how to configure AWS Polly Services:

Step 1: Access the AWS Management Console

AWS Sign In console

Step 2: Navigate To Amazon Polly

  • From the services menu, select "Polly" Service by clicking on "Try Polly" as shown in the below screenshot.

Amazon Polly Service

Step 3: Configure Polly Settings

  • Choose Region: Select the AWS region where you want to configure Polly.
  • Enable Features: Enable features like Neural text-to-speech (NTTS) or time-stamped output for speech marks, based on your requirements.
  • Set Default Voice, Choose the default voice for speech synthesis.

Configuring the polly settings

Step 4: Generate Speech Using AWS Polly

  • Enter the text you want to synthesize into the provided text box.
  • Use SSML tags for fine-tune the output of Polly's speech synthesis.
  • Select the desired voice and adjust any other parameters as needed.

Generating Speech with selecting desired parameters

Step 5: Integrate AWS Polly Into Your Application

  • Use AWS SDK or API to integrate Polly into your application code.
  • First you need to install AWS SDK. AWS SDK supports various programming languages including Java , Python, Java Script, (Node.js),Ruby etc.
  • Initialize an instance of Polly client in your application code using the AWS SDK. Use Polly client to synthesize speech from text. Polly supports several languages and voices.

Here is the basic example in Python using AWS SDK

Python
import boto3

# Initialize Polly client
polly_client = boto3.client('polly', region_name='us-east-1')  # Corrected AWS region

# Synthesize speech
response = polly_client.synthesize_speech(
    Text='Hello, this is a sample text.',
    OutputFormat='mp3',
    VoiceId='Joanna'  # Specify voice to use
)

# Save synthesized audio to a file
with open('output.mp3', 'wb') as file:
    file.write(response['AudioStream'].read())

Common Use Cases for AWS Polly

  • Voice Assistants: Integrate AWS Polly into virtual assistants to create natural-sounding speech.
  • Audiobooks: Convert written text into high-quality audio for audiobooks or podcasts.
  • Accessibility: Provide text-to-speech functionality for visually impaired users by reading content aloud.
  • Customer Support: Use AWS Polly to generate automated responses for phone-based customer service applications.
  • Interactive Voice Responses: Create voice-driven interfaces for web and mobile applications.

Conclusion

Setting up Amazon Polly to enable text, to speech synthesis is a procedure that gives developers the ability to enhance their applications with speech. By following the instructions provided in this article and utilizing the frequently asked questions (FAQs) provided, you can seamlessly integrate Polly into your projects. Provide users with engaging experiences.


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