In today’s digital world, text-to-speech technology has gained significant popularity due to its ability to convert text into spoken words. This technology has various applications, from assisting visually impaired individuals to enhancing user experiences in digital platforms. In this blog post, we will explore how to create a text-to-speech converter using Amazon Web Services (AWS).

Step-by-Step Guide

Step 1: Setup an AWS Account

The first step is to create an AWS account if you don’t already have one. Simply visit the AWS website and follow the instructions to sign up. Once you have your account, you will have access to a wide range of AWS services, including the ones needed for our text-to-speech converter.

Step 2: Create an S3 Bucket

An S3 bucket is used to store the text and audio files that will be processed by our converter. To create an S3 bucket, navigate to the AWS Management Console and select the S3 service. Follow the prompts to create a new bucket, and make sure to note down the bucket name and region as we will need them later.

Step 3: Configure Amazon Polly

Amazon Polly is a cloud service provided by AWS that converts text into lifelike speech. To configure Amazon Polly, go to the AWS Management Console and select the Polly service. Follow the instructions to enable the service and configure your preferred settings.

Step 4: Create Lambda Functions

Lambda functions are used to connect different AWS services and perform specific tasks. In our case, we will create two Lambda functions – one to trigger the text-to-speech conversion and another to save the audio output to the S3 bucket. To create the Lambda functions, go to the AWS Management Console and select the Lambda service. Follow the instructions to create the functions, ensuring that you configure the appropriate triggers and permissions.

Step 5: Integrate the Components

Now that we have our S3 bucket, Amazon Polly, and Lambda functions set up, it’s time to integrate them. This can be done by configuring the appropriate triggers and permissions in the Lambda functions. For example, you can set the S3 bucket as the trigger for the text-to-speech conversion function, which will then call the Amazon Polly service to convert the text into audio.

Step 6: Test and Deploy

Once everything is set up and integrated, it’s important to test the text-to-speech converter to ensure it’s working correctly. You can do this by uploading a text file to the S3 bucket and monitoring the conversion process. If everything is functioning as expected, you can deploy the converter to your desired platform or application.


Creating a text-to-speech converter on AWS is a powerful way to provide an enhanced user experience and accessibility in digital platforms. By following the steps outlined in this blog post, you can easily set up the necessary components and integrate them to create your own converter. Whether you’re developing a mobile app, a website, or any other digital platform, text-to-speech technology can greatly benefit your users.