Amazon Translate

Hi, this is Charu from Classmethod. In this hands-on blog, we will explore the key features and functionalities of Amazon Translate.

What is Amazon Translate?

Amazon Translate is a cloud-based neural machine translation service provided by Amazon Web Services (AWS). Translate provides accurate text translations and end-to-end encryption, ensuring that all information is kept private. Built for scale, it efficiently translates large volumes of text and maintains high performance under demand. It also pairs well with AWS products, offering robust encryption and data privacy. Amazon Translate supports a wide range of language pairs and provides a cost-effective solution for businesses to localise their content and communicate with international audiences.

Let's get started!

1. Translating Text Using the Amazon Translate Console:

  • Search Amazon Translate on the AWS console.
  • Click on "Launch real-time translate.
  • Enter or paste the text you want to translate into the source text field.
  • Choose the source language from the drop-down menu.
  • Select the target language(s) you want to translate the text into.
  • Click on "Translate" to generate the translation.
  • 2. Python Code Example for Setting Up Amazon Translate:

    import boto3
    # Create an Amazon Translate client
    translate = boto3.client('translate', region_name='ap-northeast-1')
    # Function to translate text using the console
    def translate_text_console(source_text, source_language_code, target_language_code):
        response = translate.translate_text(Text=source_text, SourceLanguageCode=source_language_code, TargetLanguageCode=target_language_code)
        return response['TranslatedText']
    # Example usage
    source_text = "Hello, how are you?"
    source_language_code = "en"
    target_language_code = "ja"
    translated_text = translate_text_console(source_text, source_language_code, target_language_code)
    print(f"Translated Text: {translated_text}")

    Let's understand the code above-

  • The code starts by importing the boto3 library, which is the AWS SDK for Python. It allows us to interact with various AWS services, including Amazon Translate.
  • The next line creates an Amazon Translate client using the boto3.client method. You need to specify the service name(in this case 'translate') and the region name(in this case 'ap-northeast-1).
  • The translate_text_console function is defined to translate text using the console. It takes three parameters: source_text, source_language_code, and target_language_code. The source_text parameter represents the text to be translated, while the source_language_code and target_language_code parameters specify the source and target languages, respectively.
  • The translated text is extracted from the response using the key 'TranslatedText', and it is returned as the output of the translate_text_console function.
  • In the example usage section, a sample text, source language code ('en' for English), and target language code ('ja' for Japanese) are defined. These values are passed to the translate_text_console function to obtain the translated text.
  • Finally, the translated text is printed to the console using the print statement.
  • Integrating Amazon Translate into Your Applications:

    Amazon Translate provides SDKs and code samples for various programming languages, making it easy to integrate translation capabilities into your applications. Whether you're developing a website, mobile app, or backend service, you can leverage the Amazon Translate API to provide seamless translation experiences to your users.


    In this blog, we explored Amazon Translate and its capabilities for breaking down language barriers. We learned how to set up Amazon Translate, translate text using both the console and API and integrate translation into applications. By leveraging Amazon Translate, businesses can now communicate and engage with a global audience more effectively than ever before.

    Thank you for reading!

    Happy Learning:)