Translating Captions files (VTT, SRT) using Amazon Translate

About

This project contains source code and supporting files for a serverless pipeline for translating Caption files in VTT and SRT formats using Amazon Translate that you can deploy with the SAM CLI. It includes the following files and folders.

• translate_captions - Code for the application's Lambda functions.
• translate-captions-template.yaml - A template that defines the application's AWS resources.

The application uses several AWS resources, including AWS Lambda functions, Amazon EventBridge. These resources are defined in the translate-captions-template.yaml file in this project.

Important: this application uses Amazon Translate and there are costs associated with this service after the Free Tier usage - please see the Amazon Translate pricing page for details.

Reference

Translating Captions files with Amazon Translate

Solution Architecture

Building and Deploying the application

• AWS CLI - Installed and Configured with a valid profile Install the AWS CLI
• SAM CLI - Install the SAM CLI
• Python 3 installed
• The Bash shell. For Linux and macOS, this is included by default. In Windows 10, you can install the Windows Subsystem for Linux to get a Windows-integrated version of Ubuntu and Bash.

Setup

Download or clone this repository.

$ git clone git@github.com:aws-samples/amazon-translate-video-subtitles-captions-translation.git
$ cd amazon-translate-video-subtitles-captions-translation

To create a new bucket for deployment artifacts, run create-bucket.sh.

$ ./create-bucket.sh
make_bucket: lambda-artifacts-a1b2c3d4e5e6

Deploy

To deploy the application, run deploy.sh.

$ ./deploy.sh
BUILD SUCCESSFUL in 1s
Successfully packaged artifacts and wrote output template to file out.yml.
Waiting for changeset to be created..
Successfully created/updated stack - translate-captions-stack

This script uses AWS CloudFormation to deploy the Lambda functions and an IAM role. If the AWS CloudFormation stack that contains the resources already exists, the script updates it with any changes to the template or function code.

How it works

• Deploy the stack with required parameters (SourceLanguageCode, TargetLanguageCode and TriggerFileName)
• Upload caption files (.VTT, .SRT) in the input folder of the created Amazon S3 bucket.
• Upload the 0-byte file with name matching the TriggerFileName parameter in the input folder
• The solution will trigger and after few minutes , you will see the translated JSON files in output folder in the same bucket

Cleanup

To delete the sample application that you created, use the AWS CLI. Assuming you used your project name for the stack name, you can run the following:

aws cloudformation delete-stack --stack-name translate-captions-stack

License

This solution is licensed under the MIT-0 License. See the LICENSE file.