Simple Audio & Video Transcription Pipeline on AWS

We're excited to release our first MakeOps Cloud Component. This is a pre-built stack that deploys an audio or video transcription pipeline on AWS using AWS Cloud Development Kit (CDK). We employ cloud-native services such as AWS Lambda, Step Functions to provide an easy tool to integrate into any product or service.

This is released on GitHub for anyone to make use of.

What are Cloud Components?

Cloud Components are pre-build stacks that perform common tasks on AWS. Things that we've seen customers try to build themselves. We use AWS CDK (written in Typescript) to create reusable infrastructure as code samples that can be integrated into your product or service.

Read more about why we're building these components.

Streamlining Transcription for AI-Driven Applications

As businesses increasingly turn to AI to enhance their products and services, audio and video transcription has become a crucial first step. Whether you're analyzing podcast content, assessing sentiment in contact center calls, or processing medical patient discussions, accurate transcription is essential. Our new component simplifies this process, allowing you to focus on deriving insights rather than managing infrastructure.

Key Features

• Serverless Architecture: Built on AWS Lambda, S3, and Step Functions for scalability and cost-efficiency.
• Flexible Authentication: Optional integration with Amazon Cognito for secure user management.
• Progress Tracking: Real-time job status updates stored in Amazon DynamoDB.
• Customizable Workflow: Easy to extend with pre- and post-processing capabilities.
• Language Support: Configurable to work with multiple languages via Amazon Transcribe.

Easy Deployment and Configuration

Deploying the component using AWS CDK. We've provided a simple configuration file, that allows you to tailor the solution to your specific needs, including setting up CORS, choosing authentication methods, and defining API endpoints.

Use Cases

The component is versatile enough to support various scenarios:

• Frontend Applications: Ideal for web apps requiring user-specific transcriptions.
• Backend Services: Perfect for batch processing or automated workflows.

Where to Start?

To start using the Audio & Video Transcription component, visit the GitHub repository for detailed installation instructions and configuration options.