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Create summaries of recordings using generative AI with Amazon Bedrock and Amazon Transcribe

This post outlines a solution for using Amazon Transcribe and Amazon Bedrock to automatically generate concise summaries of video or audio recordings. By leveraging a combination of speech-to-text capability and generative AI models, the solution aims to simplify and automate the note-taking process, enhancing collaboration and saving time. The post provides instructions for deploying, running, reviewing, and customizing the solution, and includes details on cleaning up the solution once it’s no longer needed. Additionally, the post encourages further exploration of AWS AI services like Amazon Textract, Amazon Translate, and Amazon Rekognition to achieve business objectives. The solution is demonstrated using a sample team meeting recording and includes key points from the generated summary for reference.

Create summaries of recordings using generative AI with Amazon Bedrock and Amazon Transcribe



Meeting Notes Automation with Amazon Transcribe and Amazon Bedrock

Meeting notes are essential for collaboration but can be challenging to manage. Learn how Amazon Transcribe and Amazon Bedrock can automate the process.

Solution Overview

By combining Amazon Transcribe and Amazon Bedrock, you can save time, capture insights, and enhance collaboration. Amazon Transcribe converts audio into text, while Amazon Bedrock offers high-performing foundation models for generative AI applications.

How It Works

1. A user uploads a recording to an Amazon S3 bucket.
2. The Step Functions state machine orchestrates the transcription and summarization process using Amazon Transcribe and Amazon Bedrock.
3. The generated summary is sent via Amazon Simple Notification Service (Amazon SNS).

Prerequisites

Request access to models in Amazon Bedrock and deploy the solution using an AWS CloudFormation template.

Run the Solution

1. Acknowledge the Amazon SNS email confirmation.
2. Upload the recording to the designated Amazon S3 bucket.
3. Monitor the progress of the state machine and receive the emailed summary of the recording.

Expand the Solution

Customize the solution for specific use cases, alter the summary instructions, and create different summaries for diverse audiences.

Clean Up

Delete the CloudFormation stack to remove the solution resources.

Conclusion

Amazon Transcribe and Amazon Bedrock offer a practical AI solution for automating meeting note summaries. Explore how AI can redefine your work and discover automation opportunities.

Authors

Rob Barnes, Principal Consultant, AWS Professional Services
Jason Stehle, Senior Solutions Architect, AWS

AI Solutions for Middle Managers

Create summaries of recordings using generative AI with Amazon Bedrock and Amazon Transcribe. Discover how AI can redefine your way of work. Identify automation opportunities, define KPIs, select an AI solution, implement gradually, and connect with us for AI KPI management advice.

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