amazon-transcribe-live-meeting-assistant

AWS sample app for live meeting transcription and AI summaries.

💎 Hidden gem★ 166 stars⑂ 57 forksMITupdated 2026-10

▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.

// project facts

Project facts

amazon-transcribe-live-meeting-assistant is an open-source audio project by aws-samples (aws-samples/amazon-transcribe-live-meeting-assistant on GitHub). It has 166 GitHub stars and 57 forks, is released under the MIT license, and was last updated on GitHub on 1 October 2026.

Repository: aws-samples/amazon-transcribe-live-meeting-assistant
GitHub stars: 166
Forks: 57
License: MIT
Last updated on GitHub: 1 October 2026
Category: Audio
Listing: Hidden gem — a shorter page for a lesser-known project
Official site: Official docs

// how it works

How it works

Clone the repository
Download the sample and enter the folder.
Configure AWS
Set credentials and region for Transcribe and Bedrock.
Install dependencies
Pull the Python packages it needs.
Join a meeting
Launch the assistant and start transcribing.

// features

Why people love it

Live transcription

Real-time speech-to-text via Amazon Transcribe.

Bedrock summaries

AI summaries from Amazon Bedrock models.

Translation

Multilingual meeting support.

Assistant layer

Ask questions about the live meeting.

AWS reference code

Shows how the services fit together.

MIT licensed

Reuse the patterns freely.

// run it

Run it yourself

Step 1 — Clone the repo

Download the source and move into the project folder.

git clone https://github.com/aws-samples/amazon-transcribe-live-meeting-assistant.git
cd amazon-transcribe-live-meeting-assistant

Step 2 — Configure AWS
Set your credentials and region.
```
aws configure
```
Step 3 — Install and run
Pull deps and launch per the README.
```
pip install -r requirements.txt
```

// use cases

What you can build

Learn the AWS Transcribe plus Bedrock pattern.
Prototype a meeting assistant for your org.
Add live captions to internal calls.
Study real-time transcription architecture.

// faq

Questions, answered

Who maintains this sample?

It is an AWS Samples project at aws-samples with 57 forks.

Is it free for commercial use?

The code is MIT licensed; AWS service usage is billed normally.

Is this a finished product?

No. It is a reference implementation to learn from and adapt.

Which AWS services does it use?

Amazon Transcribe for speech-to-text and Bedrock plus other AI services.

Do I need an AWS account?

The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if amazon-transcribe-live-meeting-assistant is not the right fit.

MoneyPrinterTurbo★ 128.3k
利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
Whisper★ 109.9k
Robust Speech Recognition via Large-Scale Weak Supervision
GPT-SoVITS★ 62.3k
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Real-Time-Voice-Cloning★ 60.2k
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
whisper.cpp★ 54.1k
Port of OpenAI's Whisper model in C/C++

Get amazon-transcribe-live-meeting-assistant

Free and open — grab the source, star the repo, and start creating.

View on GitHub ↗← More Audio tools