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Real-time audio transcription with AI summarization

Project description

AI Little Scribe

Real-time audio transcription tool that captures both system audio and microphone input, with AI-powered summarization using Amazon Bedrock.

⚠️ IMPORTANT: AudioTee Required

This tool requires AudioTee to be installed on your system to capture system audio. Without AudioTee, the tool will not work.

Install AudioTee First (Required)

git clone https://github.com/makeusabrew/audiotee.git
cd audiotee
make
sudo cp audiotee /usr/local/bin/

Features

  • Real-time transcription of system audio + microphone
  • Multi-language support
  • AI-powered summary generation
  • Speaker identification
  • Cross-platform support

Prerequisites

  • macOS 14.2+
  • AudioTee binary installed (see installation above)
  • AWS credentials configured
  • Python 3.7+

Installation & Usage

No installation needed! Use with uvx:

# System audio only (default)
uvx littlescribe

# Microphone only
uvx littlescribe --microphone

# Both system audio + microphone
uvx littlescribe --both

# With custom options
uvx littlescribe --language fr-FR --output meeting.txt --summary summary.txt

Setup AudioTee (macOS only)

git clone https://github.com/makeusabrew/audiotee.git
cd audiotee && make && sudo cp audiotee /usr/local/bin/

Parameters

  • --language, -l: Input language code (default: en-US)
  • --output, -o: Output file (default: transcription_output.txt)
  • --summary, -s: Summary output file (optional)
  • --microphone, -m: Record microphone instead of system audio
  • --both, -b: Record both microphone and system audio

Press Ctrl+C to stop recording and generate summary.

AWS Setup

Configure AWS credentials via AWS CLI or environment variables:

aws configure

Requires access to Amazon Transcribe and Amazon Bedrock services.

Important Notice

This tool uses AWS services (Amazon Transcribe for speech-to-text and Amazon Bedrock Nova Pro for AI summarization) which may incur charges to your AWS account. Please review AWS pricing for these services before use:

You are responsible for any AWS charges incurred while using this tool.

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