Skip to main content

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.

Features

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

Prerequisites

  • macOS 14.2+ with AudioTee binary
  • 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

littlescribe-1.0.3.tar.gz (1.8 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

littlescribe-1.0.3-py3-none-any.whl (7.0 kB view details)

Uploaded Python 3

File details

Details for the file littlescribe-1.0.3.tar.gz.

File metadata

  • Download URL: littlescribe-1.0.3.tar.gz
  • Upload date:
  • Size: 1.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.4

File hashes

Hashes for littlescribe-1.0.3.tar.gz
Algorithm Hash digest
SHA256 62f30bd986fab1aa53592ce030949b9a0ccebf366441b95943c9b1ecbd1b6ed6
MD5 422f9b39b10398301aca4613a9f72a60
BLAKE2b-256 bb9db00d67b34eb721dfdae85f34b92a2bda95e778f20c2c0134a43a843bd088

See more details on using hashes here.

File details

Details for the file littlescribe-1.0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for littlescribe-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 bfcbf3fb78025767c89bb32fccabcc7a61dda9e19b85aa967d16dfc7ef2518a0
MD5 a76cfdbe6b86de678c924a7f2508c872
BLAKE2b-256 31c1be0d9698765dcece7a51f14d94507f0daf103a3b1d4d69691e51a4ace32a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page