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100% offline, Whisper-powered voice notes from your terminal

Project description

hark 😇

PyPI version Python 3.11+ License: AGPL v3 Code style: ruff

100% offline, Whisper-powered voice notes from your terminal

Use cases: Voice prompts for LLMs (hark | llm), meeting minutes, quick voice journaling

Features

  • 🎙️ Record - Press space to start, Ctrl+C to stop
  • Transcribe - Powered by faster-whisper
  • 🔒 Local - 100% offline, no cloud required
  • 📄 Flexible - Output as plain text, markdown, or SRT subtitles

Installation

pipx install hark

System Dependencies

Ubuntu/Debian:

sudo apt install portaudio19-dev

macOS:

brew install portaudio

Optional: Vulkan Acceleration

For GPU-accelerated transcription via Vulkan (AMD/Intel GPUs):

Ubuntu/Debian:

sudo apt install libvulkan1 vulkan-tools mesa-vulkan-drivers

Then set the device in your config or use --device vulkan.

Quick Start

# Record and print to stdout
hark

# Save to file
hark notes.txt

# Use larger model for better accuracy
hark --model large-v3 meeting.md

# Transcribe in German
hark --lang de notes.txt

# Output as SRT subtitles
hark --format srt captions.srt

Configuration

Hark uses a YAML config file at ~/.config/hark/config.yaml. CLI flags override config file settings.

# ~/.config/hark/config.yaml
whisper:
  model: base # tiny, base, small, medium, large, large-v2, large-v3
  language: auto # auto, en, de, fr, es, ...
  device: auto # auto, cpu, cuda, vulkan

preprocessing:
  noise_reduction:
    enabled: true
    strength: 0.5 # 0.0-1.0
  normalization:
    enabled: true
  silence_trimming:
    enabled: true

output:
  format: plain # plain, markdown, srt
  timestamps: false

Development

git clone https://github.com/FPurchess/hark.git
cd hark
uv sync --extra test
uv run pre-commit install
uv run pytest

License

AGPLv3

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