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swictation

v0.7.35

Published

Cross-platform voice-to-text dictation for Linux and macOS with GPU acceleration (NVIDIA CUDA/CoreML), Secretary Mode (60+ natural language commands), Context-Aware Meta-Learning, and pure Rust performance. Meta-package that automatically installs platfor

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Links

Git

Maintainers

robertelee78robertelee78

Keywords

voice-to-textspeech-recognitiondictationsecretary-modenatural-languagetranscriptionsttrustparakeet-tdtsilero-vadwaylandx11macosapple-siliconcoremlonnxtext-transformation

Readme

Swictation

Voice-to-text dictation for Linux and macOS with GPU acceleration. Pure Rust daemon with VAD-triggered auto-transcription, sub-second latency, and complete privacy.

Supported platforms:

  • Linux x64 (Ubuntu 24.04+, GLIBC 2.39+)
  • macOS Apple Silicon (M1/M2/M3/M4/M5), macOS 14 Sonoma+

Install

npm install -g swictation --foreground-scripts

The --foreground-scripts flag shows installation progress. Postinstall automatically:

  1. Detects your GPU and downloads optimized acceleration libraries
  2. Downloads and test-loads AI models (~30-60s on first install)
  3. Sets up the background service (systemd on Linux, launchd on macOS)
  4. Shows platform-specific setup instructions

Platform Requirements

Linux x64

  • Ubuntu 24.04+ (GLIBC 2.39+), Node.js 18+
  • Optional: NVIDIA GPU with 4GB+ VRAM for CUDA acceleration (CPU fallback available)

macOS Apple Silicon (M1-M5)

  • macOS 14 Sonoma or later, Node.js 18+
  • 8GB+ RAM (16GB+ recommended for the 1.1B model)
  • Accessibility permissions granted during setup

Commands

swictation start      # Start the daemon
swictation stop       # Stop the daemon
swictation status     # Show service status
swictation toggle     # Toggle recording on/off
swictation --version  # Show version

Documentation

Full documentation, configuration reference, and troubleshooting guides: https://github.com/robertelee78/swictation

Links

  • Source: https://github.com/robertelee78/swictation
  • Issues: https://github.com/robertelee78/swictation/issues

License

Apache-2.0