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hyprwhspr

MITPythonv1.29.0

A fast, accurate, and private native speech-to-text tool for Linux, offering system-wide dictation with local or cloud backends.

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1.0k stars72 forks0 contributors

What is hyprwhspr?

hyprwhspr is a native speech-to-text tool for Linux that provides fast, accurate, and private system-wide dictation. It solves the problem of needing a reliable, locally-run dictation solution by supporting both local AI models and cloud APIs, enabling users to transcribe speech into text instantly across any application.

Target Audience

Linux users, particularly those on Wayland-based desktops like GNOME, KDE Plasma, Sway, or Hyprland, who need efficient and private dictation for productivity, accessibility, or hands-free input.

Value Proposition

Developers choose hyprwhspr for its combination of local performance, privacy, and deep system integration, offering a seamless dictation experience without relying on external services, along with support for the latest AI models and customizable features.

Overview

Native speech-to-text for Linux - Fast, accurate and private system-wide dictation

Use Cases

Best For

  • Linux users needing private, offline speech-to-text dictation
  • Wayland desktop users seeking system-wide voice input integration
  • Accessibility support for hands-free text input on Linux
  • Transcribing long-form content with pause and resume capabilities
  • Multi-lingual dictation with translation to English
  • Integrating voice commands into custom Linux workflows

Not Ideal For

  • Linux users running X11 display servers instead of Wayland
  • Developers needing a cross-platform speech-to-text solution for Windows or macOS
  • Users wanting a completely hands-off, zero-configuration dictation app

Pros & Cons

Pros

Local Privacy & Speed

Uses in-memory models for instant transcription without external servers, ensuring data never leaves your machine, as highlighted by the 'local, very fast defaults' in the README.

Flexible Backend Options

Supports Cohere Transcribe, Parakeet TDT V3, Whisper, REST APIs, and WebSockets, allowing users to choose between local and cloud-based transcription for varied needs.

Hardware Optimization

Efficient GPU memory usage and CPU-optimized via onnx-asr provide great speed even on systems without dedicated graphics, per the README's emphasis on performance.

Deep System Integration

Auto-pastes transcribed text into any active buffer and integrates with Waybar and custom hotkeys, enabling seamless desktop workflow without manual copying.

Cons

Wayland-Only Requirement

Only works on Wayland sessions, excluding many Linux users on X11-based desktops, which limits its usability across common setups like traditional GNOME or KDE.

Complex Initial Setup

Requires interactive setup, systemd service configuration, and permission management, which can be intimidating for less technical users despite the guided process.

Limited Cross-Distro Maturity

Non-Arch Linux support is explicitly noted as new and may have unresolved issues, requiring user reporting and patience for stability.

Frequently Asked Questions

Quick Stats

Stars1,000
Forks72
Contributors0
Open Issues0
Last commit14 hours ago
CreatedSince 2025

Tags

#ai#wayland#archlinux#linux-desktop#accessibility#speech-to-text#whisper#system-integration#privacy-focused#transcription#local-ai

Built With

V
Vulkan
C
CUDA
W
Wayland
G
GTK4
s
systemd

Links & Resources

Website

Included in

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Auto-fetched 8 hours ago
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