hyprwhspr is a native speech-to-text designed for Arch / Omarchy. It aims to provide fast, accurate and easy system-wide dictation.
This is free and open source software.
Key Features
- Optimized for Arch Linux / Omarchy – Seamless integration with Omarchy / Hyprland & Waybar.
- Whisper-powered – State-of-the-art speech recognition via OpenAI’s Whisper.
- Cross-platform GPU support – Automatic detection and acceleration for NVIDIA (CUDA) / AMD (ROCm).
- Hot model loading – pywhispercpp backend keeps models in memory for fast transcription.
- Word overrides – Customize transcriptions, prompt and corrections.
- Run as user – Runs in user space, just sudo once for the installer.
Website: github.com/goodroot/hyprwhspr
Support:
Developer: goodroot
License: MIT License
hyprwhspr is written in Python. Learn Python with our recommended free books and free tutorials.
Related Software
| Speech Recognition Tools | |
|---|---|
| Whisper | Automatic speech recognition (system trained on 680,000 hours of data |
| Flashlight | Fast, flexible machine learning library written entirely in C++. |
| Coqui STT | Deep-learning toolkit for training and deploying speech-to-text models |
| Kaldi | C++ toolkit designed for speech recognition researchers. |
| SpeechBrain | All-in-one conversational AI toolkit based on PyTorch |
| Handy | Offline speech-to-text application |
| ESPnet | End-to-End speech processing toolkit |
| deepspeech.pytorch | Implementation of DeepSpeech2 using Baidu Warp-CTC. |
| Whispering | Transcription application with global speech-to-text functionality |
| Julius | Two-pass large vocabulary continuous speech recognition engine |
| CMUSphinx | Speech recognition system for mobile and server applications |
| Simon | Flexible speech recognition software |
| hyprwhspr | Native speech-to-text designed for Arch / Omarchy |
| ostt | Open Speech-to-Text |
| DeepSpeech | TensorFlow implementation of Baidu's DeepSpeech architecture. |
| OpenSeq2Seq | TensorFlow-based toolkit for sequence-to-sequence models |
| Eesen | End-to-End Speech Recognition |
Read our verdict in the software roundup.
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