Аудио
buzz
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
★ 21,8 тыс. звёздMIT
Смотреть руководство →hyprwhspr — проект с открытым исходным кодом из категории «Аудио» от goodroot (goodroot/hyprwhspr на GitHub). У него 1 225 звёзд на GitHub и 105 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 3 октября 2026.
Native Linux dictation: fast, private, and hackable speech-to-text.
Use your distro's package manager or the project's installer.
Set a shortcut that starts dictation anywhere.
Talk and watch text appear in the focused app.
Hack on the config or scripts to fit your workflow.
Built for the Linux desktop, not ported from elsewhere.
Types into any application from a single hotkey.
Your voice data stays on your machine.
Optimized for low latency with strong recognition.
Open design invites scripting and customization.
Packaging and docs cover major Linux distributions.
Download the source and move into the project folder.
git clone https://github.com/goodroot/hyprwhspr.git
cd hyprwhsprEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at goodroot/hyprwhspr with 105 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — commercial use allowed with attribution.
Arch, Fedora, Debian, CachyOS and friends are mentioned — check the README for the full list.
No — it is designed for private, local speech-to-text.
Yes — it is built to be hackable, so keybindings and behavior are configurable.
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
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Converts text to speech in realtime
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Private cross-platform speech-to-text with LLM cleanup built in.
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Другие проекты из категории «Аудио» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если hyprwhspr вам не подходит.
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Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Port of OpenAI's Whisper model in C/C++
Соседние проекты из категории «Аудио» в каталоге, ближайшие по числу звёзд к hyprwhspr — продолжайте изучать полку по обе стороны от него.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.