Audio
buzz
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
★ 21,8k estrellasMIT
Ver la guía →hyprwhspr es un proyecto de audio de código abierto de goodroot (goodroot/hyprwhspr en GitHub). Tiene 1.225 estrellas en GitHub y 105 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 3 de octubre de 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.
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
Converts text to speech in realtime
ToucanTTS: fast, controllable text-to-speech for over 7,000 languages, from Stuttgart's IMS.
Private cross-platform speech-to-text with LLM cleanup built in.
Free, open source, 100% offline AI text-to-speech for macOS, Windows & Linux.
Los demás proyectos de Audio con más estrellas del catálogo de LibreAI: la lista realista de alternativas si hyprwhspr no es lo que buscas.
利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
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++
Proyectos de Audio cercanos en el catálogo, los más próximos en estrellas a hyprwhspr: sigue explorando a ambos lados.
The easiest way to serve AI models, including speech-to-text, on Kubernetes.
Private cross-platform speech-to-text with LLM cleanup built in.
A book by the HardHacker Labs team chronicling how their product Podwise grew
Convert any file to clean Markdown for AI agents — a fast Rust MCP server.
Expressive TTS where emojis steer the speaking style.
A speech-to-text server framework built on next-generation Kaldi.
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.