音声
Faster Whisper
Faster Whisper transcription with CTranslate2
★ 25.7k スターMIT
ガイドを見る →Scribeは、AIgratorが公開しているオープンソースの音声プロジェクトです（GitHub: AIgrator/Scribe）。GitHubスターは39、フォークは3で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年10月4日です。
A free offline desktop assistant for speech-to-text.
Get it per the docs site.
Pick a language model for offline use.
Convert speech to text anywhere.
Control the PC with voice commands.
Vosk models, no internet.
Control your computer by voice.
Native-feeling desktop app.
Speech never leaves the PC.
MIT licensed.
Setup guides online.
Download the source and enter the folder.
git clone https://github.com/AIgrator/Scribe.git
cd ScribeSet up the Python environment.
pip install -r requirements.txtStart the desktop assistant.
python main.pyA free, open-source offline desktop speech-to-text assistant, at AIgrator/Scribe.
It uses downloadable Vosk speech models.
Yes. Voice commands are a core feature.
Yes. MIT licensed.
A PyQt5 desktop application.
Faster Whisper transcription with CTranslate2
Blazing-fast multi-backend Whisper transcription for any file or URL.
Free offline Whisper dictation for Windows, macOS, and Linux.
Offline text-to-speech for Python — uses your operating system's own voices, no internet needed
Free, open source, 100% offline AI text-to-speech for macOS, Windows & Linux.
MeloTTS — multilingual text-to-speech for English, Spanish, French, Chinese, Japanese and Korean.
LibreAIカタログに掲載された音声プロジェクトの中で最もスターの多いもの — Scribeが合わなかった場合に検討したい、現実的な候補リストです。
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++
カタログの中でScribeとスター数が近い音声プロジェクト — 前後の棚もそのまま見て回れます。
Entirely local, open source voice-to-text utility.
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.
Open-source dictation with offline recognition, everywhere.
Robust Speech Recognition via Large-Scale Weak Supervision
On-device speech-to-text for macOS.
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)