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buzz

> 编程语言
开源

Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.

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访问官网GitHub

工具介绍

Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.

[简体中文] <- 点击查看中文页面。

Buzz

Documentation

Transcribe and translate audio offline on your personal computer. Powered by OpenAI's Whisper.

Features

  • Transcribe audio and video files or Youtube links
  • Live realtime audio transcription from microphone
    • Presentation window for easy accessibility during events and presentations
  • Speech separation before transcription for better accuracy on noisy audio
  • Speaker identification in transcribed media
  • Multiple whisper backend support
    • CUDA acceleration support for Nvidia GPUs
    • Apple Silicon support for Macs
    • Vulkan acceleration support for Whisper.cpp on most GPUs, including integrated GPUs
  • Multiple Transformer model family support via Huggingface whisper type
  • Export transcripts to TXT, SRT, and VTT
  • Advanced Transcription Viewer with search, playback controls, and speed adjustment
  • Keyboard shortcuts for efficient navigation
  • Watch folder for automatic transcription of new files
  • Command-Line Interface for scripting and automation
  • Plugin system with plugins like AI summary generation and automated transcript resizing

Installation

macOS

Download the .dmg from the SourceForge.

Intel Macs: Buzz now requires Apple silicon. The last version to support Intel Macs is 1.4.5.

Windows

Get the installation files from the SourceForge.

App is not signed, you will get a warning when you install it. Select More info -> Run anyway.

Linux

Buzz is available as a Flatpak, Snap or Appimage.

To install flatpak, run:

flatpak install flathub io.github.chidiwilliams.Buzz

To install snap, run:

sudo apt-get install libportaudio2 libcanberra-gtk-module libcanberra-gtk3-module
sudo snap install buzz

PyPI

Install ffmpeg

Ensure you use Python 3.12 environment.

Install Buzz

pip install buzz-captions
python -m buzz

GPU support for PyPI

To have GPU support for Nvidia GPUS on Windows, for PyPI installed version ensure, CUDA support for torch

pip3 install -U torch==2.8.0+cu129 torchaudio==2.8.0+cu129 --index-url https://download.pytorch.org/whl/cu129
pip3 install nvidia-cublas-cu12==12.9.1.4 nvidia-cuda-cupti-cu12==12.9.79 nvidia-cuda-runtime-cu12==12.9.79 --extra-index-url https://pypi.nvidia.com

Latest development version

For info on how to get latest development version with latest features and bug fixes see FAQ.

Support Buzz

You can help the Buzz by starring 🌟 the repo and sharing it with your friends.

Screenshots

核心特点

  • •Transcribe audio and video files or Youtube links
  • •Live realtime audio transcription from microphone
  • •Presentation window for easy accessibility during events and presentations
  • •Speech separation before transcription for better accuracy on noisy audio
  • •Speaker identification in transcribed media
  • •Multiple whisper backend support
  • •CUDA acceleration support for Nvidia GPUs
  • •Apple Silicon support for Macs
  • •Vulkan acceleration support for Whisper.cpp on most GPUs, including integrated GPUs
  • •Multiple Transformer model family support via Huggingface whisper type

> 标签

Pythonwhisper

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> 工具信息

发布日期2026年8月1日
最后更新2026年9月9日
分类编程语言
定价开源

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