AIAny
AI Audio2022
GitHub

Buzz

Transcribes and translates audio and video entirely on your own machine with OpenAI's Whisper, so nothing is uploaded. Handles local files, YouTube links, and live mic input; exports TXT, SRT, and VTT, plus a watch folder for batch jobs.

Introduction

Most transcription tools quietly route your recordings through someone else's servers and bill per minute. This one inverts that: it wraps OpenAI's Whisper into a desktop app where transcription is a one-time model download, so sensitive audio never leaves the machine and there is no recurring cost after install.

What Sets It Apart
  • Multiple Whisper backends (whisper.cpp, faster-whisper) with CUDA, Apple Silicon, and Vulkan acceleration — you can trade speed for accuracy and use whatever GPU you have, not only Nvidia.
  • Beyond plain files: YouTube links, real-time microphone transcription with a presentation mode, and a watch folder that auto-processes newly added recordings — it covers live captioning and unattended batch runs, not just one-off uploads.
  • Speaker identification and speech separation make it usable on multi-speaker, noisy recordings rather than only clean single-voice audio.
  • TXT, SRT, and VTT export plus a CLI drop it straight into subtitle pipelines and scripted automation.
Who It's For

Great fit if you handle sensitive or high-volume audio and want zero cloud exposure or per-minute fees, or you need captioning that works without a network. Look elsewhere if you have no local GPU and want managed cloud-grade speed, or expect a polished mobile app — Buzz is desktop-only (macOS, Windows, Linux), and both accuracy and speed depend on the Whisper model size and hardware you run it on.

Information

  • Websitegithub.com
  • AuthorsChidi Williams
  • Published date2022/09/24

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