Transcribing audio offline without sending your data to the cloud is harder than it should be. Most tools are slow, expensive, or require uploading private audio to third-party services.
In this video, I test Buzz, a free, open-source desktop app powered by OpenAI’s Whisper model, that lets you transcribe and translate audio 100% locally on your own machine. No cloud, no API keys, no subscriptions.
🔗 Relevant Links
Buzz Repo - https://github.com/chidiwilliams/buzz...
Buzz Docs - https://chidiwilliams.github.io/buzz/...
Buzz Captions - https://buzzcaptions.com/
Buzz UI Download - https://sourceforge.net/projects/buzz...
❤️ More about us
Radically better observability stack: https://betterstack.com/
Written tutorials: https://betterstack.com/community/
Example projects: https://github.com/BetterStackHQ
📱 Socials
Twitter: / betterstackhq
Instagram: / betterstackhq
TikTok: / betterstack
LinkedIn: / betterstack
📌 Chapters:
0:00 – Offline Transcription Problems (Privacy, Cost, Speed)
0:29 – What Is Buzz? Offline Whisper Speech-to-Text Explained
1:14 – Buzz Demo: Offline Audio to Text in Action
1:38– Generating TXT, SRT, VTT & Word-Level Timestamps
2:06 – Translating Audio Locally (French to English Example)
2:30 – Buzz Desktop UI vs Terminal Workflow
2:52– Why Developers Care About Local Transcription (Pros & Cons)
3:37 – Performance, Model Size, and Hardware Requirements
4:05– Final Verdict: Is Buzz Worth Using for Developers?
