How to use Buzz — setup, models & fixing common errors

Don’t want to install Buzz? Drop the file here.

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Install Buzz on Mac, Windows or Linux, pick the right Whisper model, and fix the common failures: stuck on loading model, blank transcript, GPU not used, crashes on long files.

Setup that works

1

Install

Mac: brew install --cask buzz or the DMG from GitHub releases. Windows: the .exe installer from GitHub (Microsoft Store build lags). Linux: pip install buzz-captions or the Snap/Flatpak.

2

Pick a model

Whisper small is the sweet spot for most laptops — tiny/base are fast but miss words; large-v3 is accurate but needs ~10 GB RAM and is slow on CPU.

3

Transcribe

File → Import, choose the audio, set the language (or auto), enable word-level timestamps if you need SRT/VTT export.

Fixing the common errors

Buzz is stuck on “loading model”

First run downloads the model (75 MB–3 GB) with no progress bar on some builds — give it time on a slow connection. If it never finishes, delete the model cache (Mac: ~/Library/Caches/Buzz, Windows: %LOCALAPPDATA%\Buzz) and retry.

The transcript comes out blank or garbage

Usually the wrong audio device or a silent/DRM-protected file. Play the file in a normal player first; if it plays, switch the Whisper model from tiny to small — tiny collapses on noisy audio.

Buzz doesn't use my GPU

The default build is CPU-only on Windows/Linux. GPU needs the CUDA build of whisper.cpp under the hood — on Apple Silicon, Metal is used automatically on recent versions; update if you're below 1.0.

It crashes on files over an hour

Known pattern on 8 GB machines with medium/large models — memory. Use small, or split the file, or run the file through a hosted engine instead.

Live/microphone transcription lags far behind

Real-time needs tiny or base; anything larger falls behind on CPU. For meeting-length live captioning a streaming service holds up better.

Where do exports land?

File → Export after selecting the transcription. TXT, SRT and VTT are supported; word-level SRT needs word timestamps enabled BEFORE transcribing.

More on Buzz: the full Buzz page · Buzz alternatives · all transcription tools

Long recording to get through?

One file up to 10 hours, as an upload or a link: see how to transcribe an MP3 of any length, how to transcribe a podcast and the SRT generator.

Comparing tools before you pay?

If you would rather pay a service than run software yourself: see an honest roundup of the best transcription services, affordable transcription priced per hour and transcription services from $6.