AI tool

Buzz

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Run local speech transcription with a desktop interface and timestamped exports.

Starting price
Free MIT application
Free access
Free offline transcription
Billing unit
Local model execution
Platform
Windows, Linux; Apple Silicon Mac
Verified
20 Oct 2026

Overview

What you provide

  • Import audio or video, or select a microphone for live speech capture.

What you get

  • Buzz transcribes and translates speech locally and exports TXT, SRT or VTT files.

Choosing this tool

Buzz fits users who want Whisper-based transcription through a desktop interface rather than an API integration. Subtitle Edit is better for detailed subtitle repair after transcription; Sonix is worth considering when collaborators need a shared browser workspace instead of local files.

A decision worked through

Ten half-hour interviews equal five hours of source media. With a local Buzz model, that batch adds no hourly service fee, but processing time depends on the selected model and machine; do not substitute a cloud vendor’s speed claim for a local runtime estimate.

Buzz alternatives for this task

For Buzz, compare Subtitle Edit, Sonix. Match the input, delivery format and operating responsibilities before comparing price.

ProductPrice / unitFree allowanceInput → outputKey limit
BuzzRead profileOfficial source ↗MIT local app: freeNo per-minute local feeSpeech becomes TXT, SRT or VTT.New Mac builds require Apple Silicon.
Subtitle EditRead profileOfficial source ↗MIT editor: no software feeLocal editing is freeMedia/subtitles become corrected captions.Online services have separate terms.
SonixRead profileOfficial source ↗USD 10/hr or Core USD 25/mo30 minutes onceAudio/video become timed text.Seats do not add media hours.

Setup & workflow

  1. Install a supported release and download the chosen speech model.
  2. Run a short transcription to check language and speaker settings.
  3. Correct the text and export a transcript or timed subtitle file.
Requirements & installation
  • Use a packaged release; the Python route is pip install buzz-captions followed by python -m buzz, with Python 3.12 and ffmpeg.

Limits & review

  • Current Mac builds require Apple Silicon; the README identifies 1.4.5 as the last Intel-compatible version. PyPI installation needs Python 3.12 and ffmpeg. Backend and model choices affect device support and speed.

Your part

  • Check names and timestamps by replaying the original recording in the transcript viewer.
Sources & verification4

This profile is based on official sources, not a hands-on product test.

Vendor descriptions and demos document advertised features. Editorial guidance is based on these sources.