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A practical creator tool · Buzz

Turn your video into text and subtitles

Start with a transcript instead of typing every spoken word. Then correct names, terminology and wording yourself. Buzz is a new addition to this site’s tool library.

Source reviewed October 20, 2026 · 6186d09

Buzz transcript viewer screenshot from the original repository

Tap the image to view full size ↗

Screenshot from the Buzz repository · MIT; interface may vary by version · GitHub

Where it helps

  • Create an SRT or VTT file for an editor that supports subtitle imports.
  • Extract an interview or voice-over transcript and review it before writing a summary or post.
  • Search and review the text alongside playback rather than navigating a long recording without a reference.

From a clip to a subtitle file

  1. Start with a short clip you have permission to use, with reasonably clear speech.

  2. In Buzz choose File → Import Media File, or the + icon, and select your audio or video.

  3. Choose Transcribe, the spoken language and a model suitable for your computer, then Run. Select SRT/VTT for subtitles or TXT for plain text in the export settings.

  4. When complete, open the transcript and check names, numbers, dialect wording and timing. Import the subtitle file into your editor and adjust line breaks if needed.

Install for your computer

For beginners: choose the desktop app for your computer and follow the notes under your OS. This uses a graphical interface; Python is a separate advanced option at the end of this guide.

Download Buzz · choose your computer

For computers, not Android or iPhone. Links open the official source in a new tab; Windows and Mac require selecting a file from the list. Avoid download advertisements.

Windows · official download page ↗

In the file list choose Windows-X64. If it is a ZIP, extract it first and open the app from its folder.

macOS · official download page ↗

Choose ARM64 for Apple Silicon or X64 for Intel. The last Intel-compatible release is 1.4.5. Extract ZIP if supplied; open the DMG and drag the app to Applications.

Linux · official download page ↗

Open Buzz on Flathub and follow Install. Set up Flatpak on your computer first as required by your distribution.

To identify your Mac: Apple menu → About This Mac; Chip means Apple Silicon, Processor Intel means Intel. Downloads can be large; use your computer and a suitable connection.

Official installation instructions ↗

Limits to understand

  • Accuracy is not guaranteed. Noise, dialect, recording quality and model choice affect results; selecting Arabic does not guarantee correct transcription of every dialect.
  • Local use requires an initial model download and may be slow on weaker hardware. An external API changes where data goes and may cost money; check your configuration.
  • A transcript is not a finished captioned video. SRT/VTT files need review and import into a compatible editor. We do not promise automatic translation into every language.

What did we verify?

This guide follows the upstream documentation and the linked source revision. We have not benchmarked transcription accuracy; start with a short clip and review the result to see how it handles your recordings.

Original sources

Buzz

Download and setup, made simple

Download Buzz · choose your computer

For computers, not Android or iPhone. Links open the official source in a new tab; Windows and Mac require selecting a file from the list. Avoid download advertisements.

Windows · official download page ↗

In the file list choose Windows-X64. If it is a ZIP, extract it first and open the app from its folder.

macOS · official download page ↗

Choose ARM64 for Apple Silicon or X64 for Intel. The last Intel-compatible release is 1.4.5. Extract ZIP if supplied; open the DMG and drag the app to Applications.

Linux · official download page ↗

Open Buzz on Flathub and follow Install. Set up Flatpak on your computer first as required by your distribution.

To identify your Mac: Apple menu → About This Mac; Chip means Apple Silicon, Processor Intel means Intel. Downloads can be large; use your computer and a suitable connection.

Official installation instructions ↗
Cost
Free locally; optional external services may cost extra
Difficulty · our assessment
Easy · beginner-friendly

Free without a subscription

Choose a local Whisper or Whisper.cpp model after downloading it. This workflow needs no subscription or paid API credits; cloud services are optional.

Start with your OS installer linked in the guide, then try a short clip. The graphical workflow is approachable; the Python method needs more technical setup.

Start here: choose your OS installer

Start with the desktop app from the menu above. You do not need Python for this workflow.

  1. Download your OS file from the official source, then follow the extraction or installation notes in the download menu.
  2. Open Buzz, choose a local Whisper or Whisper.cpp model and download it for first use; avoid paid API options for the free workflow.
  3. Use File → Import Media File for a short clip, select Transcribe and the language, then Run. Review text and timing and export TXT or SRT/VTT.
Optional Python method · advanced users

A computer with a Python 3.12 environment, pip and FFmpeg for the method below. Local models need an initial download, disk space and processing time. Linux may need the extra system libraries listed in the docs.

pip install buzz-captions
python -m buzz
Original GitHub documentation ↗