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Buzz: open-source app that transcribes and translates audio on your own computer

By AiCoN | Published 12 October 2026 | Sources checked 12 October 2026

Buzz says it transcribes and translates audio offline on your own computer. It is open source under the MIT licence, and its pages list no price.

Official publisher logo; independent guide, not sponsored

Official publisher logo hosted by its publisher. Official source. Independent guide, not affiliated or sponsored. Artwork and trademarks belong to their owners.

Official app screenshot

Buzz's main window with audio files queued and completed transcriptions, from the project's official GitHub README. Image supplied by the project, not an AiCoN hands-on test. Open original 936 × 666 image. Source: official GitHub page. Media checked 23 October 2026. Independent guide, not sponsored.

What it is

Buzz is a desktop app that turns speech in audio or video files into text, and can translate it. Its GitHub page says it works offline on your own computer and is powered by OpenAI's Whisper models. It runs on Mac, Windows and Linux.

Is it free?

As far as its official pages show, yes. Buzz is open source under the MIT licence, and its GitHub page and documentation list no price, plan or subscription. We did not find an outright "free" line, so this is our reading of the open-source licence, not a verified price promise. Optional remote API services are separate; their prices and billing were not checked.

What it can do

What your computer needs

How to try a file

  1. Get the installer through Buzz's official GitHub links, matching your computer.
  2. Prepare a local speech model before relying on offline use. Avoid API options if the audio must stay on your computer.
  3. Choose File → Import Media File or the + icon, then select an audio or video file.
  4. Choose task, language and model settings, then Run. The docs recommend choosing the language rather than relying on automatic detection.
  5. When the status is Completed, double-click the row to view the transcript. Check it for mistakes and choose TXT, SRT or VTT for export.

Privacy

India

Buzz is a downloadable open-source app and its pages name no country limits. Buzz does not publish an India-specific statement, so we cannot confirm India availability from an official page. Check that the download works for you.

AiCoN checkRead Buzz's GitHub page, documentation and releases page on 12 October 2026. We did not install or test it.

Frequently asked questions

Does it need internet?

Offline use needs the model files already on the computer. The FAQ says you can download models on an internet-connected computer and copy their folder to an offline computer. Help → Preferences → Models lets you download models and find their location. We did not test automatic first-use downloads.

Is it a meeting recorder?

It transcribes files and microphone input. The FAQ also explains that system audio needs a virtual audio device configured as the input. It is not a one-click meeting service. AiCoN advice: get permission before recording other people.

Will it work on an Intel Mac?

Only the older version 1.4.5, says its GitHub page.

What changed since this post?

Repository, docs, releases, FAQ, file-import and preferences pages checked on 12 October 2026. FAQ resolves the model-preparation question and adds system-audio setup and AVX2 requirements. Main-branch docs can describe features newer than an installed release; match them to your version. Release asset loading showed an error, so download files were not tested. No installation, transcription, translation, India download or data-collection test performed.

Sources: Buzz on GitHub, Buzz documentation, Buzz releases, FAQ, file import, preferences. Checked 12 October 2026.

Scoped recheck 23 October 2026: GitHub README, documentation FAQ and releases re-read. The MIT licence is unchanged and the latest release is still v1.4.5 (August 2026). The Apple silicon requirement with Intel Mac support up to version 1.4.5, the unsigned-app Windows warning, the Flatpak, Snap and AppImage options, and the AVX2 CPU requirement all still match the official pages. Links checked.