Buzz

Buzz is a free desktop application for transcribing and translating audio offline with OpenAI’s Whisper family of models. It suits people who need local processing, speaker-aware transcripts, or scripted workflows rather than a browser meeting service. Its broad input and export support is compelling, but hardware and macOS compatibility should decide whether it fits your computer.

Overview

Buzz handles audio and video files, YouTube links, and live microphone input. Once the required models are downloaded and moved to the computer, it can work without an internet connection, which is useful for sensitive recordings or unreliable connectivity. You can instead send speech to a remote server through the OpenAI API by adding an API key in Preferences.

The application is MIT-licensed and free to use. That removes subscription costs, while putting model downloads, local storage, processing time, and hardware capability in your hands. Smaller models finish faster but may be less accurate; larger models can improve recognition at the cost of stronger hardware or longer waits.

Key features

Transcription and translation

Support for Whisper, Whisper.cpp, Faster Whisper, and Whisper-compatible Hugging Face models gives you control over the recognition engine. This is valuable when you want to balance speed and accuracy or use a compatible model beyond the defaults. It also means that choosing an appropriate model is part of getting good results.

Transcript control

Speaker identification and speaker labels make interviews, meetings, and multi-person recordings easier to review. Timestamps preserve alignment with the source, while the searchable transcript viewer is practical for finding a phrase in a long recording. Keyboard shortcuts speed navigation for frequent users.

Files, automation, and extensions

Speech separation can help distinguish voices. A watch folder automatically transcribes incoming media, and the command-line interface supports repeatable scripts and automation. The plugin system, with examples such as AI summaries and transcript resizing, provides an extension route for technical users. Exports are limited to TXT, SRT, and VTT, but those cover plain text and common subtitle workflows.

Pricing

Buzz — free. The free desktop application is MIT licensed, with no paid tier described. It is a strong fit for individuals, researchers, and small teams able to run processing locally. The trade-off is that you supply compatible hardware and manage model downloads; there is no published hosted quota or support tier to fall back on.

Platforms

Buzz runs on Linux, macOS, and Windows. An AVX2-capable CPU is required, excluding very old computers. On macOS, current releases require Apple silicon; version 1.4.5 was the last Intel-compatible release. The Windows application is unsigned and may produce an installation warning, so cautious users should account for that extra friction.

Who it's for

Choose Buzz for offline transcription, privacy-sensitive material, local model choice, or command-line and watch-folder automation. It is especially suitable for people comfortable selecting models and allocating local compute. Look elsewhere if you need a managed web service, broad mobile access, or hardware-independent processing.

Pros and cons

Pros

• Offline operation: Transcribe without a connection after transferring the models.
• Flexible inputs: Files, YouTube links, and microphone audio cover common recording sources.
• Speaker-aware review: Identification, labels, timestamps, search, and shortcuts improve work on long multi-speaker recordings.
• Automation options: Watch folders, a CLI, and plugins support repeatable workflows.
• Open licensing and no fee: The MIT license and free price suit self-managed deployments.

Cons

• Hardware dependency: AVX2 is mandatory, and larger models need more capable hardware or time.
• Mac limitation: Current macOS support requires Apple silicon, leaving Intel users on an older release.
• Limited export menu: Output is restricted to TXT, SRT, and VTT.
• Windows warning: The unsigned installer can trigger an installation warning.

Alternatives

Pick Notta instead if you want freemium access across Android, iOS, web, macOS, Windows, and a browser extension; its free plan allows one seat and 120 transcription minutes per month.

Gladia is the better choice for an API-oriented workflow with macOS, web, or Windows access and a flexible-pay-as-you-go asynchronous starter plan.

Choose Happy Scribe for meeting recordings with a free plan offering unlimited recordings, 45 minutes per recording, and a 10-minute AI trial.

Speechmatics suits API, self-hosted, or web deployments, with Linux and Windows support and a free credit-based plan.

Select Vosk when you want another free, offline speech-recognition option spanning mobile, desktop, server, and API use.

Fathom is preferable for web-based meeting capture with unlimited free recordings and transcriptions plus instant AI call summaries.

Choose tl;dv for web or desktop meeting recording with unlimited free recordings and transcriptions.

Voice In is aimed at dictation in 50-plus languages, with punctuation commands and 60 minutes of free dictation per day.

For a wider comparison, see Speech-to-Text Software and Transcription Software.

Verdict

Buzz is a strong recommendation for technically comfortable users who want free, private, offline transcription with speaker tools and automation. Choose it for local control and model flexibility; look elsewhere when you need current Intel-Mac support, a signed Windows installer, mobile clients, or a hosted service that removes hardware management.