Buzz, developed by Chidi Williams, is a desktop application for converting spoken audio into text. It allows users to import audio files directly from their computer and uses OpenAI’s Whisper speech recognition model to transcribe speech in multiple languages. The application supports several export formats suitable for subtitle creation and text-based workflows. Buzz also includes real-time transcription through the system microphone, making it useful for live dictation and situations where immediate text output is needed.

Flexible export formats and real-time transcription

Buzz supports exporting transcriptions in multiple formats, including CSV, SRT, TXT, and VTT. These formats allow users to reuse transcription output across a variety of applications, particularly for subtitle and caption creation. The application also includes real-time transcription via the system microphone, enabling spoken words to be converted into text immediately. This capability supports workflows that rely on live input rather than prerecorded audio.

While Buzz emphasizes transcription accuracy and output flexibility, it offers only basic in-app text editing, with more advanced editing tasks typically handled in external tools. Overall, Buzz focuses on core transcription functionality and is available as a cross-platform desktop application.

A reliable tool for audio transcription

Buzz delivers focused transcription functionality through its support for multiple languages and real-time speech-to-text conversion. Its feature set accommodates both prerecorded audio files and live microphone input, making it suitable for a range of transcription and captioning tasks. While the application emphasizes core transcription capabilities over advanced editing features, it stands as a dependable option for efficient audio-to-text conversion and subtitle generation on desktop platforms.