Buzz Captions

Buzz Captions

Buzz Captions delivers offline audio transcription and translation powered by OpenAI's Whisper, running securely on your computer.

Screenshots

Buzz Captions screenshot

About Buzz Captions

Buzz Captions is a desktop application that brings professional-grade speech recognition to your personal computer without requiring cloud uploads or internet connectivity. Built on OpenAI's Whisper technology, it enables you to transcribe audio and video files while maintaining complete privacy over your sensitive content. The application supports importing media in multiple formats and exporting transcripts as CSV, SRT, TXT, or VTT files—ideal for content creators, researchers, and accessibility professionals. The tool excels at multilingual transcription, converting audio from any supported language into English text or maintaining the original language. Live transcription through your computer's microphone adds flexibility for real-time meeting notes, interviews, and live event documentation. The application intelligently adapts to your system's processing power, offering different Whisper model sizes to balance accuracy and speed based on your hardware capabilities. Available across Windows, Linux, and macOS, Buzz Captions provides consistent functionality regardless of your operating system. The macOS version includes native integrations like transcript search, audio playback controls, and inline editing capabilities that respect the platform's design conventions. As a free, open-source project hosted on GitHub, it combines accessibility with transparency, allowing users to inspect code and contribute improvements.

Pros

👍 Completely offline transcription ensures complete data privacy 👍 Supports 99+ languages with cross-language translation capability 👍 Free and open-source with no subscription fees 👍 Multiple export formats for flexible workflow integration 👍 Works across Windows, Linux, and macOS platforms

Cons

👎 Transcription speed depends heavily on your computer's hardware 👎 Whisper can be resource-intensive for real-time processing 👎 Large language models require significant disk space storage 👎 Accuracy varies by language, audio quality, and selected model