MacWhisper

Developed by Jordi Bruin under his Goodsnooze app studio, MacWhisper transforms any audio or video file into accurate, searchable text transcripts through local on-device processing meaning audio data never leaves the user's machine and no internet connection is required for transcription after the initial model download.

This local-first architecture makes MacWhisper particularly valuable for journalists, lawyers, medical professionals, and researchers handling sensitive recorded content.

The application supports a wide range of input methods beyond simple file uploads.

Users can record directly from their Mac's microphone or any connected input device for real-time transcription, while an automated meeting recording feature monitors active calls in Zoom, Teams, Webex, Skype, Discord, Chime, and other popular video conferencing platforms.

This automated capture eliminates the need to manually start and stop recording during meetings, ensuring that conversations are captured completely from start to finish without any action required from the user mid-meeting.

The resulting transcripts are fully searchable, enabling users to locate any spoken moment across their entire library of recorded conversations.

MacWhisper's system-wide dictation replacement capability is one of its most practical features for everyday productivity. Apple's built-in dictation relies on cloud processing with accuracy limitations, particularly for technical terminology, non-standard names, and accented speech.