MacWhisper 13.0 lands with new “Liquid Glass” UI and multi-transcription support

MacWhisper has reached version 13.0, a substantial update that brings both visual and functional improvements to the Mac transcription app. The headline change is a fully reworked user interface designed to better align with Apple’s contemporary “Liquid Glass” aesthetics, offering a cleaner, more readable presentation.

On the workflow side, users can now open multiple transcriptions simultaneously, making it easier to compare, edit or manage several transcripts in parallel. The update also reorganizes the app’s layout and navigation to improve clarity and streamline common tasks.

Key changes in MacWhisper 13.0

• Completely redesigned UI to match Apple’s Liquid Glass design language for improved visual integration and readability.
• Support for opening multiple transcriptions at once for side‑by‑side review and faster editing.
• Restructured interface and navigation aimed at making transcription management more efficient.

Who benefits

This release will be especially useful to journalists, researchers, podcasters and anyone who regularly works with multiple audio files or needs to manage many transcriptions. The ability to view and switch between transcripts quickly should speed up editing and comparison workflows.

Tips for testers and upgraders

• Back up important transcriptions before upgrading to avoid accidental data loss during the transition.
• Explore the new multi‑transcription workflow by opening several files and testing copy/paste, search and export behavior to ensure it fits your process.
• If you rely on third‑party integrations or scripts, check compatibility notes from the developer or in the app’s release notes.

For background on Apple’s UI direction, see the Apple Human Interface Guidelines for macOS. For full details on MacWhisper 13.0, check the app’s release notes inside the app or on the developer’s site.

Discussion: Will you install MacWhisper 13.0 now to try the redesigned UI and multi‑transcription workflow — or wait for user feedback first?