MacWhisper is a Mac transcription app for turning audio and video into searchable, editable text. It can process recordings, lectures, interviews, meetings, podcasts, voice memos, and video material locally, while also offering optional cloud and AI connections for workflows that need them.

Drag in a file, let the app create a transcript, correct or search the result, then export it as text, a document, or subtitles. It can also capture and transcribe app audio or supported online meetings in the background, and use real-time dictation for text input in other apps.

Local models make MacWhisper useful for sensitive recordings, but transcription quality still depends on audio quality, speakers, language, and the selected model. Obtain consent before recording people or meetings, and review the output before treating it as an accurate record.

Features

Transcribe dragged-in audio and video files, including interviews, lectures, podcasts, voice memos, and subtitles.
Capture and transcribe audio from Mac apps and supported Zoom, Teams, Webex, Skype, and Discord meetings without a meeting bot.
Use local models offline so sensitive audio can remain on the Mac.
Identify and label speakers, search transcripts, edit text, remove filler words, and batch-process multiple files.
Export transcripts as documents, structured text, or subtitle files.
Use real-time dictation and current AI features such as summaries, chat, and custom prompts with local or connected cloud models.

Where it fits

MacWhisper fits people who need more than a one-off speech-to-text tool and value the option of local processing. It is practical for research, media work, meetings, accessibility, and personal archives.

Cloud and AI features should be evaluated separately from local transcription. Check consent, privacy, and model settings before processing confidential material or recording a call.

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Features

Where it fits

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