Voice · Setup in 8 min· Setup Pass

Set up Whisper for private audio journaling in 8 minutes

Use a free, open-source AI to transcribe your private health voice memos on your own machine, no cloud required.

If you use voice memos to keep a symptom journal or log health notes, you need a private way to search and organize them. This guide configures the open-source Whisper model to run locally, transcribing your audio files without sending them to a third party.

Before you start

• A Mac with Apple Silicon (M1/M2/M3)
• The latest version of macOS
• 15 minutes of quiet time

The steps

1. 01

   Install MacWhisper

   Download and install MacWhisper from the official website. This application provides a simple graphical interface for OpenAI's Whisper model, removing the need for command-line operations.

2. 02

   Select your transcription model

   In MacWhisper's settings, choose the 'tiny' or 'base' model. These models are smaller, run faster on most machines, and are accurate enough for clear, single-speaker dictation like a symptom journal.

3. 03

   Transcribe your first audio file

   Drag and drop an audio file (e.g., an M4A from Voice Memos) into the MacWhisper window. The app will process the audio locally and display the transcription directly.

4. 04

   Review and export the transcript

   Read the generated transcript to check for any errors in key terms like medication names or specific symptoms. You can then copy the text or export it as a plain text file to your personal health ledger.

5. 05

   Create a health log

   Paste your transcribed notes into a secure document or notes app, creating a searchable, time-stamped log. This converts your raw audio into a structured data layer for later review, forming the 'Ledger' part of the 3-Layer Method.