Concrete voice workflows for scholarly writing: handling citations, LaTeX math, discipline jargon, and structured arguments without breaking your drafting flow.
A practical comparison of five Mac dictation apps, with a privacy-first scorecard and a repeatable test for accuracy in your own workflow.
A practical Mac workflow for capturing spoken notes, refining a transcript, and drafting decisions and action items for review.
What the Neural Engine inside M1 through M5 chips does, which Whisper runtimes actually use it, and how to measure local transcription speed on your own Mac.
A step-by-step method for checking where a transcription app sends your audio and text, using tools already on your Mac plus an outbound firewall and a proxy.
Cloud medical dictation sends patient audio to a third party. Here's what HIPAA says about that, and how clinicians can dictate notes locally as part of a reviewed workflow.
A walkthrough of the three jobs that turn a raw speech transcript into clean text, from filler removal to grammar correction to restructuring, and how to check the result.
A per-minute cloud transcription rate looks small until you multiply it by a year of dictation and add retention terms, compliance work, and switching costs.
A plain-language breakdown of the Neural Engine, GPU, and unified memory, and how they let a speech model like Whisper transcribe on your Mac without a network connection.