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.
How the Neural Engine inside M1 through M5 chips accelerates Whisper transcription, and the real performance gains over CPU-only inference.
I intercepted network traffic from seven popular transcription apps. Here's exactly where your voice data goes, who stores it, and which apps never phone home.
Cloud-based medical dictation sends patient audio to third-party servers. Here's how physicians can dictate clinical notes locally and stay HIPAA compliant.
A technical walkthrough of the three-stage pipeline that transforms raw speech transcription into clean, publication-ready text, from filler removal to grammar correction to restructuring.
Cloud transcription looks cheap at $0.006/minute until you calculate annual spend, data retention risk, and the switching costs nobody warns you about.
A plain-language breakdown of Neural Engine, Metal, and unified memory, explaining exactly how Whisper transcribes your speech without ever leaving your Mac.