To transcribe a lecture on a Mac, capture it one of three ways — record the room with your microphone, capture the audio of an online class playing on your Mac, or drop a recording file in afterward — and let an on-device speech engine turn it into timestamped text. TranscribeAnything does all three, transcribes a 90-minute lecture to searchable text in about five minutes at up to 80× realtime, and keeps every recording on your own machine, which matters when a lecture includes other students or unpublished material.
Lectures come in different shapes, so capture does too. For a physical classroom, the microphone records the room. For a remote or recorded class — a Zoom seminar, a Panopto replay, a YouTube-hosted lecture playing in a browser tab — system-audio capture transcribes exactly what your Mac plays, with no bot joining the call. And if a professor posts the recording afterward, you drop the file in and read it before the next session.
Because it all runs locally, there's no upload step and no meter counting your minutes. TranscribeAnything runs Apple's on-device speech engine at up to 80× realtime, supports 10 languages, and costs $19.99/year for unlimited transcription — the first 5 transcriptions (up to 30 minutes each) are free.
A raw transcript is searchable on its own — Cmd-F to the moment the professor defined a term. But the real leverage is the next step: paste the exported text into ChatGPT or Claude and ask for a summary, a set of flashcards, or a study guide keyed to the lecture. The timestamps survive the copy, so you can jump back to the original audio for anything the AI compresses too far.
For a full semester, a folder of Markdown transcripts becomes a searchable knowledge base of everything that was said in every class — the kind of thing that's impossible to reconstruct from handwritten notes.
Lectures often contain other students' voices, unpublished research, or a professor's work-in-progress. On-device transcription means that audio never touches a third-party server, so there's nothing to leak and no terms-of-service to read. It also works with the Wi-Fi off — useful in a lecture hall where the network is saturated.