Lectures move fast, reading lists are long, and doing it all in a second language is exhausting — you burn more energy decoding English than learning the subject. TransCastAI runs entirely on your own Mac, turning live lectures, your own recordings, and the PDFs, slides and papers you're set into clear text in your language — and back into English — so nothing you study ever leaves your laptop.
A sample of the everyday capabilities that matter for Individual Students.
Caption a lecture as it happens, or drop in a recording of last week's seminar, and read it in your language with the original English kept right beside it.
Turn set readings, lecture slides and PDFs into clean study notes in your language — the technical terms handled properly, not guessed at.
Draft a study note or a question for your tutor in Farsi or Arabic and see a faithful English version — both directions, in one workspace.
Everything runs on your own Mac. Your recordings, notes and reading list are never uploaded and never sit on anyone else's server.
Translation happens on your Mac today — no uploads, no cloud queue, no history building up under your name — so there is nothing to leak and it keeps working on a train or in a library with no wifi. Private-server and fully offline, air-gapped deployments are on the roadmap for institutions that need to run it centrally.
One tool for live audio, your own lecture recordings and the documents on your reading list — not a text box you paste sentences into.
The models are trained on subject and domain vocabulary, so field-specific terms come through accurately instead of being flattened into everyday words — and the English stays alongside so you learn the term too.
Runs on macOS today (a Windows version is in development) and keeps translating with no internet connection — useful in lecture halls, on commutes and when you travel home.
Nowhere. Translation runs entirely on your own Mac, so your lectures, recordings, notes and PDFs are processed locally and are never uploaded to a server. That also means it keeps working with no internet connection — in a lecture hall, on a commute or back home.
The models are trained on specialist and domain terminology rather than everyday language alone, so subject-specific terms are handled properly — and the English is kept alongside your language so you pick up the vocabulary as you go. It supports English ⇄ Farsi and English ⇄ Arabic today, with Chinese, Russian and Ukrainian in training.
It runs on macOS today (a Windows version is in development), and you can start with a free trial to see how it handles your own lecture recordings and readings before you pay. If your university offers a TransCastAI student code, you can activate at a student rate on your own device.
Start a free trial and run TransCastAI on a real lecture recording and a paper from your reading list — privately, on your own Mac. If your university has a student code, use it for a reduced rate.
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