Re-reading a chapter the night before an exam is the least effective hour in studying. Hearing two hosts argue through the same material while you walk to class is a different kind of pass — and you can generate it from your own course material, free.
Single-voice TTS of a textbook is a lullaby. The two-host format — one explains, the other pushes back, asks the dumb question, summarizes — keeps you processing instead of drifting, because questions create small prediction moments: you answer in your head before the host does. That's also why NotebookLM's Audio Overview became a study-tool phenomenon. This is the same format, generated automatically from your material, on your own accounts.
Study-audio apps price per book or per month — exactly wrong for someone converting one textbook per course on a student budget. This pipeline is AGPL open source and fits in Cloudflare's free tier; the optional LLM cost is pennies per day. Set it up once in a dorm evening, use it until graduation.
Yes — export them as PDF, txt, or html and upload. Prose-heavy material works best; dense formula sheets are better reviewed visually.
They complement each other: audio is excellent for priming before reading and spaced review after, less good for problem sets and math. The dialogue format helps because questions force micro-recall while you listen.
Neither. It's an orchestration pipeline — TTS and LLM are API calls, storage is Cloudflare's free tier, and the daily job can run on GitHub Actions' free minutes.
Yes — language is auto-detected per book/article and voices switch accordingly; there's also a whole-book translation mode for studying material across languages.