Voice Tutor is a study tool that works by talking. You upload a document or paste a link, then have a conversation about it out loud with an AI tutor. It's currently invite-only while I find people to test it, with a landing page at getvoicetutor.com.
What it does
Before the conversation starts, it extracts the document's claims, the specific things the document actually asserts. That list is what the session is measured against. While you talk, it tracks which of those claims you've genuinely covered and which ones you walked past.
At the end you get a recap: what you got through, and what you skipped. Transcripts, per-session summaries, and cost telemetry write automatically on disconnect, so a document can be picked back up across sessions.
What makes it different
No flashcards, no quizzes, no summaries. Most AI study tools remove the effort, which is why nothing sticks. This one keeps it, and tells you honestly where the gaps are.
That's what the claim extraction is for. A tool that only summarizes can tell you what a document said. Tracking claims is what lets this one tell you what you never got to.
Validation
Two structured Reddit runs, both grounded in real posts and run through the Last 30 Days pipeline. The first tested the “drowning in saves” framing against r/PKMS and r/Obsidian. The pain is real, but more diffuse than I'd originally pitched.
The second tested a study companion hypothesis against med, law, and undergrad subreddits. The framings I'd sketched in the design doc, voice-as-study workaround, hallucination-on-named-doc, casebook into ChatGPT, all show up verbatim in titles. The positioning that holds up is narrow and concrete: ChatGPT voice mode bound to one document, with a recap when you're done.
Stack