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ExamAI

Turn your PDFs into exam-ready answers with local AI

ExamAI is an offline AI study assistant that lets students ask questions directly from their PDF notes. It uses local embeddings, ChromaDB, and Ollama to keep study data on the user's computer. It supports multiple PDFs, document switching, exam answers for 2M, 5M, 8M and 10M questions, and full-document summaries.

Top comment

Hey Product Hunt 👋 I built ExamAI because I wanted a simpler way to study from my own notes without sending them to a cloud AI service. ExamAI lets you upload your PDF study material and ask questions directly from it. It uses local AI, embeddings, and vector search to keep the workflow offline. A few things I built into it: • Multiple PDF support with document switching • Exam Mode for 2M, 5M, 8M and 10M answers • Full-document summary mode • Local ChromaDB vector storage • Local Ollama inference • No external AI API required The biggest challenge was making the retrieval system work reliably across multiple documents while keeping each document's context isolated. I'd really appreciate feedback from the Product Hunt community — especially on the product positioning, UX, and what feature you think I should build next. Thanks for checking out ExamAI! 🚀

About ExamAI on Product Hunt

Turn your PDFs into exam-ready answers with local AI

ExamAI was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #142 on the daily leaderboard. ExamAI is an offline AI study assistant that lets students ask questions directly from their PDF notes. It uses local embeddings, ChromaDB, and Ollama to keep study data on the user's computer. It supports multiple PDFs, document switching, exam answers for 2M, 5M, 8M and 10M questions, and full-document summaries.

On the analytics side, ExamAI competes within Productivity, Education and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how ExamAI performed against the three products that launched closest to it on the same day.

Who hunted ExamAI?

ExamAI was hunted by Apoorva Chittapur. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of ExamAI including community comment highlights and product details, visit the product overview.