DeepTutor

DeepTutor

Vibe reading meets Zotero

5.0
•1 review•

182 followers

DeepTutor brings "vibe reading" to Zotero - instantly grasp research essence without getting lost in details. Like Cursor for VSCode, we make your beloved Zotero AI-native for modern academic work. Perfect for: Daily Zotero users, PhD students, and researchers who want to understand papers faster and connect insights across their research. Key features: Native integration, instant summaries, contextual insights.

DeepTutor gallery image
DeepTutor gallery image
DeepTutor gallery image
DeepTutor gallery image
DeepTutor gallery image
DeepTutor gallery image
DeepTutor gallery image
DeepTutor gallery image
Free
Launch tags:
Education•Artificial Intelligence•School
Launch Team

What do you think? …

Logan

Hi Product Huntđź‘‹,


I’m Logan, founder of DeepTutor!I’m excited to share what we’ve been working on! 🚀 Over the past 2 months, my team and I have been reimagining how researchers, students, and professionals engage with academic papers and complex PDFs—which led us to create DeepTutor.


🔍 Meet DeepTutor

DeepTutor is an AI-powered research assistant built for academic, corporate, and professional document analysis—going far beyond basic text retrieval.

If you've ever struggled with dense research papers or lengthy reports, DeepTutor makes reading faster, smarter, and more interactive with:

  1. Knowledge structuring with Graph RAG – Unlike basic text retrieval, DeepTutor maps relationships between concepts, helping you understand papers holistically.

  2. Image & Graph Understanding – DeepTutor analyzes figures, charts, and visual data inside PDFs, integrating them into AI-driven insights.

  3. Deeper Intent & Context Awareness – Built on DeepSeek’s R1 inference model and complex agentic workflows, DeepTutor understands both your intent and the document’s meaning, providing high-quality responses.

  4. Precise Source Highlighting – Every AI-generated answer is backed by exact citations within the document, so you never lose track of key references.

🔬 Why DeepTutor?

We know there are general PDF AI tools out there (like ChatPDF), but DeepTutor is designed specifically for in-depth reading and research, built for those who need more than just surface-level retrieval.


💡 We’d love your feedback!

If you’re a PhD student, researcher, or someone who works with complex PDFs, give DeepTutor a try and let us know what you think. Let’s make research easier and more insightful together.


Looking forward to your feedback, and thank you for being part of our journey! 🚀📚

Logan

@victoria_wu Thank you for your reply - Very exciting that we can help the PhD and researchers work.
Please let me know if you have any questions when you try it out. Any feedback and/or feature request would be much appreciated!

Alexandru Rada

@loganye built in 2 months only? nice.

Logan

@alxrda Thank you! Days and nights, but totally worth it!

Venkatesh Iyer

This looks like a game-changer for researchers and students dealing with dense academic papers! The Graph RAG feature sounds especially useful for understanding complex relationships between concepts. How well does DeepTutor handle multi-document analysis? For example, if someone is comparing findings across multiple papers, does it provide a consolidated summary? 🚀📚

Logan

@williamrobertscott Hi William - that is a great question! Multi-document would definitely be on our roadmap (probably next major version) for the short answer. However, currently we are focusing on make DeepTutor the BEST single paper reading tool on the market, as we did some user interview and figured out ~70% of the cases are single paper reading instead of multiple files understanding.
But after that, we will definitely move forward to multiple doc analysis, and we are exciting about the possibility for that too!

Gene Dai

I wish I had discovered DeepTutor sooner—it would have been a total game-changer for my research. With its tailored Q&A sessions and smart visual content analysis, this cutting-edge AI tool accelerates the research process and makes it incredibly convenient.
💪🚀

Logan

@genedai Thank you for the comment. That's great that we can help on an actual use case. Any feedback and/or feature requests would be much appreciated!

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