Visual academic paper discovery tool that generates a similarity graph of related research from a single seed paper.
Visit Website →Explainpaper
FreemiumAI tool that explains confusing passages in research papers instantly, letting you highlight any text and get a plain-language explanation powered by GPT.
What is Explainpaper?
Explainpaper does one thing well: it makes dense academic writing legible. You upload a PDF, highlight whatever is confusing, and it explains that passage in plain language, with the option to ask follow-up questions until the concept lands. Because explanations are anchored to the specific text rather than the whole document, it works well for methods sections, unfamiliar notation and jargon-heavy passages that a general summary would skip past. Two things to weigh. The narrow focus is the point: it does not manage references, map literature or extract data, so it complements a reference manager rather than replacing one. And explanations come from a language model reading the paper, so they can smooth over genuine subtleties or state something the paper does not quite say. Treat it as a reading aid that gets you to comprehension faster, not as an authority on what a paper means.
Key Features
How to Use Explainpaper
✅ Best For
- Interdisciplinary researchers and scientists who frequently read papers from adjacent fields and need quick, accurate explanations of unfamiliar terminology without losing hours to background reading.
- Undergraduate and master's students who are reading peer-reviewed papers for the first time and need a patient, always-available guide to walk them through dense methodology and results sections.
- Science journalists, policy researchers, and curious non-specialists who need to accurately interpret complex academic findings without the training to parse field-specific jargon.
❌ Not For
- Researchers who need a full literature review pipeline, citation management, systematic review tools, or paper discovery features, as Explainpaper is focused exclusively on explaining single uploaded documents.
- Teams needing multi-user collaboration, shared annotation libraries, or integration with reference managers like Zotero, since Explainpaper is built as a solo reading comprehension tool.
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Pricing
- ✓Unlimited highlight explanations and follow-up questions
- ✓forever
- ✓Paper summaries
- ✓highlight history
- ✓paper search (coming soon)
- ✓GPT-4 powered
- ✓multi-paper analysis (coming soon)
- ✓all Plus features
Prompts to Try
Explain what this equation means in plain English
What does the term confounding variable mean in this methodology section?
Summarize the key findings of this paper in three bullet points
Use Cases
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