What Is Explainpaper? AI-Powered Explanations for Research Papers

Updated

Explainpaper is a web tool that helps you read research papers faster by explaining confusing text on demand. You upload a paper, highlight any passage you don't understand, and an AI model returns a simpler explanation of that section. It's aimed at anyone who reads dense academic writing—students, researchers, and people moving into unfamiliar fields—and the site states it is used by 400,000+ researchers. The core idea is to remove the friction of jargon and unfamiliar phrasing without forcing you to leave the paper.

How Explainpaper works

The workflow is built around a single action: selecting text.

  1. Upload a paper. You bring a paper into the tool rather than searching for one inside it.
  2. Highlight confusing text. Any word, sentence, or section you're stuck on can be selected.
  3. Get an instant explanation. The tool returns a simplified explanation of what you highlighted.

Behind the scenes, the site says a large language model simplifies and explains complex concepts. That's the whole mechanism: your selection is the input, the LLM produces a plain-language explanation as the output. There's no need to write a prompt or reformat the paper first.

What it's good at

Explainpaper targets the specific moment when reading stalls—the sentence you re-read three times because of jargon. According to the site, the intended benefit is reading research papers "10x faster" by clearing those blockages as they happen.

The testimonials on the page describe a few consistent use cases:

  • Reducing review time. Bindu Reddy says her AI and ML research paper review time "has gone down significantly" because the tool explains dense sections.
  • Getting past jargon on a first pass. Kenneth Cassel notes that academic papers are "filled with so much jargon that it's hard to grok them at first pass," and describes asking an AI questions about a paper as a useful way through.
  • Changing reading habits. Simon Kozlov says that in a few days the tool "completely changed how and how often I read papers," selecting any words to get an LLM explanation.
  • Building confidence in new territory. Amy describes using it when feeling "a bit intimidated about learning complex concepts," specifically when digging into ML.
  • Making reading feel less solitary. Justin Torre compares it to "having a buddy reading the paper with me."

These are user-reported impressions, not measured benchmarks, so treat the "10x" framing as the product's claim rather than a guaranteed result.

Who it's for

Explainpaper fits you if:

  • You read papers outside your primary specialty and hit terminology walls.
  • You want explanations in place, without switching to a separate search or chat window.
  • You're a student or self-learner working through ML, AI, or other technical literature.

It's less useful if you need to extract structured data from papers, manage a large reference library, or produce citations—those are different jobs.

Pricing and access

The site's headings include "Start Free, Try Pro for 7 Days," which indicates a free starting point and a 7-day Pro trial. A pricing page exists at explainpaper.com/pricing. The available material doesn't specify Pro's price, what the free tier limits are, or whether an account is required to upload a paper, so check the pricing page directly before committing.

A practical way to try it

Pick one paper you've been avoiding because it looked impenetrable. Upload it, then read normally and highlight only the passages that actually stop you—definitions, method descriptions, results you can't parse. Compare the explanations against your own reading: if they consistently unblock you, the tool is doing its job for your use case. If you find yourself highlighting nearly every line, the paper may simply be too far outside your background for on-demand explanations to carry the load, and a review article on the same topic would serve you better first.