Explainpaper

Explainpaper is an AI-powered research paper reader designed to help students, researchers, academics, and professionals understand complex academic and technical documents more quickly. Its primary purpose is not to generate large amounts of new content, but to make difficult research papers easier to read by allowing users to highlight confusing sections and receive simplified explanations based on the surrounding context of the paper. The platform describes itself as a tool for reading research papers faster and currently says it is used by more than 400,000 researchers.

The central experience begins when a user uploads a research paper to Explainpaper. Once the document is available, the reader can highlight a sentence, paragraph, formula, or other confusing passage and ask the platform to explain it. The explanation is generated in a simpler form, allowing users to move from highly technical academic language to a level that is easier for them to understand. The platform supports adjustable explanation complexity, ranging from beginner-oriented explanations to more advanced ones.

A key strength of Explainpaper is its in-context explanation system. Instead of analyzing an isolated sentence without considering what comes before and after it, the platform says it understands the full context of the uploaded paper when explaining selected material. This can be particularly useful for scientific writing in which individual sentences may depend heavily on definitions, methods, experiments, or terminology introduced elsewhere in the document.

Explainpaper also provides paper chat. Users can ask questions about the paper and receive answers based on the actual content of the uploaded document rather than relying only on general AI knowledge. Follow-up questions can be used to explore the same topic in greater depth, allowing a user to continue a research discussion without starting a new conversation every time.

The paper-chat workflow also supports source-specific navigation. Explainpaper indicates that users can cite or jump to specific sections of a paper when reviewing answers, helping them connect the AI explanation back to the source. This is useful for research because it gives users a way to verify what the AI says instead of treating the generated response as independent factual authority.

Another important capability is summarization. Explainpaper can generate a summary of an entire research paper, highlighting its main findings and important conclusions. This is especially valuable when screening papers during a literature-review process because researchers often need to determine whether a paper is relevant before spending time reading every section in detail.

The platform also provides auto-generated insights. These include a smart outline, key-point extraction, and identification of relationships between concepts. The outline helps users navigate complex papers, while key-point extraction surfaces the most important information. Concept relationships are intended to help readers understand how major ideas in the paper connect to one another.

Explainpaper’s focus on research comprehension makes it useful during several stages of an academic workflow. Students can use the tool to understand unfamiliar terminology and difficult papers, while researchers can use it to screen literature, clarify methods, investigate results, and review conclusions. Professionals working with scientific or technical documents can also use the same workflow when a document contains specialized language that is difficult to interpret quickly.

The platform is particularly relevant to people who encounter dense jargon in academic or technical documents. Its core workflow removes much of the friction involved in identifying a difficult phrase, finding a separate explanation online, and returning to the original paper. Instead, the user can highlight the confusing section and request an explanation within the same environment.

Explainpaper also supports mathematical and graphical explanations through its paid features. The current Pro plan specifically includes Math Explain, which is designed to explain mathematical formulas and figures. This extends the service beyond ordinary text clarification and is particularly relevant to research areas in which equations, charts, and figures carry important parts of the argument.

Another paid capability is full-paper summarization. While the free tier focuses on unlimited highlight explanations and follow-up questions, Pro adds summaries for entire papers. This provides a more comprehensive overview of a document and can help users identify the research question, structure, findings, and major arguments before reading the full text.

Explainpaper also includes a save and memory workflow for researchers. Pro users can save highlights and explanations so that important sections can be revisited later. This can be valuable when working through a large collection of papers or preparing a literature review because researchers can retain useful explanations instead of having to rediscover the same concepts during a later reading session.

The current platform supports Zotero library import. Free users can connect their Zotero library and bring their research collection into Explainpaper. This makes the service more convenient for academics already using Zotero as their primary reference-management system. Rather than manually uploading every paper individually, users can work from an existing research library.

Explainpaper is designed primarily as a web-based research tool. Its workflow centers around uploading or importing academic papers, reading them online, highlighting passages, asking questions, and saving useful explanations. It deliberately avoids requiring a large collection of third-party integrations and instead keeps the research workflow largely self-contained.

Language accessibility is one of the product’s strongest current features. Explainpaper’s homepage states that it supports 50+ languages for its in-context explanations and allows users to receive explanations in their native language. This is particularly useful for researchers and students who can read academic material in English but prefer to understand difficult concepts through explanations in another language.

The platform’s language feature is focused on the explanation output, rather than necessarily providing 50+ fully localized interface languages. This distinction matters when evaluating the product for a directory. The official site explicitly markets explanations in 50+ languages, so it is appropriate to describe the product as supporting 50+ languages for explanations without assuming that every aspect of the user interface has been translated.

Explainpaper was founded in 2022 and is based in San Francisco. LinkedIn identifies the organization as a privately held research-services company with a small team. G2 also identifies Explainpaper as a company founded in 2022 and lists the same San Francisco headquarters. The company was created around the problem of helping people understand technical and academic papers without having to repeatedly search for explanations of unfamiliar terms.

The platform’s current pricing is straightforward. Explainpaper provides a Free plan at $0/month with unlimited highlight explanations, follow-up questions, Zotero library import, and access to basic AI models. The Pro plan costs $16/month on the current pricing page and includes advanced AI models, whole-paper summaries, saved highlights and explanations, questions about the paper, and Math Explain for formulas and figures. Pro also comes with a 7-day free trial. Explainpaper offers a Teams plan with custom pricing for organizations and additional team-management, priority-support, and volume-discount features.

Explainpaper also provides a 14-day money-back guarantee for Pro subscriptions. Billing is handled through Stripe, and the company’s fulfillment policy states that users can cancel their subscriptions from account settings and retain Pro access until the end of the existing billing period.

The company’s current site states that more than 400,000 researchers use Explainpaper. It also displays testimonials from researchers and technology professionals who describe reductions in research-reading time and praise the ability to understand difficult material quickly. These are company-displayed testimonials rather than independent review statistics.

Independent review coverage is still small. G2 currently gives Explainpaper 4.0/5 from 1 review. The verified G2 reviewer praised the service for breaking down dense technical documentation, its clean and intuitive interface, fast explanations, affordability, and lack of a complicated onboarding process. The reviewer also noted that the platform works directly with uploaded PDFs and therefore does not require integrations with other applications for its basic workflow.

Because Explainpaper has only one G2 review, this rating should be considered a limited signal rather than a broad measure of customer satisfaction. The current G2 profile does not provide enough review volume for a statistically meaningful assessment. Nevertheless, the product’s core value proposition is clear: it is designed to make complex research papers easier to understand through contextual explanations, paper chat, summaries, and structured insights.

Explainpaper is best suited to students, researchers, academics, technical professionals, and anyone who regularly reads scientific or research-heavy documents. Its strongest differentiator is the ability to interact directly with a paper and receive explanations of selected passages in context. It is less suited to users looking for extensive academic writing generation, citation management, SEO tools, or broader productivity automation.

Pricing

• Free: $0/month. Includes unlimited highlight explanations, follow-up questions, Zotero library import, and basic AI models.
• Pro: $16/month. Includes advanced AI models, full-paper summaries, saved highlights and explanations, paper chat, and Math Explain for formulas and figures.
• Teams: Custom pricing. Includes Pro features, team management, priority support, and volume discounts.
• Pro Trial: 7-day free trial.
• Money-back guarantee: 14 days for Pro subscriptions.

Review

Explainpaper currently has a 4.0/5 rating on G2 from 1 review. The reviewer praised the platform’s intuitive interface, fast explanations, affordability, and ability to simplify dense technical material. The review sample is very small, so the rating should not be treated as representative of the wider user base.