Explainpaper vs Humata

Explainpaper is a web-based AI reader for research papers. Readers highlight confusing passages to get explanations with adjustable complexity, support for more than 50 languages, and context from the full paper. Paper chat answers questions using the paper’s content, allows follow-ups, and can summarize findings; answers can cite sections so readers can locate relevant material. The product also generates outlines, extracts key points, and shows relationships between concepts. Its free plan is available indefinitely and includes unlimited highlight explanations, follow-up questions, Zotero library import, and basic AI models. Pro costs $16 a month and adds Math Explain for formulas and figures, advanced AI models, whole-paper summaries, saved highlights and explanations, and paper questions. The Pro trial lasts seven days and requires a card. Explainpaper says subscriptions are billed monthly or annually according to the selected plan and payments are processed through Stripe. The product describes its audience as researchers.

Humata is a document question-and-answer service for finding information across uploaded files. Ask questions about document contents, search for answers, summarize findings, or compare documents; responses include citations that link to relevant sections in source files. Users can also embed Humata’s PDF AI in a webpage, while its API provides programmatic access to documents, conversations, and answers. The product is available on the web and through an API, with file uploads supported. The Free plan costs nothing and includes one user and up to 60 pages of monthly use. Expert costs $999 a month for three users and 500 pages, with $0.02 per additional page. Team costs $49 a month per user for 10 users and 5,000 pages, with $0.01 per additional page. Humata supports SAML 2.0 sign-on and states that it encrypts customer data at rest and in transit, is SOC 2 Type II compliant, and does not use user-provided data to train its models.