Section-based paper summaries
Breaks papers into labeled sections, including abstract, methods, results, and conclusion, so readers can locate key information within a paper.
AI tools for summarizing, analyzing, and organizing scientific papers for researchers and students.
SciSummary is an AI-powered research tool for reading and managing scientific articles. It turns papers into structured summaries covering sections such as abstracts, methods, results, and conclusions, and supports analysis across multiple documents. Researchers and students can also ask questions about uploaded articles, examine figures and tables, and organize papers in a reference library. Its central purpose is to make academic literature easier to interpret and manage. Use summaries to guide your reading, then verify findings, citations and statistical interpretations against the original papers.
Breaks papers into labeled sections, including abstract, methods, results, and conclusion, so readers can locate key information within a paper.
Summarizes multiple papers together and supports AI-assisted comparison across documents.
Ask questions about uploaded articles to explore their methods, results and other details.
Extracts and analyzes figures and tables, including interpretation of statistical measures such as p-values, confidence intervals, and effect sizes.
Organizes articles with folders, tags, and color coding to help maintain a structured collection.
Generates citations for summarized papers in different formats.
Summarize and compare a set of papers to identify their methods, results, and conclusions while assembling a literature review.
Use sectioned summaries and article questions to clarify a paper's structure and investigate details without relying only on a general-purpose summary.
Analyze a paper's figures and tables when numerical results or statistical measures need additional context.
Group related articles in folders and tag them so papers remain organized as a project develops.
Yes. It supports bulk paper summarization, synthesis across multiple documents, and AI-assisted paper comparison.
Yes. SciSummary provides chat that lets users ask questions directly about uploaded articles.
Yes. Its tools extract and analyze figures and tables, including statistical measures such as p-values, confidence intervals, and effect sizes.
SciSummary provides a REST API, an official CLI, OpenAPI-based SDK generation and an MCP server for AI agents. The REST API and CLI use an API bearer token; the CLI accepts paper URLs and local PDF files.
The displayed yearly Pro plan is $48 billed annually, equivalent to $4 per month. The free trial lasts seven days and has usage limits. The student first-month offer is temporary, rather than an ongoing free plan.
Os dados de tráfego são apenas para referência.