Paperlayer vs SciSummary

Paperlayer is a web-based AI reading layer for research papers, pairing summaries and contextual margin notes with evidence in the original PDF. You can find public arXiv papers by title or author, enter an arXiv ID or paste an arXiv link. Summaries cover the paper’s problem, method, results and caveats, while highlights mark claims, methods, results, problems and caveats with adjustable density. Margin notes explain terms, equations and figures beside the text. Summaries and notes support Korean, Japanese, Chinese, Spanish, French and German, and J and K keys navigate through a paper. Paper chat is marked “Soon.” The public demo covers public arXiv papers only and accepts no private or unpublished uploads. Paperlayer says live processing sends paper and request content to OpenAI over encryption without intentionally including account, cookie or anonymous identifiers.

SciSummary uses AI to help scientists, researchers, and students understand scientific papers through summaries, analysis, and extracted insights. Summaries are organized into abstract, methods, results, and conclusion sections. It can combine multiple papers into one summary and compare them, while folders and tags organize a research library. Figure chat interprets p-values, confidence intervals, and effect sizes. The service extracts abstracts, figures, and references and highlights key findings. Its web and API access includes a bulk API accepting PDFs, links, or full text, with hundreds of documents supported in one request. A REST API includes an official CLI and generated SDK clients from its OpenAPI specification. An MCP server connects with Claude Desktop and ChatGPT. SciSummary also summarizes webpages and accepts file uploads. Pricing is paid, starting at $4/mo (annual), with a 7-day trial and no standard free plan.