Paperlayer

What Paperlayer is

Paperlayer is a web-based AI reading aid for research papers, placing summaries and margin notes alongside a paper with links to evidence in its original PDF. Readers can find public arXiv papers by title or author, enter an arXiv ID, or paste a link. Summaries address a paper's problem, method, results, and caveats. The reader highlights claims, methods, results, problems, and caveats, with a setting to adjust highlight density. Margin notes explain terms, equations, and figures in context. Summaries and notes are available in Korean, Japanese, Chinese, Spanish, French, and German; J and K keys navigate through a paper. Paper chat is marked “Soon.” The current public demo does not accept private or unpublished document uploads, and no purchase or paid subscription is offered. Paperlayer cautions that AI output and evidence links may be inaccurate, so important details should be checked against the paper. For live AI processing, it says public paper and request content are sent to OpenAI over an encrypted connection without intentionally including account, cookie, or anonymous identifiers.