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Paperlayer
What it is
Paperlayer is a web reader for research papers that adds AI-generated summaries and contextual notes to public arXiv PDFs. Find a paper by title or author, enter its arXiv ID, or paste an arXiv link. Summaries organize a paper’s problem, method, results, and caveats, with points connected to evidence in the PDF. Readers can mark claims, methods, results, problems, and caveats, then adjust how many highlights appear. Margin notes explain terms, equations, and figures alongside the text. Summaries and notes are available in Korean, Japanese, Chinese, Spanish, French, and German; J and K keys navigate through a paper. The demo is free at no cost, with no purchase or paid subscription currently offered. It covers public arXiv papers and does not accept private or unpublished uploads. Paper chat is marked “Soon.” Paperlayer cautions that its AI output and evidence links may be inaccurate, so readers should check important details in the original paper.
For and against
For
- Summaries cover problems, methods, results, and caveats.
- Highlights link points to evidence in the PDF.
- Notes explain terms, equations, and figures in context.
- Summaries and notes support six listed languages.
- J and K keys navigate papers.
Against
- Private and unpublished uploads are not accepted.
- Paper chat is marked “Soon.”
- AI output and evidence links may be inaccurate.
The verdict
Paperlayer offers a free way to explore public arXiv papers with summaries, notes, and evidence-linked highlights. Readers should verify important details in the source paper, and the public demo cannot handle private or unpublished documents.
Who it suits
Paperlayer suits readers who want guided help navigating public arXiv papers, including summaries, evidence-linked highlights, and contextual notes. It does not suit readers who need to upload private or unpublished documents.
Plans and prices
Public demo
Public arXiv papers · No private or unpublished document uploads · No purchase or paid subscription
Read 9 Oct 2026 · paperlayer.ai
On the record
- AI caveat
- The maker cautions that AI reading aids can be wrong and instructs users to verify important details in the original paper.paperlayer.ai · read 4 Oct 2026
- AI chat
- The homepage labels paper chat as “Soon”; the terms say that if chat is available, it should be used only for questions about public papers.paperlayer.ai · read 9 Oct 2026
- AI limitations
- Paperlayer says AI output and automatically selected evidence may be inaccurate or incorrectly linked, and advises checking important content in the original paper.paperlayer.ai · read 9 Oct 2026
- AI processing and privacy
- For live AI operations, Paperlayer sends public paper and request content to OpenAI over an encrypted connection and says account, cookie, and anonymous identifiers are not included.paperlayer.ai · read 9 Oct 2026
- Current availability
- The terms describe Paperlayer as a public demo with no purchase, paid subscription, or refundable transaction currently offered.paperlayer.ai · read 4 Oct 2026
- Highlights
- Highlights are grouped into claims, methods, results, problems, and caveats, and readers can adjust their density.paperlayer.ai · read 9 Oct 2026
- Integrations
- Paperlayer fetches verified, version-pinned arXiv PDFs from arXiv; Google sign-in is optional for syncing saved papers and reading preferences across devices.paperlayer.ai · read 9 Oct 2026
- Keyboard access
- The reader supports J and K keyboard navigation through a paper.paperlayer.ai · read 4 Oct 2026
- Limits
- The current demo covers public arXiv papers and does not accept private or unpublished document uploads.paperlayer.ai · read 4 Oct 2026
- Margin notes
- Margin notes define terms, explain equations, and describe figures in context beside the paper.paperlayer.ai · read 9 Oct 2026
- Paper discovery
- Readers can search by paper title or author, or paste an arXiv link to open a paper.paperlayer.ai · read 9 Oct 2026
- Planned feature
- Paper chat is labeled “Soon” on the site.paperlayer.ai · read 4 Oct 2026
- Privacy and processing
- For live AI processing, Paperlayer says it sends public paper content and request content to OpenAI over an encrypted connection, without intentionally including account, cookie, or anonymous identifiers.paperlayer.ai · read 4 Oct 2026
- Purpose
- Paperlayer describes itself as an AI reading layer for research papers, with summaries and margin notes linked to supporting passages in the original PDF.paperlayer.ai · read 9 Oct 2026
- Security
- The privacy policy lists HTTPS transport encryption, secure cookie settings, signed anonymous identifiers with secret rotation, access controls, and request-rate limits as safeguards.paperlayer.ai · read 9 Oct 2026
- Summaries
- Summaries cover a paper’s problem, method, results, takeaways, and limitations, with points linked to supporting evidence.paperlayer.ai · read 9 Oct 2026
- Support
- The terms list [email protected] for contact, including privacy requests and questions.paperlayer.ai · read 9 Oct 2026
- Supported content
- The current demo covers public arXiv papers and does not accept private or unpublished document uploads.paperlayer.ai · read 9 Oct 2026
