AI research paper summarizer
Summarise an academic paper's approach and results, or get a critical review of its rigour with a letter grade.
Your key stays in your browser.It goes straight to the provider, never to our servers, and we neither log nor keep it. Use a dedicated key with a spending cap, and delete it in the provider's dashboard when you are done.
Input
Result
The result will appear here.Two modes for reading papers faster. Summary follows Fabric's summarize_paper pattern: title and authors, main goal, technical approach, what is distinctive, experimental setup and results, advantages and limitations, conclusion — the questions you ask when deciding whether a paper deserves a full read. Critical review follows analyze_paper: findings, study design, sample size, confidence intervals, p-values, effect size, reproducibility, conflicts of interest, 1–10 ratings for novelty, rigour and empiricism, and an A–F grade. Paste the text of an arXiv paper or only its abstract, and read the result in English, Chinese or another language.
How it works
- When a paper does not report a statistic, the review says "Not reported in the provided text" instead of filling in a plausible number — a common failure of AI paper tools.
- Paste only the abstract and the model says so at the top, keeping its judgements to what an abstract can support.
- The grading rules are Fabric's: weak methodology transparency lowers the rigour score, and conflicts of interest can cost up to three grades.
- The paper text goes from your browser to the provider behind your key, so an unpublished manuscript never touches our servers.
Where your data goes
With your own key, what you type and the key go from your browser straight to the provider you choose; neither passes through Hysen Labs. In hosted mode, your text goes through our server to our provider (DeepSeek) and is billed in credits; we keep the token counts and cost of each run for billing, never the text itself or the answer. How the provider handles the text is governed by its own privacy policy.
This tool handles keys and credentials, so nothing about a run is saved, not even to your own history.
About your API key
We do not collect, store or leak your key: it lives only in this page's memory (unless you tick “remember in this tab”) and is gone when you close it. Still, treat any key you have pasted into a web page with care — create a dedicated key with a spending cap for use here, and delete or rotate it in your provider's dashboard when you are done.
What it costs
This tool is free, with no sign-in and no points.
Common questions
- How do I get the text out of a PDF?
- Use a PDF-to-text tool — there is one among the PDF tools on this site — or copy from the paper's HTML version, which arXiv offers for many recent papers and which copies more cleanly. Equations and tables may lose formatting, which the model can usually still read; figures are lost, so results shown only in a chart will be missing.
- Is the letter grade reliable?
- Treat it as a structured first opinion, not peer review. The model can only weigh what is in the text: it cannot check the data or rerun the analysis, and it may miss field-specific problems an expert would spot. Its value is in forcing the questions — sample size, effect size, conflicts of interest — that a quick read skips.
- Will a whole paper fit?
- A typical 10–20 page paper is roughly 6,000–15,000 words, which fits the context window of most current models. A thesis may not; drop the reference list and appendices first, which also saves tokens without losing anything the review uses.
- What does a run cost, and which key should I use?
- You pay your provider for the paper's tokens plus the answer — a full paper is some 10,000–20,000 input tokens. Use a key you created for these tools, with a hard monthly limit, and revoke it when the reading session is over; the key goes only to that provider, never to us.
The open-source behind it
This tool's prompt is adapted from danielmiessler/Fabric (MIT) and runs on the model you choose. To use the same capability from the command line or inside your own program, start with that project.
danielmiessler/FabricAlso known as
- paper summarizer
- research paper summary ai
- summarize arxiv paper
- academic paper analysis
- paper reading assistant
- ai literature review