The AI-powered
article summarizer

Scholarcy Summarizer

Scholarcy API

We have a hard limit of 400 pages per document. We generally don't support processing an entire book - it is much better to split a book into chapters and upload each chapter separately. This also makes sense from a reading perspective - each chapter will have its own themes and topics.
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To extract the references, Scholarcy usually needs access to the full text of the article or chapter, unless the publisher has made the references openly available with the abstract. Otherwise, the article/chapter needs to be open access, or you need to upload the PDF directly, if you have legitimate access to it. Reference extraction is available within the Chrome Extension, if you are logged into your Scholarcy account, or within Scholarcy Library. Within the summary flashcard for the article, click the Download button in the References tab to download them as either a RIS or BibTeX. In Scholarcy Library, you can also export the references in bulk from a collection of articles.    

Image/figure extraction is disabled by default both in the Chrome Extension and Scholarcy Library web app. You can enable it in the Chrome Extension by choosing Options, and in the Library by choosing Settings, select the Import tab, and then sliding the Extract figures slider to the right.

You can! We have a suite of cloud-based or on-premises APIs, and are happy to work with other companies who would like to use our technology in their products and services. For example, Scholarcy is probably the only tool out there that can
  • extract references accurately from any PDF or Word document, in any referencing style, link them to Google Scholar, and convert them to XML, so you can easily reformat them into your own house style.
  • extract metadata from manuscripts to pre-populate author submission and peer review systems
  • extract key findings and highlights to improve discoverability and SEO
  • generate lay summaries for a non-expert audience
  • extract key terms, glossaries, facts, statistics and claims from documents of almost any size (hundreds of pages or more)
Most of the time taken is loading the PDF or Word document from the server where it resides, or uploading the document from your computer. If you are using the Scholarcy Web Library, and are uploading a large document with a slow internet connection, it may take a minute or two before the summary card appears in your library. Once it has the PDF, Scholarcy takes around 5-20 seconds to turn the PDF into data. However, some PDFs that live on a slow server, or contain many images, may take more time to process. If you don't require figure extraction:
  • If using the Chrome Extension, right-click on the Scholarcy icon in the Chrome toolbar (or via chrome://extensions/, choose Options, and uncheck 'Extract figures'.
  • If using the Library app, choose Settings and uncheck 'Extract figures'
It's also possible that the user interface hasn't automatically refreshed, so you can reload the page and the summary card should then appear in your library.
Scholarcy is a service that uses machine learning and artificial intelligence (AI) to read and condense academic papers into referenced summaries. Either upload your PDFs to Scholarcy, or give Scholarcy the public URL of a PDF and it will read the paper, break it down into readable chunks, and summarise it automatically. It will also read the bibliography and generate a link for each reference so that you can download cited papers. Scholarcy only works with public-access PDF URLs that are covered by relevant Creative Commons licences such as the Attribution ShareAlike and Public Domain licenses, as used by repositories such as arXiv.org and BMC. You must have lawful, legitimate access to any PDF that you upload. Please see our Terms of Service.