SciSpace

Research workspace for reading, explaining and writing about papers

AI Search & KnowledgeFree planOverseasβ˜…β˜…β˜…β˜…β˜† 4.0

What is SciSpace?

SciSpace, previously known as Typeset, is a research workspace built around reading papers. You open a paper and a side panel explains selected text, defines terms, unpacks equations and answers questions about the document. A literature search and a personal library sit alongside the reader, and there are templates and a paraphrasing assistant for drafting. It is a hosted commercial product with a free tier, so the usual caveat applies: explanations are generated summaries, and the original paper remains the authority. Its strongest use is getting through unfamiliar terminology faster.

Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.

Key features

  • PDF reader with an assistant panel that explains selected text
  • Plain-language explanations of jargon, equations and figures
  • Literature search with summaries over published papers
  • Personal library for saved papers and reading notes
  • Paraphrasing and citation support while drafting a section
  • Chrome extension for opening papers from publisher pages

Pros & cons

Strengths

  • Makes unfamiliar terminology readable without leaving the paper
  • Paper search and reading sit together in one workspace
  • The free tier covers light reading and occasional drafting

Watch out for

  • Generated explanations can be wrong on technical detail
  • Free usage limits bite quickly during heavy reading sessions
  • Drafting features are basic next to a dedicated editor

Best for & use cases

reading unfamiliar papers, explaining jargon, literature search and drafting support

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FAQ

Is SciSpace a reference manager?

Partly. It stores saved papers and notes, but citation formatting and library management are simpler than in a dedicated reference manager, so many researchers keep both tools.

How good are the explanations?

Useful for orientation and for unfamiliar jargon, less reliable on subtle technical claims. Check any explanation you plan to rely on against the original text and its equations.

Does it work for any field?

It is strongest in the sciences and engineering where structured papers and equations dominate. Humanities papers, built on long prose arguments, gain less from the reader panel.