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SciSpace, formerly known as Typeset, is an AI research workspace whose best-known feature lets you chat with any research PDF. Upload a paper and ask questions about it in plain language: what the method was, what a result means, or what a formula represents. Its copilot answers with reference to the document, which makes dense papers faster to understand, especially when you are reading outside your own specialism or working through a long reading list.
SciSpace has grown beyond a single PDF chat into a broader research workspace. It covers literature search across papers, extraction of information from multiple papers, systematic review support, paraphrasing and citation tools, and an AI writer for drafting. The unifying idea is that research work happens in one place: find papers, understand them, compare them and draft from them, without juggling five separate tools. That breadth is attractive, but it also means the credit-based pricing needs careful reading.
The chat-with-PDF copilot is the core experience. You can ask follow-up questions, request explanations of specific sections, formulas or tables, and get definitions of technical terms in context. SciSpace also finds related papers, so one useful paper leads to others, and its literature review tools can compare papers and extract structured information across them. For writing, it offers paraphrasing, citation formatting and drafting assistance, aimed at academic and technical documents.
Under the hood, SciSpace now uses an agent model with monthly credits. Different tasks consume credits at different rates, and plans differ in how many credits they include and how many agent tasks can run in parallel. Standalone tools outside the agent may not consume credits, but they carry their own limits, so the real cost of a workflow depends on which features you actually use. The free Basic tier is a genuine trial of the experience, but its credit allowance is small for sustained research.
SciSpace offers a free Basic tier with 100 monthly credits, and paid individual plans. Listings checked on 31 October 2026 consistently report Premium at $12 per month billed annually, or $20 billed monthly, with 1,200 monthly credits; Advanced at $70 billed annually, or $90 monthly, with 10,000 credits; and Max at $160 billed annually, or $200 monthly, with 40,000 credits. Team and Enterprise options are also available. Sources: scispace.com pricing via educatorstechnology.com and anygen.io, checked 31 October 2026.
Chat answers about a PDF can be wrong, and they can sound confident while being wrong, which is the main risk. A copilot summary of a method or result should be checked against the paper itself before it enters your own writing, especially for statistics, sample details and limitations. Credit consumption is the second limit: a few heavy agent tasks can eat a monthly allowance faster than expected, and unused credits expire at the end of the cycle.
The jump from Premium to Advanced is also steep, so many users will find Premium enough for reading and light review work but insufficient for large systematic reviews. SciSpace’s publishing and formatting services are separate from its research agent plans, so check you are on the right pricing page before subscribing. For casual readers, the free tier is enough to test the copilot; for a thesis or review, budget for at least Premium and track credit use in the first month.
Start on the free tier with a paper you already know well, so you can judge whether the copilot’s answers are accurate. Ask specific questions about one section at a time rather than requesting a whole-paper summary, and verify any number or claim it gives against the PDF. Track your credit balance after your first week of real use, and only upgrade when you know which plan covers your pattern. Keep your own notes outside the tool, so your understanding does not live only in chat history.
For structured extraction tables, Elicit is the specialist, while Scite verifies how papers have been cited. For concise structured summaries, Scholarcy gives flashcards per paper, and for evidence questions, Consensus synthesises peer-reviewed findings.
Looking for more options? Browse our full AI writing tools directory, or compare SciSpace with the alternatives linked above.
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