SciSpace
Highlight a sentence; get an explanation. Ask a question; get an answer grounded in the paper.
Your professor assigned a 28-page paper with four equations, two experimental protocols, and a paragraph of statistics that reads like a different language. You need to understand it for Thursday's seminar discussion. You also need to eat, sleep, and finish other classes. Traditional approach: three hours with a dictionary of terms. Modern approach: three hours with SciSpace, reading two to three times deeper, in about a third of the time.
Why this tool matters
SciSpace (formerly Typeset) is an AI reading assistant built specifically for academic papers. You upload a PDF (or search its 270+ million-paper library); SciSpace opens it in an enhanced reader with an AI copilot pane alongside. Highlight any sentence or paragraph and SciSpace explains it in plain English, grounded in the paper's context. Ask follow-up questions and it answers from the paper itself, not from general web knowledge.
Three features matter most for student use. First, the explain highlighted text feature — you never have to open a separate search tab to look up a term, because a one-click explanation appears inline. Second, the ask a question feature, where SciSpace answers “what methodology did the authors use?” or “what were the main findings?” with paragraph-level citations back to the source. Third, the find related papers feature, which suggests other papers on the same topic with links — particularly useful when a single paper becomes the entry point to a whole subfield.
SciSpace is complementary to Elicit (Day 3 in Week 1). Elicit is the tool for searching across many papers; SciSpace is the tool for reading one paper deeply. Serious academic work uses both — Elicit to build your reading list and extract high-level data, SciSpace to actually understand each paper once it's on your desk.
Setup
Account: scispace.com free tier allows limited uploads and copilot interactions per month — enough for one serious reading session per week. Premium ($12/mo annualized) removes limits and unlocks deeper features (full-text search across all your uploaded papers, longer conversations, faster processing).
Source material: SciSpace works on PDF uploads, papers from its library (search by title or DOI), and arXiv/ssrn/PubMed links. It works best on papers with clean typesetting; scanned-image PDFs need to be OCR'd first.
Walkthrough
Step 1: Upload or search for a paper
At scispace.com, upload the PDF of a paper assigned in one of your classes, or search the library by title. SciSpace opens the paper in a two-pane reader: the paper on the left, the AI copilot on the right.
Step 2: Get the copilot's overview
In the copilot pane, ask: “In 200 words, what is this paper about and why does it matter?” The answer is grounded in the paper's abstract and introduction. This orientation makes the rest of your reading substantially more productive.
Step 3: Highlight to explain
As you read, highlight sentences that confuse you. SciSpace offers Explain in the highlight menu. Click. The copilot explains the highlighted text in context — referencing what came before, defining jargon, unpacking equations. This is the feature you'll use most.
Step 4: Ask structured questions
Use the copilot to ask the questions your professor will expect you to answer in discussion: “What methodology did they use? What were the main findings? What are the key limitations the authors acknowledge? What questions does this paper leave unanswered?” Each answer cites paragraphs you can verify yourself.
Step 5: Use Find Related Papers
Click Related Papers in the copilot. SciSpace suggests 5–10 papers on similar topics with brief descriptions. For a research paper or thesis, this is how you build a literature map from a single entry point. Open 2–3 of the suggested papers and repeat the process.
Step 6: Take your own structured notes
After finishing, write your own 200-word summary of the paper — without looking at SciSpace's explanations. Then compare. Where did your version and SciSpace's diverge? Those divergences are where your understanding is still forming. The act of writing your own summary is what moves knowledge from “I read that” to “I know that.”
Your turn
Basic: Read one assigned paper with SciSpace
Pick one paper assigned in a current class. Upload to SciSpace. Use the copilot for overview, inline explanations, and the standard seminar questions (methodology, findings, limitations). Finish by writing your own 200-word summary from memory.
Bring the summary to class discussion. Notice: did you understand the paper more deeply than usual? Did you contribute more confidently? That's the change SciSpace can make to your semester.
Advanced: Build a literature-review notebook
Pick a research question you genuinely care about — a thesis topic, a term paper, a topic you're considering for graduate school. Spend a week building a proper literature-review notebook:
- Use Elicit (Day 3) to find 10–15 relevant papers.
- Upload each to SciSpace.
- For each paper, run your standard question set (overview, methodology, findings, limitations) and copy the grounded answers into a Notion or Google Docs notebook, with the citation from QuillBot's (Day 27) Citation Generator.
- After all 10–15 papers are processed, read your own notebook end-to-end and write a 500-word synthesis: what does the literature actually say about your question? where do studies converge? where do they disagree? what's missing?
You now have the skeleton of a real literature review — produced in a week rather than a month, and built on primary sources you have genuinely read. This is the workflow that separates students who thrive in research from students who struggle.
Pitfalls and pro tips
It explains, it does not interpret. SciSpace can tell you what a paper says; it cannot tell you whether the paper's argument is sound. Critical evaluation — “is this methodology appropriate? Are the authors over-claiming? Is the sample biased?” — is still your job. Do not mistake comprehension for critique.
Paragraph-level citations can be misleading. SciSpace links to the paragraph it derived an answer from; occasionally it mis-attributes an idea the paper cites from elsewhere as if it were the paper's own claim. For any citation you will use in your own writing, trace it back to the primary source.
Not a substitute for close reading on seminal papers. For the 2–3 papers that will actually define your thinking — your thesis's foundational references, a field's landmark study — read them yourself, line by line, with SciSpace as a jargon-dictionary rather than as the primary reading surface. Depth of engagement matters more than efficiency on papers that shape your intellectual life.
How it compares
SciSpace's closest competitors are Elicit (Day 3; structured extraction across many papers, weaker single-paper deep reading), Consensus (Day 4; yes/no empirical questions across the literature), ResearchRabbit (discovery and citation-graph navigation, less in-depth reading), Explainpaper (simpler interface, less integrated feature set), and ChatPDF (general- purpose PDF chat, lacks academic-paper features like related-papers discovery). For reading one paper deeply with AI support, SciSpace is currently the strongest; for structured cross-paper work, Elicit remains better.
When to use — and when not to
Use SciSpace when you have been assigned a difficult academic paper and want to understand it more deeply in less time. Also ideal for building a literature review, exploring a new subfield, or preparing for seminar discussions where you need to say something substantive.
Do not use SciSpace when the paper is one you should be reading closely as a learning exercise in critical reading itself (some seminars exist to teach you that skill; AI shortcuts defeat the purpose), or when you need to cite exact wording from the source (always verify against the original PDF, not the copilot's paraphrase).