SciSpace
Explains academic papers in plain language, answers questions about what you're reading, and searches across more than 280 million papers for related work.
What you'd use it for
Reading an academic paper you don't have the background for, by asking it questions instead of hunting through the text yourself.
- Ask what a term, method or result in a paper means and get an answer tied to the exact passage
- Search a citation graph of more than 280 million papers to surface related work you didn't know to look for
- Run a literature review across multiple papers in one workspace
- Paraphrase or simplify a dense passage into plainer language
The verdict
SciSpace earns its place on the specific job of reading a paper you don't have the background for — the chat-over-PDF interface answers from inside the document instead of sending you back to a search engine, and the free tier is generous enough to test that on a handful of papers before paying. The citation graph is a genuine edge over a general chatbot when the job is finding related work, not just explaining the one in front of you. Where it costs you is the credit meter: every question, summary and paraphrase draws from the same pool, so a real literature review can chew through Premium's monthly allowance fast enough to push heavy users onto the $90/month Advanced tier. It suits someone reading papers every week, not someone who wants a general research assistant.
What it costs
| Tier | Price | For | Includes |
|---|---|---|---|
| Free | $0 | Reading the occasional paper and testing whether the explanations are useful. | Limited AI credits for explaining and querying papers. |
| Premium | $20/month billed monthly, $12/month billed annually (40% off) | Students and researchers reading papers regularly. | 1,200 AI credits per month and 4 concurrent chat threads. |
| Advanced | $90/month billed monthly, $70/month billed annually (22% off) | Heavy users — literature reviews, labs, anyone running through credits fast on Premium. | 10,000 AI credits per month and 8 concurrent chat threads. |
Read from SciSpace's own pricing page on 25 Sep 2026. Vendors change prices without notice.
What you need to start
- An email address or Google account to sign up
- A PDF of the paper you want it to read
A few minutes to a working free account; the first explained passage follows within about five minutes of uploading a PDF.
Your first run Sign up with an email or Google account, no credit card, upload a PDF, and ask it a question about the paper — the first passage-linked answer comes back within a few minutes of creating the account.
Where it breaks
Prices weren't shown in the rendered pricing page text — they're carried in an embedded Next.js data blob rather than visible markup, and only individual plans are covered here. A Teams tier exists with its own metered pricing that wasn't fully resolved.
Web app; also offers a Teams plan for shared workspaces, priced separately from the individual tiers above.
First entry in this reference. There is no previous check to compare it against.
When not to use it
Not for a business operator without an academic paper to read — the whole value sits inside primary-literature PDFs, so there's nothing here for market research, contracts, or general business reading. Also not for someone who wants a general-purpose research assistant: it explains and searches papers, it doesn't write your report for you.
SciSpace is built around a specific moment of friction: you’ve found the paper, but the paper is written for people who already know the field. Its core feature is a chat interface layered over the PDF — ask what a term means, what a result actually implies, or how this paper relates to others, and it answers from inside the document rather than sending you off to search.
The free tier is a genuine trial rather than a bait plan — enough AI credits to see whether the explanations are useful before paying for volume. Premium’s 1,200 monthly credits and four concurrent chat threads suit a student or single researcher; Advanced’s 10,000 credits and eight threads are built for people running a literature review or a lab that goes through papers fast.
What “credits” actually gate
Every AI interaction — asking a question, requesting an explanation, running the paraphraser — draws down the monthly credit pool, so the real constraint on a plan isn’t papers read, it’s questions asked. A slow, careful reader on Premium might never hit 1,200; someone running SciSpace as a research assistant across dozens of papers a week will.
Where it sits
Against a general-purpose assistant like ChatGPT or Claude, SciSpace’s edge is the citation graph underneath it — 280 million indexed papers means it can surface related work you didn’t know to search for, not just explain the one you uploaded. If your job is finding papers rather than reading a specific one, that search layer is the reason to pick this over a general chatbot.
Alternatives
AskYourPDF
Chat with a PDF in a browser tab, or inside ChatGPT via a plugin, and get answers with citations back to the source page.
Documents & filesAppsHumata
Upload a stack of PDFs and ask questions across all of them at once, with answers that cite the page they came from.
Assistants & chatAppsNotebookLM
Upload your own documents and ask questions answered only from them, with citations back to the exact passage, plus generated audio summaries of the material.
Get SciSpace
Buying the tool is not the hard part.
The ebook is about what to hand over, in what order, and how you find out when it goes wrong. One payment, no subscription.