This SciSpace alternative is for students and researchers who like reading papers with an AI assistant but need more than reading. AI for Research lets you ask your PDFs questions with page citations, then search 250M+ works with study-type filters, run Deep Research, share a project with a supervisor and get a scored review of your draft.
What SciSpace is best at
SciSpace is at its best when you have a paper open and don't fully understand it. Its PDF assistant explains highlighted passages, equations and tables and answers follow-up questions with references to the text; library reviewers single it out as its most useful feature [2]. Around that sit a literature review table you can filter and export, an Extract Data tool that pulls fields such as method and sample from several PDFs into a grid, a Deep Review mode, an Agent for multi-step tasks, a citation generator and writing tools [1][2] . For a first-year PhD student reading outside their field, that is a real time saver. If explaining hard papers is your main job, SciSpace is a good fit.
A note on sources: SciSpace's own pages refused automated access when we checked in November 2026 [3]. Facts about it below come from dated independent reviews and are marked for checking. See our SciSpace review for more.
Where AI for Research differs
Both products let you chat with a PDF and search papers. The differences are in what surrounds the reading.
- Questions to your PDFs, with page citations. In My Library, ask a question of one PDF; the answer cites the page. Each question costs 1 credit; storing and organizing in folders is free.
- Filtered search across sources. Find Papers searches All papers, Medical (PubMed, Europe PMC), Preprints (arXiv, bioRxiv, medRxiv), Web and your Library, with filters for year, study type, journal quality tier, citations, open access and peer-reviewed only. Retracted papers are left out by default. It costs 0 credits.
- Projects shared with a supervisor. A project is a folder for a thesis or review, shared by email as can edit, can comment or can view.
- A Reviewer for the whole draft. Upload a thesis, proposal or manuscript, choose a level (undergraduate, honours, master's, PhD), and get each criterion scored out of 10 with comments that quote the passage and suggest a fix. Standard costs 10 credits per 10,000 words; on the free plan, a preview of the first 3,000 words costs 3 credits.
- Credits shown before each job. Every start button shows the cost, and a failed job is refunded.
SciSpace vs AI for Research: comparison table
Checked November 2026. SciSpace figures come from independent reviews because its site refused automated access; confirm them on scispace.com before you buy.
| SciSpace | AI for Research | |
|---|---|---|
| Best at | Explaining passages, tables and equations in one paper [2] | Reading, then searching, reviewing and writing in one project |
| Index | About 280M papers [1] | 250M+ scholarly works |
| Chat with PDF | Yes, the Copilot assistant [1][2] | Yes, answers cite the page (1 credit a question) |
| Compare studies in a table | Literature review table and Extract Data [1] | Extraction table in a Systematic Review project: 9 standard columns plus custom ones; AI fills from abstracts with quotes (3 credits per 10 studies) |
| Long report | Deep Review and Agent [1] | Deep Research: Deep 15 credits, Detailed 45 (paid plans) |
| Review of your own draft | Not described in the reviews checked | Reviewer: scores out of 10 per criterion, quoted comments |
| Sharing | Not checked | Projects shared as can edit, can comment or can view |
| Citation styles | 9,000+ [1] | 10,000+ |
| Free plan | Basic, 100 Agent credits a month [1] | 45 credits a month, 25 PDFs, unlimited paper search |
| Entry paid plan | Premium about $12/month billed annually, $20 monthly [1] | Plus $12/month or $96/year, 750 credits, unlimited PDFs |
Which should you pick for which job?
Pick SciSpace to understand a hard paper; pick AI for Research when the reading has to become a cited, reviewed document.
| Your job | Better fit | Why |
|---|---|---|
| Explain this regression table in plain words | SciSpace | Built around explanations beside the text |
| Ask ten PDFs the same question and cite the pages | Either | Both answer from your files; here each answer cites the page |
| Find only systematic reviews from the last five years | AI for Research | Study-type and year filters, 0 credits |
| A cited answer across many studies | AI for Research | Deep Research with a consensus line counted from per-study labels |
| Get a scored review of your thesis chapter | AI for Research | Reviewer, with a 3-credit, 3,000-word preview on the free plan |
| An extraction grid for screening hundreds of papers | Elicit, or a Systematic Review project here | See our Elicit comparison |
How to use SciSpace and AI for Research together
- Read in SciSpace. Use its assistant to understand the two or three hardest papers in your topic.
- Export the references. SciSpace exports BibTeX and RIS [1].
- Build your Library here. Upload the PDFs to My Library and sort them into folders, or upload the RIS file into a Systematic Review project.
- Ask across the set. In the Ask box, set sources to My Library and run a Summary (1 credit) or Deep report (15 credits) on your question. Open the Cited tab to see which papers support each point.
- Write and review. Click Open in editor, draft with cited autocomplete, then send the chapter to the Reviewer for scores and quoted comments.
A worked example
Example (invented, for illustration). A PhD student in education has 18 PDFs on reading interventions. She uses SciSpace to understand one dense multilevel model. Then she uploads all 18 to My Library on the Plus plan and asks each one "What was the whole-sample effect size?", 18 questions at 1 credit each. One answer points to page 9, where the paper reports 0.21 for the whole sample and 0.45 for a subgroup; she records 0.21. She drafts her review section in the editor and runs the Reviewer at PhD level on 8,000 words: 10 credits. Total: 28 of her 750 monthly credits.
What AI for Research does not do
- No browser extension or Word add-in. You work in the web app and export to Word, PDF or LaTeX (LaTeX on paid plans).
- Scanned PDFs need OCR first. Text-less scans cannot be read.
- Abstracts when no open full text exists. Deep Research reads open full texts found through Unpaywall, otherwise abstracts.
- No Google Scholar search. Search it through your library and save what you find.
- The free plan holds 25 PDFs, 10 MB each, and has one project. Plus raises PDFs to unlimited at up to 50 MB.
What it costs
Free: 45 credits a month, 25 PDFs, 1 project. Plus: $12 a month or $96 a year for 750 credits, unlimited PDFs, 10 projects. Pro: $29 a month or $228 a year for 1,500 credits, High quality mode and unlimited projects. A PDF question costs 1 credit, a Deep report 15, a Standard review 10 per 10,000 words; search, citations and the Library cost 0. See pricing.
Who it is for
PhD students reading across fields and writing chapters, see AI tools for PhD students. Undergraduates who need papers explained and cited, see AI for college students.
Learn more
- SciSpace: an honest look for students and researchers
- Chat with PDF
- How to organize research papers
- The best AI for deep research
Also compare: Perplexity for research and ChatGPT deep research alternatives.
Sources
- Educators Technology. SciSpace review (last updated 27 September 2026). https://www.educatorstechnology.com/2026/09/scispace-review.html (checked November 2026; independent review, not a vendor page)
- Giustini, D. SciSpace. UBC Wiki (updated 8 June 2026). https://wiki.ubc.ca/SciSpace (checked November 2026; library guide, not a vendor page)
- SciSpace. Homepage and pricing. https://scispace.com/ and https://scispace.com/pricing (checked November 2026; both refused automated access, figures not confirmed there)
Last updated 2026-11-12