SciSpace
SciSpace is an AI research platform covering 280M+ papers. Search literature, chat with PDFs, extract data, and generate citations in 10,000+ styles.
Reviewed by Mathijs Bronsdijk · Updated Apr 13, 2026
What is SciSpace?
SciSpace is an AI-powered research platform designed for researchers, students, and academics who need to find, analyze, and write about scientific literature. It provides access to a database of over 280 million research papers so users to search using natural language questions rather than keyword strings. Where many tools handle one part of the research workflow, SciSpace covers multiple stages: from discovering relevant papers and reading them to writing drafts and generating citations. The platform is available on web, macOS, and Windows, and also offers a Chrome extension for working with research directly in the browser.
Key Features
- Literature Search and Review: Searches across 280 million papers using natural language queries, returning results in tabular format with filters for PDF availability, journal ranking, TL;DR summaries, methods, abstracts, and limitations.
- Deep Review: Automates mini literature reviews by analyzing thousands of papers and synthesizing findings from the most relevant ones, with one reported example handling 1,750 papers to surface the top 20.
- Chat with PDF: Allows conversational questions about uploaded or library PDFs, returning cited answers alongside explanations of text, equations, and tables. Supports multiple languages and includes note-taking.
- Data Extraction and Comparison: Lets users upload multiple PDFs and extract specific data points (such as conclusions or results) into editable tables with custom AI-generated columns for cross-paper comparison.
- AI Writing Tools: Includes real-time text completion, a paraphraser with 20+ tones, and a citation generator supporting over 10,000 citation styles with automatic reference updates.
- AI Detector: Scans documents or individual sentences to identify AI-generated content and produces detailed reports.
- PDF-to-Video Abstracts: Converts research papers into visual video abstracts for sharing on social platforms.
- Integrations: Connects with Google Drive, OneDrive, and Zotero, and draws from sources including Semantic Scholar and OpenAlex.
Use Cases
- Graduate students writing theses: Students can upload their collected PDFs, generate comparison tables across papers, and use the AI writer with real-time citations to draft sections, reducing the time spent on manual reference management.
- Researchers conducting systematic literature reviews: By querying 280M+ papers in natural language and using Deep Review, researchers can scan large bodies of literature quickly and identify research gaps without relying on keyword-based database searches.
- Academics verifying citations during manuscript preparation: The Chat with PDF feature lets authors ask specific questions about a paper's methods or findings and receive cited answers, helping verify claims before submission.
- Students in exact sciences understanding complex papers: Users can ask SciSpace to explain equations, tables, or dense methodology sections within a PDF, receiving plain-language explanations with source references.
- Research teams managing shared libraries: Through integrations with Zotero, Google Drive, and OneDrive, teams can organize and analyze shared paper collections while using role management tools available on the Teams plan.
Strengths and Weaknesses
Strengths:
- Covers a large paper database (280M+) and returns results in structured, tabular formats that make cross-paper comparison practical.
- Citation management is a consistent highlight in user reviews, with automatic citation generation, article classification, and library building saving significant manual effort.
- Described by users as user-friendly for thesis writing and all-in-one research phases, with clean results compared to general-purpose AI chatbots.
- Strong performance for exact sciences, including recognition of under-researched topics and source links for verification.
- Holds a 4.3/5 rating on Capterra based on reviews from researchers, professors, and students.
Weaknesses:
- Pricing draws frequent complaints, particularly from students who find the ~$20/month cost unaffordable, and the credit system on free and lower tiers is reported to deplete quickly.
- AI outputs sometimes hallucinate references or attribute information to incorrect sources, requiring user verification.
- Service reliability is a reported concern, with crashes and loading errors noted particularly during high-demand periods.
- Export options are limited, and the platform lacks direct integrations with some publishers, which forces users to upload PDFs manually.
Pricing
SciSpace offers a free tier and three paid individual plans, plus a Teams option and Enterprise access. The pricing below reflects annual billing rates where applicable.
- Free: $0/month, 100 credits/month, limited literature review searches, standard model access, limited PDF chats and AI actions.
- Premium: $12/month (billed annually, or $20/month billed monthly), 1,200 monthly credits, unlimited literature review searches, high-quality model access, unlimited exports, Biomedical Agent access, unlimited paper summaries and citation generations.
- Advanced: $70/month (billed annually, listed at $90/month otherwise), 10,000 monthly credits, everything in Premium plus advanced quality model access.
- Max: $160/month (billed annually, listed at $200/month otherwise), 40,000 monthly credits, everything in Advanced plus priority support and priority access to new features.
- Teams: $10, $18/month per user (billed annually), everything in Premium or Advanced, role management and admin tools, dedicated account manager, and priority support.
- Enterprise: Custom pricing, designed for large-scale institutional research needs with advanced collaboration, guaranteed SLAs, and dedicated support.
All plans include a 24-hour money-back guarantee. Students and institutional accounts may qualify for discounts. Pricing may vary by region and billing frequency.
FAQ
What is SciSpace?
SciSpace is an AI-powered research platform that helps researchers, students, and academics search scientific literature, analyze PDFs, generate citations, and write academic content. It indexes over 280 million research papers.
Who makes SciSpace?
SciSpace is the product behind the platform previously known as Typeset. The company's careers page is listed on Wellfound under "typeset," indicating the corporate entity behind the tool.
How many papers does SciSpace cover?
SciSpace indexes over 280 million research papers, drawing from sources including Semantic Scholar and OpenAlex.
Is SciSpace free to use?
Yes, SciSpace has a free tier that provides 100 credits per month with limited literature review searches and standard model access. More advanced features require a paid plan.
How much does SciSpace cost?
The Premium plan starts at $12/month billed annually ($20/month otherwise). Advanced is $70/month annually, Max is $160/month annually, and Teams plans range from $10, $18/month per user. Enterprise pricing is custom.
What is the Chat with PDF feature?
Chat with PDF lets users upload research papers and ask questions in plain language. SciSpace returns cited answers and can explain text, equations, and tables within the document. It also suggests related papers.
What is Deep Review?
Deep Review is an automated feature that analyzes large sets of papers and synthesizes findings from the most relevant ones. One documented example involved processing 1,750 papers to surface the top 20 results.
Can SciSpace generate citations?
Yes. SciSpace includes a citation generator that supports over 10,000 citation styles and updates references automatically when content changes.
Does SciSpace have an AI detector?
Yes. SciSpace includes an AI Detector that scans documents or individual sentences and produces reports identifying AI-generated content.
What integrations does SciSpace support?
SciSpace integrates with Google Drive, OneDrive, and Zotero. It also has a Chrome browser extension and a mobile app.
Is SciSpace reliable?
User reviews are mixed on reliability. The platform holds a 4.3/5 rating on Capterra, with praise for its literature review tools and citation features. However, some users report service crashes during high-demand periods and occasional AI hallucinations in outputs.
What are the main complaints about SciSpace?
Common complaints include the cost (particularly for students), the credit system depleting quickly on lower tiers, occasional AI errors or hallucinated references, limited export options, and customer support response times.
Who is SciSpace best suited for?
SciSpace is built for academic users including graduate students, researchers conducting literature reviews, and academics preparing manuscripts. It is described as particularly effective for exact sciences.
How does SciSpace compare to a general AI chatbot?
Unlike general AI chatbots, SciSpace grounds its answers in a database of over 280 million papers and returns cited responses with source links, reducing (though not eliminating) the risk of fabricated information.
What are some alternatives to SciSpace?
The dossier does not list specific named competitors. For alternatives, searching AgentsIndex for AI research tools or academic paper analysis platforms will surface comparable options.