SciSpace
AI research assistant for reading and explaining papers
An end-to-end AI research workspace that simplifies reading complex papers, explains math and tables, and assists scientific writing and citation styling.
SciSpace (formerly Typeset) transforms the grueling process of reading, understanding, and writing scientific research. Its flagship feature is an interactive PDF Copilot: when reading a dense academic paper, researchers can highlight confusing paragraphs, mathematical formulas, or complex data tables, and the AI provides clear, contextual explanations in plain language.
The platform also acts as a literature discovery engine across a database of over 280 million papers. Researchers can generate Literature Matrix tables that extract methodology, sample sizes, and key conclusions side-by-side across multiple studies, drastically reducing the manual effort of literature reviews.
For graduate students, interdisciplinary researchers, and scientists, SciSpace lowers the barrier to understanding dense literature outside one’s core domain while streamlining the path from reading to publication.
Features
Interactive PDF Copilot
Highlight dense text, math equations, or data tables to receive plain English explanations.
280M+ Paper Literature Search
Search across hundreds of millions of scientific papers with automatic insight summaries.
Literature Matrix Generator
Compares findings, methods, and conclusions across multiple uploaded papers in tabular format.
Citation & Journal Formatter
Auto-formats references across thousands of journal styles including APA, IEEE, and Nature.
Use cases
- Demystifying complex mathematical formulas and statistical tables in research papers
- Conducting rapid literature reviews and synthesizing common findings across studies
- Finding relevant academic papers and related research clusters quickly
- Formatting scientific manuscripts for journal submission without reference headache
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