SciSpace

• AI-powered literature search across millions of academic papers
• Upload PDF research papers and ask questions in natural language
• Instant summaries of complex articles, tables, and equations
• Citation and reference management with export options
• Writing assistance for drafting sections of research papers
• Interactive reading: highlight text and get instant explanations
• Support for multiple languages and multilingual document understanding
• Format conversion and compatibility with journal submission templates
• Collaboration and sharing tools for research teams and groups
• API or integration options for embedding research workflows

SciSpace is an advanced AI research platform designed to accelerate and simplify academic work. It allows users to tap into a vast database of research literature—encompassing hundreds of millions of papers—and to explore, understand and write about them more efficiently. Through intelligent search, SciSpace surfaces the most relevant studies and automatically extracts key insights, enabling researchers to bypass tedious manual screening. Users can upload full-text PDF articles and pose natural-language questions about their contents: what a table means, how an equation fits in, or what the implications are. The platform generates concise summaries of dense content, breaks down technical jargon and highlights important findings, making it easier for students and researchers to grasp complex material swiftly. On the writing side SciSpace offers drafting tools that guide the creation of literature reviews, methodology sections and discussion components, while helping manage citations and formatting for journal submission. With multilingual support, researchers working across languages can benefit from ready access to global publications. A freemium model gives access to core functionality at no cost, while paid plans unlock enhanced features such as unlimited uploads, deeper AI-agent support and collaboration tools. In sum, SciSpace is geared toward anyone engaged in research or academic writing: it streamlines the workflow from discovery to comprehension to composition, saving time and raising the quality of output.