Description
ScholarAI is an AI research assistant built for students, researchers, developers, and clinical teams. It helps you summarize academic papers, generate citations, and create study guides, positioning itself as an all-in-one tool for working through scholarly literature faster.
For developers, ScholarAI offers an API with documentation covering access, features, prompts for agents, and known limitations. Its search endpoint scans a vector database via hybrid search, backfills real-time open-access data, and can optionally pass discovered data into an LLM to synthesize answers, so it can be used both by AI agents and by developers building on top of it. The team also runs the ScholarAI Founders Pod, a podcast on AI, startups, and technology.
Because the crawl provides limited product detail, this listing focuses on the capabilities stated on the site. ScholarAI is aimed at students, researchers, developers, and life-sciences teams who need to research, summarize, and cite academic work more efficiently.
ScholarAI's Core Features
Summarization of academic papers
Citation generation
Study guide creation
Developer API with documentation
Hybrid search over a vector database with real-time open-access backfill
Usable by both AI agents and developers
How to use ScholarAI?
Choose how to use it: work through the assistant or integrate via the API.
Search for papers: query the research database to find relevant literature.
Summarize and cite: generate summaries, citations, and study guides.
Build with the API: developers can follow the docs to integrate ScholarAI tools.
ScholarAI's Use Cases
- Literature review
- Citation generation
- Study guides
- Developer integration
