OpenRead (2022)

The AI Search tool offered here taps into an extensive repository of over 300 million papers, covering a wide spectrum of disciplines. Through semantic search capabilities, users can effortlessly pose inquiries in natural language, swiftly retrieving papers that match the intended meaning of their queries. This tool provides a significant time-saving feature, summarizing the results of semantic searches, reducing the time required for learning new concepts by up to 70%.

Exploration across diverse disciplines is facilitated, boasting 400+ categories spanning 1,052+ journals on OpenRead, with continuous expansion. The Reading & Notes Taking feature streamlines the research process, enabling users to compile insights and construct a personal knowledge bank.

The Paper Espresso function condenses paper content, akin to making an espresso, aiding in a comprehensive understanding of key points. This ability allows researchers to quickly assess a paper's relevance to their work. Additionally, the Paper Q&A feature acts as a personalized tutor, facilitating deep dives into specific papers and saving approximately 20% of users' time by eliminating the need to navigate other platforms.

Visual representations through the Related Paper Graph unveil connections between papers, offering a deeper exploration of knowledge. The Notes Taking aspect allows users to capture insights alongside relevant papers, ensuring seamless integration with their notes. Organizing research and notes becomes intuitive and efficient with OpenRead, consolidating all aspects of research within one platform.