Read, annotate, and analyze research papers with an AI assistant that provides context-aware answers, side-by-side viewing, and cited responses directly linked to the paper’s content.
Open Paper is an AI-powered reading environment designed to help researchers, students, and professionals understand academic papers more efficiently. It combines a full-text paper viewer with an integrated AI assistant, allowing users to read, annotate, and query complex articles without switching contexts. The primary purpose is to make technical literature more accessible while preserving traceability to original sources.
The tool’s split-pane interface displays the paper alongside an AI chat, enabling seamless paper-chat integration. Every AI response is context-aware, grounded in the uploaded document, and supported by clickable citations that link directly to the relevant sections or pages. Page-specific references ensure that clarifications, summaries, and explanations can be immediately verified in the source text, supporting academic integrity and reducing the risk of misinterpretation. Users can maintain their reading flow while asking detailed questions, exploring methods, or unpacking dense passages without losing their place.
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