khoj-ai/openpaper

Open Paper is a workbench for managing your research library. Read, annotate, and understand your papers all in one place. Use an AI assistant to conduct your literature review.

What it solves

Open Paper addresses the friction of reading research papers, specifically the constant context switching required to look up terms, track references, and manage notes across multiple documents. It provides a unified workspace to reduce these distractions and maintain reading flow.

How it works

Users upload PDF research papers into a project-based workspace. The system integrates an AI assistant that provides AI-generated briefs and answers questions using contextual citations that link directly to the source text. It combines PDF annotation tools with a markdown note-taking system and allows for cross-paper synthesis of information. For data extraction, it uses data tables with custom schemas to pull specific fields from multiple papers into a CSV export.

Who it’s for

Researchers, students, and academics who need to read, annotate, and synthesize information from a large volume of scientific literature.

Highlights

  • Citation-grounded AI: Every AI response includes clickable citations that jump to the exact passage in the paper.
  • Cross-paper insights: Ability to ask questions and synthesize answers across an entire library or specific project.
  • Structured data extraction: Custom data tables to extract key fields across multiple papers with verifiable sources.
  • Integration: Supports Zotero synchronization and open-access literature search for easy paper discovery.
  • Audio overviews: Generates audio versions of papers for listening on the go.

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