Paper Finder

AI-powered academic paper search with semantic ranking, filtering, and citation export.

What is Paper Finder?

Academic research moves fast. Keeping up with new papers across multiple sources while filtering for quality and relevance is time-consuming. Paper Finder combines arXiv and Semantic Scholar searches with OpenAI-powered semantic ranking to surface the most relevant papers for your research interests.

Instead of manually checking multiple platforms and sifting through hundreds of results, you get intelligent filtering based on your actual query meaning, not just keywords. Papers are ranked by semantic similarity, citation metrics, and recency—saving hours of literature review time.

Export directly to Zotero, download BibTeX citations, or save as JSON for further analysis. Whether you're a researcher staying current with your field or exploring new areas, Paper Finder streamlines the discovery process so you can focus on what matters: reading and understanding the research.

Core Capabilities

Download & Installation

Paper Finder is available as both an open-source Python CLI tool and this web testing interface. For continuous monitoring and batch downloads, install the CLI tool with scheduled GitHub Actions or local automation.

Requirements: Python 3.8+, OpenAI API key, optional Zotero & Semantic Scholar keys
License: MIT
Status: Active development