OpenFiche is a post-AI search engine designed to preserve high-quality, human-generated content - like a digital microfiche for the web. The goal is to filter out AI slop, sponsored results, and paywalled clickbait in favor of trusted sources and distraction-free reading for academic research that requires verifiably accurate information.

Modern search engines often produce frustrating experiences:

• Search results crowded with low-quality, AI-generated content and sponsored ads
• Articles locked behind paywalls or filled with intrusive advertisements
• Declining quality compared to the PageRank-driven era

OpenFiche aims to restore clarity and trust in search, especially for academic contexts, by surfacing verified, human-written sources and presenting them in a streamlined reader interface.

• Search engine

  • Indexes a curated catalog of NPR, CNN, and Wikipedia
  • Uses ranking algorithms to filter noise and present relevant results

• Research-focused browser

  • Graph style search history manager
  • Advanced reader mode to block distractions

• Expand indexed sources beyond NPR, CNN, and Wikipedia
• Improve the browser interface and reader mode
• Optimize performance and scalability of the crawler and indexer

MIT License © 2025