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GraniteLabs Searchable Hub

Overview​

The GraniteLabs Searchable Hub solves one of the biggest problems in complex systems:

👉 critical settings buried deep with no search.

This system uses AI-powered indexing to extract, organize, and make software interfaces fully searchable.

🎯 Objective​

  • Surface hidden settings across complex software
  • Provide fast, searchable access to UI elements
  • Reduce time spent navigating menus
  • Enable structured system documentation

🧠 Key Concepts​

  • AI vision extracts visible UI text
  • Screenshots are converted into searchable data
  • Entire interfaces become indexable
  • Designed for real-world troubleshooting and configuration

🛠️ Blue Iris Tab Indexer​

A Python-based tool that:

  • Captures every tab in Blue Iris 6
  • Extracts text using AI vision
  • Builds a fully searchable index

Results​

  • 47 tabs captured
  • 1,600+ settings indexed
  • Complete UI coverage

▶ Open Tool​

👉 Open Blue Iris Tab Index

📊 Scope​

SystemStatus
Blue Iris 6Complete – 47 tabs indexed
AcumaticaPlanned
VelixoPlanned
UniFiPlanned

⚠️ Notes​

  • Index reflects visible UI only
  • Accuracy depends on capture quality
  • Best used as a navigation and discovery tool
  • Complements—not replaces—documentation

📊 Related Systems​

✅ Result​

A powerful AI-driven indexing system that transforms complex software into searchable, navigable interfaces.