Hey everyone! I’ve been working on a project to make SEC financial data more accessible and wanted to share what I just implemented. https://nomas.fyi
**The Problem:**
XBRL taxonomy names are technical and hard to read or feed to models. For example:
– “EntityCommonStockSharesOutstanding”
These are accurate but not user-friendly for financial analysis.
**The Solution:**
We created a comprehensive mapping system that normalizes these to human-readable terms:
– “Common Stock, Shares Outstanding”
**What we accomplished:**
✅ Mapped 11,000+ XBRL taxonomies from SEC filings
✅ Maintained data integrity (still uses original taxonomy for API calls)
✅ Added metadata chips showing XBRL taxonomy, SEC labels, and descriptions
✅ Enhanced user experience without losing technical precision
**Technical details:**
– Backend API now returns taxonomy metadata with each data response
– Frontend displays clean chips with XBRL taxonomy, SEC label, and full descriptions
– Database stores both original taxonomy and normalized display names
– Caching system for performance
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submitted by /u/ccnomas
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