TL;DR: Clean ≠ human. The Slop Index scores template fingerprints—repetition loops, hedges, passive spikes, buzzword foam, paragraph uniformity—without tracking or uploading your text.
Why
“Looks fine” content often reads like it was extruded from a mold. We wanted measurable tells that a human can reason about—not a black-box “truth score.”
Signals
- Repetition: share of top bigram vs all bigrams
- Burstiness: sentence length variance
- Lexical diversity: type–token ratio
- Clichés / Buzzwords / Hedges per 100w
- Passive hits per sentence
- Paragraph uniformity (rhythm sameness)
- Too-simple grade (only penalized when other signals fire)
Try it fast
- Paste text or fetch a URL.
- Export JSON for receipts.
- Privacy: runs client-side; the optional fetcher strips scripts and caches for 10 minutes.
Live tool: https://vibeaxis.com/tools/slop-index/?utm_source=devto&utm_medium=post
GitHub: https://github.com/vibeaxis/slop-index
If you want a one-click bookmarklet:
js
javascript:(()=>{location.href='https://vibeaxis.com/tools/slop-index/?url='+encodeURIComponent(location.href)})()
Top comments (1)
The Slop Problem: why the web feels like reheated leftovers—and how to fight back. Full write-up + tools at vibeaxis.com
#AISlop #AI #InternetCulture