About SlopDetector
Judging content quality shouldn't require a PhD in linguistics or hours of careful reading.
How It Started
SlopDetector emerged from a simple frustration: the internet is drowning in AI-generated slop, and existing AI detectors ask the wrong question. They focus on "Was this written by AI?" when the real question should be "Is this content worth my time?"
We built SlopDetector because humans can write slop too, and AI can sometimes produce valuable content. Origin doesn't determine quality. Substance does.
What We Actually Do
SlopDetector analyzes content for quality signals — not AI fingerprints. We look for specificity, lived experience, concrete details, and genuine insight. We categorize slop into recognizable patterns: Generic Slop, Pseudo-Insight Slop, Fake Authority Slop, Wikipedia Rehash, and Wellness Slop.
Each analysis provides a judgment (not a probability percentage), a category, and human-readable explanations with highlighted evidence. You understand why something is slop, not just that it might be.
Why This Matters
AI slop is everywhere — flooding social media, search results, YouTube, Amazon, and content farms. It wastes time, degrades information quality, and erodes trust. When you can't tell if content was crafted with care or mass-produced for engagement, everyone loses.
SlopDetector gives you a vocabulary and framework to name what you're seeing. It's a cultural tool as much as a technical one — because "slop" isn't just about AI, it's about quality.
Our Philosophy
Judgment over Probability
We give you a verdict, not a confusing percentage.
Explainability over Black Box
Every judgment comes with reasons you can understand.
Human Language over ML Jargon
No perplexity scores or burstiness metrics. Just plain talk.
Cultural Relevance over Academic Correctness
We care about real-world usefulness, not research papers.
Contact
Questions or feedback? Reach us at support@slopdetector.org