Not an AI Detector

Free AI Slop Detector
Check If Content Is Worth Reading

AISlopScanner is an opinionated judgment system that helps you decide: "Is this content low-value slop, and why?"

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AI Slop Scanner
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How It Actually Works

No AI, no API calls, no black box. Here is exactly what happens when you hit "Analyze" — five factors, one honest score.

1

Slop Vocabulary

We keep a dictionary of 300+ words that mass-produced content overuses, ranked in three tiers. Words like "delve", "tapestry" and "testament" are instant tells.

delvetapestrypivotal
2

Cliché Phrases

Empty openers and prefab transitions: "in today's rapidly evolving world", "it's important to note that". These phrases survive even after the vocabulary is cleaned up.

in today's…it's important…
3

Sentence Structure

Uniform sentence length, transition-word openers, rule-of-three lists and em dash density all point at templated production lines.

uniform lengthrule of three
4

Vocabulary Diversity

Human writing breathes — short sentences, long ones, odd words. We measure type-to-token ratio to catch text that repeats itself or stays artificially flat.

type-token ratio
5

Content Substance

Slop hedges: "can help", "many", "various factors". Real content commits: numbers, dates, names, and claims that could actually be wrong.

hedgingno specifics

0–100

Every factor feeds one number. The higher the score, the harder we'd nudge you to close the tab and go outside.

The Slop Score

Why is this free? What's the catch?

We hate AI slop. We're the type of people who flag AI-processed memes. Here's our full reasoning:

  • We hate slop — it's undermining the internet's information ecosystem
  • Your text stays in your device — analysis runs 100% locally
  • We're not selling anything — no accounts, no email, no data collection
  • No usage limits — paste once or a hundred times
  • Fully transparent scoring — every factor is explained above
  • Quality, not origin — human slop exists too; the goal is better writing

This site can run with $0 operating costs: no cloud servers, no AI inference, no database. Static files, local JavaScript. That's how it stays free and stays that way.

We Judge Quality, Not Origin

We don't care whether a human or a model wrote your text. We care about the answer to one question: “Is this worth reading, skimming, or skipping?”

What We're NOT

  • An AI detector We cannot tell you whether a human or a model wrote a text — nobody can, reliably.
  • Making accusations A high score is a prompt to look closer, never proof that someone cheated.
  • A black box Every point on your score traces back to a factor you can read about.
  • Perfect Heuristics miss things and over-flag things. Treat the score as one opinion, not a verdict.

What We ARE

  • An opinionated judgment tool We answer a different question: is this worth your reading time?
  • Extremely useful for editing Every flagged phrase comes with the reason it reads as slop.
  • Privacy-first and 100% local Your text never leaves your browser. No accounts, no logs.
  • Multilingual-friendly The lexicon is English-first, but the structure signals travel well.

The Slop Taxonomy

A working classification system for low-quality content. Five categories that cover most of what's out there, each with its own detection signals.

Generic Slop

Could be about anything. Swap the nouns and nothing changes — "in today's fast-paced world" energy from start to finish.

Primary tell: Vague openers, no specifics See examples →

Pseudo-Insight Slop

Sounds profound, says nothing. "It's not just X, it's Y" constructions stacked until you forget what was being claimed.

Primary tell: Fake depth, contrast tics See examples →

Fake Authority Slop

Cites studies that don't exist and statistics nobody measured. Confidence per sentence is inversely proportional to evidence.

Primary tell: Unverifiable "research shows" See examples →

Wikipedia Rehash

The first three search results, compressed into a listicle with the personality ironed out. Accurate-ish, useful never.

Primary tell: Summary-shaped, zero voice See examples →

Wellness Slop

"Unlock your best self" — supplement-adjacent content that pathologizes normal life and sells rituals, not results.

Primary tell: Your journey, their product See examples →

The 6th Category

Reserved. We'll know it when the internet produces it.

Coming soon

Frequently Asked Questions About AI Slop

Everything you need to know about AI slop detection and why it matters.

What is AI slop?

AI slop is low-effort, mass-produced content — text, images, or video — generated at scale and published for engagement rather than value. It reads as plausible but says little: vague, templated, interchangeable. The term exploded in 2024 and became a Word of the Year contender in 2025.

How is AI slop detection different from AI detection?

AI detectors guess who wrote a text, and they fail often — flagging the Gettysburg Address as machine-made. Slop detection asks a different question: is this worth reading? A tired human listicle can score high. A carefully edited AI draft can score low. We judge quality, not origin.

Why is AI slop a problem?

It crowds out human work, pollutes search results and feeds, erodes trust in what we read, and at its worst spreads dangerous misinformation — fake health advice, fabricated news, scam funnels. It also trains future models on its own output, degrading them.

How does AISlopScanner identify AI slop?

Deterministic heuristics, fully in your browser: a tiered dictionary of 300+ overused words, a cliché-phrase list, structure signals (transition openers, sentence-length uniformity, em dash density, rule-of-three), lexical diversity, and substance measures. No AI, no API calls, no data sent anywhere.

Can AI-generated content be good (not slop)?

Yes — and we say so plainly. A draft generated by a model and then edited by a knowledgeable human who adds specifics, voice, and lived experience can absolutely clear the bar. The slop is what happens when nobody does that work.

What are the signs of AI slop in text?

Overused words ("delve", "tapestry", "pivotal"), prefab phrases ("in today's rapidly evolving world"), uniform sentence rhythm, em dashes everywhere, rule-of-three constructions, hedging instead of specifics, and zero lived experience. Two or more at once is the real tell.

What does 'AI slop' mean?

"Slop" is what you feed to pigs — cheap, bulk, low-nutrition filler. Applied to AI content, it describes output produced at scale for quantity, not quality. The metaphor stuck because it captures both the production method and the nutritional value.

What are some examples of AI slop?

Shrimp Jesus on Facebook, fake crochet patterns, AI news anchors reading fabricated stories, "experts" citing studies that do not exist, foraging books on Amazon with dangerous errors, and SEO blog posts that answer questions nobody asked. See our Examples gallery for the full tour.

How do you detect or spot AI slop?

Manually: read the first three sentences and count tells — prefab openers, hedged claims, no specifics. Automatically: paste the text into our detector and get a 0–100 score with a factor-by-factor explanation of what tripped it.

Is this AI slop? How can I check content for free?

You just found the free way: scroll up, paste your text, hit Analyze. No account, no limits, no data leaves your browser.

Ready to Detect AI Slop?

Paste any text into our free AI slop detector and get an opinionated, factor-by-factor verdict — instantly.