Data month 2026-09
LLM Slop Detector
LLM Slop Detector
LLM Slop Detector
ThiasFlags invisible Unicode, AI-style punctuation, and telltale LLM phrases as you type -- or in any page you're reading. Local only.

According to AlphaMoat, as of 2026-09, the Chrome extension LLM Slop Detector has 14 users (-12.5% MoM) — ranked #8,342 of 9,324 AI browser extensions, and #619 of 676 in Education & Research.

Users · 2026-09
14-12.5%
Rating
-
Overall Rank (9,324)
#8,342
Education & Research Rank
#619/ 676

What is LLM Slop Detector

From the Chrome Web Store

Flags invisible Unicode, AI-style punctuation, and telltale LLM phrases as you type -- or in any page you're reading. Local only. LLM Slop Detector highlights the things that give AI-generated writing away: invisible Unicode smuggled inside text, em dashes and curly quotes that spell-checkers ignore, and phrases like "delve into", "tapestry of", "it's worth noting", or "game-changing" that appear far more often in LLM output than in human writing.

It works in two ways:

As you write

  • Scans every textarea, text input, and contenteditable on any webpage.
  • Inline wavy underlines mark flagged words and phrases. A floating badge shows the count. Click it for per-finding explanations.
  • One-click fixes for deterministic characters (em dash -> hyphen, curly quotes -> straight, zero-width spaces -> deleted). The fix goes through the host editor's native undo stack, so Cmd+Z works.
  • Tested in Gmail compose, Proton Mail compose, GitHub issue forms, Reddit, Substack, and anything else built on plain contenteditable.

As you read

  • Click the "Scan this page" button in the toolbar popup to highlight slop in any article, blog post, or thread you're reading. Wavy underlines go under flagged words; a floating results panel lists every finding and jumps you to it on click.
  • One-shot, click-to-scan only. No background scanning.
Show the rest of the store description▾

Rules are configurable

  • ~40 built-in core rules plus eleven opt-in packs covering academic writing, general LLM cliches, fiction tells, Claude-specific mannerisms, structural patterns ("not X but Y"), invisible-Unicode security threats, and model-specific tells for Gemini, DeepSeek, Llama, Qwen, and Grok -- 500+ curated regex patterns in total.
  • Enable only the packs you care about. Per-site disable in one click.

Privacy

  • Nothing you type, read, or scan is ever transmitted, logged, or persisted. All scanning runs locally inside the extension's sandboxed JS.
  • No telemetry, no analytics, no remote rule updates. The rules are bundled at build time and ship with each extension release.
  • Storage is chrome.storage.local only; your settings don't leave this device.
  • No "cloud assist" toggle. Never has been. Never will be.

Open source (MIT) at github.com/mandakan/llm-slop-detector. Also available as a VS Code extension, an npm CLI, and a web playground for paste-and-check. Same rule engine across all of them.

Extension profile

Version
v0.11.0
Size
53.57KiB
Languages
English
Updated
2026-09-25

User Growth Trend

Shared axis · hover for monthly values
Latest 14MoM-12.5%
-5.7611.5217.2826-0826-09
2026-08
16
—
2026-09
14
-12.5%

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Data month: 2026-09 · User counts and ratings come from public Chrome Web Store data, aggregated monthly. See methodology.