Item logo image for De-Slop

De-Slop

5.0(

2 ratings

)
ExtensionTools22 users
Item media 5 (screenshot) for De-Slop
Item video thumbnail
Item media 2 (screenshot) for De-Slop
Item media 3 (screenshot) for De-Slop
Item media 4 (screenshot) for De-Slop
Item media 5 (screenshot) for De-Slop
Item video thumbnail
Item video thumbnail
Item media 2 (screenshot) for De-Slop
Item media 3 (screenshot) for De-Slop
Item media 4 (screenshot) for De-Slop
Item media 5 (screenshot) for De-Slop

Overview

Automatically detects and removes AI-generated slop content from web pages

De-Slop A Chrome extension that automatically detects and removes AI-generated "slop" content from web pages. Features Core Detection Three-tier detection system with weighted pattern matching (180+ patterns) Real-time scanning of dynamically loaded content Badge counter showing blocked slop on current page Configurable sensitivity (1-5 slider) Custom pattern editor - add your own slop patterns with custom weights Tools Interactive Slop Checker - paste text and see what gets flagged Markdown rendering support Real-time highlighting Match explanations Slop Machine - gamified learning tool Slot machine interface for discovering better word choices Full searchable index of 90+ slop terms and alternatives Track your progress LinkedIn Fixer When on LinkedIn.com, additional features activate: Block auto-play videos Block ad tracking Darker mode - true black LinkedIn theme Advanced Features Emoji slop detection - flag emoji spam and engagement bait Stop-word filtering - detect "I'm excited to announce" style posts Em dash detector - AI loves em dashes Export/import custom pattern sets Installation From Chrome Web Store For devs: https://github.com/HxHippy/DeSlop De-Slop uses a three-tier aggression system: Tier 1: AI-Specific Indicators (3 points each) Signature AI phrases and patterns: "delve into", "navigate the landscape", "tapestry of", "realm of possibilities" Em dash overuse, excessive transitions "In today's fast-paced world...", "As we continue to evolve..." Stop words: "I'm excited to announce", "Thrilled to share" Listicle patterns: "Top 10 ways to...", "Ultimate guide to..." Active at all sensitivity levels Tier 2: Corporate Buzzwords (2 points each) LinkedIn's greatest hits: "synergy", "leverage", "circle back", "low-hanging fruit" "take this offline", "touch base", "thought leadership" "AI-powered", "blockchain-enabled", "digital transformation" Active at sensitivity 3+ Tier 3: Marketing Spam (1 point each) The widest net: "free", "guaranteed", "limited time offer", "buy now" "amazing", "incredible", "revolutionary", "mind-blowing" "basically", "essentially", "actually" Active at sensitivity 4+ Scoring Thresholds Sensitivity | Threshold | Description 1 | 15 points | Very conservative - obvious AI only 2 | 12 points | Conservative 3 | 9 points | Balanced (default) - AI + corporate 4 | 6 points | Aggressive - includes marketing 5 | 4 points | Nuclear - maximum detection Usage Basic Controls Click the extension icon Toggle on/off Adjust sensitivity slider View blocked slop count Interactive Checker Click [ IS MY POST SLOP? ] Paste your text See highlighted matches with explanations Toggle markdown rendering if needed Slop Machine Click [ SLOP MACHINE ] Spin for random slop/better alternatives Or browse the full searchable index Filter by category (AI, Corporate, Marketing, Stop Words) Pattern Customization Click [ CUSTOMIZE PATTERNS ] Add/delete patterns in any tier Create custom patterns with custom weights Export/import pattern sets Changes save automatically LinkedIn Fixer When on LinkedIn, additional toggles appear: Block auto-play videos Block ad tracking Enable darker mode (true black theme) How It Works Scans page content using platform-specific selectors Assigns weighted "slop score" based on pattern matches Removes elements exceeding threshold Updates badge counter Monitors for dynamic content (infinite scroll, AJAX) Platform Support LinkedIn: .feed-shared-update-v2 (individual posts) Twitter/X: [data-testid="tweet"] Medium: article, .postArticle All sites: Generic article/post/card selectors Files Structure Core Extension manifest.json - Extension configuration background.js - Service worker for badge updates content.js - Main detection logic (180+ patterns) content.css - Styles for hiding detected slop Popup Interface popup.html/css/js - Main extension popup Tools checker.html/css/js - Interactive slop checker slop-machine.html/css/js - Learning slot machine settings.html/css/js - Pattern customization UI LinkedIn Features linkedin-fixer.js - Video blocking & darker mode rules.json - Ad blocking rules Privacy De-Slop: Runs entirely locally - no data sent to servers Stores settings in Chrome sync storage No analytics or tracking No external API calls Open source - inspect the code Permissions storage - Save your settings activeTab - Access current page content declarativeNetRequest - Block LinkedIn ads (optional) <all_urls> - Scan any page for slop Known Limitations Pattern-based detection may have false positives Very short content (<100 chars) skipped to reduce false positives Platform selectors may need updates when sites change If your entire LinkedIn feed disappears - it's all slop! Lower sensitivity. Version History v2.4.4 - Detection Only Mode & Emoji Expansion NEW: Detection Only Mode - Highlight slop instead of removing it Hover tooltips show which patterns triggered detection Visual feedback with red borders and pulsing animation Massively expanded emoji detection - From 21 to 166 patterns 80+ emoji + buzzword combinations 35+ specific cringe emoji patterns Emoji formatting abuse detection (chains, walls, bullet points) Call-to-action and hashtag spam detection Simplified UI - Removed redundant tier toggles Sensitivity slider now directly controls tier activation Collapsible sections for better organization Enhanced checker tool - Works both in-browser and standalone Improved error handling and fallback support Full pattern sync with live detection engine Pattern coverage expanded - Now 600+ total detection patterns v2.4.3 - Production release Fixed pattern customization (Manifest V3 compliance) All features stable and tested v2.4.2 - Slop Machine Added gamified learning tool (slot machine) 90+ slop/better pairs with searchable index v2.4.1 - Markdown improvements Fixed markdown rendering placeholders v2.4.0 - Markdown support Added markdown toggle to checker v2.3.3 - UI improvements Fixed checker layout and spacing v2.3.1 - Stop words & em dashes Added marketing engagement openers Em dash instant detection v2.2.0 - Interactive checker Added slop checker tool Real-time text analysis v2.1.0 - Emoji detection Added emoji slop toggle v2.0.0 - LinkedIn Fixer Video blocking Ad blocking Darker mode v1.0.0 - Initial release Three-tier detection system Basic popup controls License GNU General Public License v3.0 (GPL-3.0) This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. See LICENSE file for full license text. Credits Made by Kief Studio (https://kief.studio) Developed by HxHippy

Details

  • Version
    2.4.4
  • Updated
    November 13, 2025
  • Offered by
    Kief Studio
  • Size
    68.55KiB
  • Languages
    English
  • Developer
    Kief Studio
    #1061 571 Boston Turnpike STE 3 Shrewsbury, MA 01545 US
    Email
    info@kief.studio
  • Non-trader
    This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

Privacy

The developer has disclosed that it will not collect or use your data. To learn more, see the developer’s privacy policy.

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes

Support

For help with questions, suggestions, or problems, visit the developer's support site

Google apps