Unknown author · Workflow & Planning
5 items
Underlines AI clichés, spelling and grammar as you write, in any editor. Hover to see the fix, click to apply it. RemoveAISlop underlines the phrases that make writing sound machine-generated, in the editor you are already using: LinkedIn, X, Reddit, WordPress, Google Docs, and anywhere else you type. HOW IT WORKS Hover an underline to see the suggested replacement. Click it to apply. Your text is edited in place, so undo works normally and you never copy anything into a separate tool. WHAT IT CATCHES · 722 catalogued AI clichés, graded by how strong a signal each one is · Formulaic structures: "it's not X, it's Y", trailing significance clauses, stock openers and closers · Chatbot leakage such as "As an AI language model" and "Certainly! Here's" · Spelling and grammar, marked separately from style so you can tell a mistake from an opinion · Readability: reading ease, grade level, and sentences over 25 words YOUR WORDS, YOUR RULES Add words you never want flagged, such as a client's name or a term of art in your field. Add words you always want flagged, such as house-style bans. Both lists follow your account across devices. PRIVACY Detection runs entirely inside your browser. Nothing is sent anywhere to underline a phrase. Only an explicit whole-draft rewrite, which you trigger yourself, contacts our server. WHAT THIS IS NOT This is not an AI detector. It measures the statistical habits of unedited machine prose. Careful AI writing can score low and human writing can score high. It tells you what to fix, not who wrote it.
Aug 27, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.