Latest, 15 Oct 2026:6 usersMove the mouse over the chart for any month
Ratings count
monthly, 2 months
Latest, 15 Oct 2026:0 ratingsMove the mouse over the chart for any month
The Chrome Web Store rounds user counts down to the leading digit, so the user line moves in steps. The ratings count is exact and is the better signal of real adoption.
About LinkedIn AI Detector
Ever scroll LinkedIn and wonder how much of your feed is written by AI? LinkedIn AI Detector scores how likely each post is AI-generated — right in your feed, and entirely on your device.
It combines two local signals: fast pattern heuristics for an instant read, and Chrome's built-in Gemini Nano model for an authoritative judgment. Nothing about the posts you read is ever sent to a server. No accounts. No tracking. No cloud.
■ HOW IT WORKS
Every post gets a small badge showing an AI-likelihood percentage. A quick heuristic score appears instantly; the on-device model then refines it. Click the ✨ button on any post to (re)run the AI review on demand, and click the score to see the model's plain-English reasoning.
■ KEY FEATURES
• Model-first detection — the on-device Gemini Nano model judges posts, catching cleanly-written AI text that keyword filters miss.
• Instant badges on every post, colour-coded by likelihood.
• One-click ✨ force-review to analyse a specific post with the AI.
• Reasoning tooltip — see exactly why a post was flagged.
• AI text-watermark detection — flags the invisible characters some AI tools weave into generated text as near-certain (when present).
• Auto-hide — collapse high-scoring posts into a slim placeholder you can reveal any time.
• Author allowlist — never flag people you trust.
• Adjustable sensitivity and per-signal weighting.
• Built-in test panel — paste any text to see the heuristic breakdown and the model's score.
• Session stats — posts scanned, flagged, and hidden.
■ 100% PRIVATE, 100% LOCAL
All analysis runs on your computer using Chrome's built-in AI. The extension makes no network requests and requests only the "storage" permission (to save your settings and cache scores). Your feed is yours.
■ REQUIREMENTS FOR ON-DEVICE AI
The Gemini Nano model is optional but recommended. Without it, the extension still works using pattern heuristics.
To enable the model you need:
• Chrome 138 or newer (desktop)
• ~22 GB of free disk space for Chrome to enable the model (the model itself is ~2 GB; Chrome needs the headroom)
• A capable GPU (>4 GB VRAM) or CPU (16 GB RAM, 4+ cores)
On first install, a welcome page helps you check your device and download the model. You can also manage it any time from the popup or Settings.
■ NOTE ON ACCURACY
No AI-detection method is perfect. Treat the score as a strong signal, not proof. The watermark check is near-certain when it fires, but it only catches watermarks that are character-based and that survive copy-paste — so most detection comes from the model.
Not affiliated with LinkedIn or Google.