According to AlphaMoat, as of 2026-10, the Chrome extension ZONN has 12 users (-74.5% MoM), rated 5 (4 reviews) — ranked #9,334 of 10,012 AI browser extensions, and #687 of 727 in Education & Research.
What is ZONN
ZONN tells you whether an image was generated. Right-click any image or link, or upload one or paste a URL into the popup, and you get a Zonn Score from 0-100 with an AI, Real or Uncertain verdict plus a breakdown of the individual signals behind it. The detection stack is spelled out: modern ML image detectors the developer names as SigLIP, ItsNotAI v2, xRayon ConvNeXt, Bombek-1 and CommFor; forensic analysis covering error level analysis, noise patterns, FFT frequency and edge consistency; provenance signals from C2PA, metadata, ICC profile and watermarks; and manipulation maps from IML-ViT. History is kept locally and nothing is scanned automatically, since you trigger each analysis. Images are sent to ZONN servers for the analysis itself, and a free ZONN.ai account connected over OAuth is required. Running detectors and forensic models is model work, so this is an AI product.
Right-click scanning of any image or link. Zonn Score from 0-100 with AI, Real or Uncertain verdicts. Breakdown of individual detection signals. Ensemble of named ML detectors. Forensic checks over noise, frequency and edges. Provenance signals from C2PA, metadata and watermarks. Manipulation maps. Local analysis history.
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Detect AI-generated images directly from your browser. Right-click any image to scan with ZONN.ai. FEATURES:
- Check any image for AI generation artifacts with ML-powered analysis
- Right-click any image or link to instantly analyze
- View detailed signal breakdowns from ML models and forensic methods
- Track your analysis history locally
- Integrated with your ZONN.ai account for seamless detection
HOW IT WORKS: 1. Right-click any image and select "Zonn It — Check Image" 2. Or open the popup and upload an image or paste a URL 3. Get an instant Zonn Score (0-100) with AI/Real/Uncertain verdict 4. View detailed breakdowns of individual detection signals
DETECTION METHODS:
- Modern ML image detectors (SigLIP, ItsNotAI v2, xRayon ConvNeXt, Bombek-1, CommFor)
- Forensic analysis (ELA, noise pattern, FFT frequency, edge consistency)
- Provenance signals (C2PA, metadata, ICC profile, watermark)
- Manipulation maps (IML-ViT)
PRIVACY:
- Your content is sent to zonn.ai servers for analysis only
- No browsing data is collected or stored
- Analysis history is stored locally on your device
- You control what gets analyzed — nothing is automatic
PERMISSIONS EXPLAINED:
- Storage: Save your analysis history and settings locally
- Active Tab: Resolve image URLs on the current page when you trigger a scan
- Context Menus: Add "Zonn It" option to right-click menu
- Scripting: Read image elements for analysis when you request it
- Alarms: Keep your session active
- Notifications: Show analysis results from right-click actions
- Identity: Open the zonn.ai OAuth consent screen when you click "Connect" — never reads passwords or cookies, only receives a revocable access token
Requires a ZONN.ai account. Create one free at https://zonn.ai, then click "Connect" in the popup to authorize the extension via OAuth 2.0.
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Data month: 2026-10 · User counts and ratings come from public Chrome Web Store data, aggregated monthly. See methodology.