According to AlphaMoat, as of 2026-09, the Chrome extension qwip AI Detection BETA has 66 users (+13.8% MoM), rated 5 (5 reviews) — ranked #4,930 of 9,324 AI browser extensions, and #384 of 676 in Education & Research.
What is qwip AI Detection BETA
THIS EXTENSION IS FOR BETA TESTING. Privacy-first AI-generated image detection in real-time. qwip is a privacy-first browser extension that detects AI-generated images entirely on your device. Your images never leave your browser.
🔒 PRIVACY-FIRST ARCHITECTURE
- 100% local processing using ONNX Runtime Web
- Zero server uploads - your images never leave your device
- No tracking, no accounts, no data collection
- Open source and auditable
🤖 ADVANCED AI DETECTION
- Multiple state-of-the-art models (MobileViT, Swin Transformer)
- Detects images from Stable Diffusion, DALL-E, Midjourney, and more
- ~85% accuracy on standard benchmarks (CiFake, GenImage)
- WebGPU acceleration for instant results
⚡ SEAMLESS BROWSER INTEGRATION
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- Automatic detection of images as you browse
- Right-click any image to check AI detection
- Visual badges show results inline
- Works completely offline after initial download
🌐 COMMUNITY-POWERED DATABASE
- Optionally contribute anonymized perceptual hashes
- Help build global AI detection database
- Benefit from crowd-verified results
- All contributions are privacy-preserving (no images stored)
BETA TESTING NOTICE: This extension is currently in beta. Accuracy will improve over time through model updates and community contributions. Detection results should be used as one factor in evaluating image authenticity, not as definitive proof.
TECHNICAL DETAILS:
- Uses ONNX Runtime Web with WebGPU acceleration
- Falls back to WASM on unsupported devices
- Perceptual hashing (pHash, BLAKE3) for duplicate detection
- Models: MobileViT CiFake, MobileViT GenImage, Swin AI Detector
- Total size: ~45MB (models downloaded on first run)
OPEN SOURCE: GitHub: https://github.com/qwip-ai/qwip Documentation: https://docs.qwip.io
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+ CompareData month: 2026-09 · User counts and ratings come from public Chrome Web Store data, aggregated monthly. See methodology.