Overview
Automatically detect and blur NSFW images and videos using client-side ML.
BlurNSFW uses advanced artificial intelligence (TensorFlow.js) running directly in your browser to automatically detect and blur explicit images and videos before you see them. Unlike other extensions that rely on keywords or slow server uploads, BlurNSFW analyzes visual content instantly on your device. This ensures your privacy is never compromised; no images or browsing history ever leave your computer. Key Features: * 👁️ Real-Time Detection: Instantly analyzes and blurs NSFW images, GIFs, and videos as they load. * 🔒 100% Private: All analysis happens locally on your machine. No data is ever sent to the cloud. * ⚡ Battery Friendly: Smart resource management ensures the AI only scans the active tab, preserving your battery and CPU. * 🎥 Video Support: sophisticated blocking for video elements, including autoplay previews and hover-to-play content. * ⚙️ Customizable: * Whitelist specific sites you trust. * Toggle video analysis on/off for performance. * 🛡️ Ad & Background Scanning: Detects explicit content hidden in background images, ads, and iframes. How it works: 1. Install the extension. 2. Browse the web as usual. 3. When an explicit image or video is detected, it is automatically blurred. 4. Click the extension icon to pause scanning or adjust sensitivity settings. Privacy Policy: This extension does not collect, store, or transmit any user data. All image processing is performed locally within your browser using an offscreen document.
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Details
- Version1.0.8
- UpdatedJanuary 27, 2026
- Size26.44MiB
- LanguagesEnglish
- DeveloperMuhammad AzeemWebsite
Old Golimar Rexer, Manghopir Road House # 99 Karachi 75700 PKEmail
hello@emails.browse.fyiPhone
+92 340 8293855 - TraderThis developer has identified itself as a trader per the definition from the European Union and committed to only offer products or services that comply with EU laws.
Privacy
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