Overview
Block lewd and suggestive images while browsing. Track your stats and stay focused.
Stop giving your attention (and money) to algorithmically optimized thirst traps. ThotBlock uses AI to automatically detect and blur suggestive images as you browse. Works on Twitter, Instagram, Reddit, and everywhere else. 🛡️ HOW IT WORKS ThotBlock scans images on every page you visit and uses machine learning to detect NSFW content. Blocked images are blurred with an overlay - click to temporarily reveal if needed. 🤖 AI-POWERED DETECTION Uses the industry-standard NSFW.js model (InceptionV3) for accurate detection. Catches obvious nudity, suggestive poses, and borderline content that other blockers miss. 🎚️ ADJUSTABLE STRENGTH • Strict - Maximum blocking, catches subtle suggestive content • Balanced - Recommended for most users • Lenient - Only blocks obvious NSFW content 🔒 100% PRIVATE ALL image analysis happens locally on your device. We never see your browsing data. No accounts, no tracking, no data collection. ⚡ FEATURES • Real-time image scanning • Video thumbnail detection • Customizable blocking strength • Site allowlist (whitelist specific domains) • Block counter statistics • Click-to-reveal for false positives • Optional auto re-block timer 📊 TRACK YOUR STATS See how many images have been blocked total and today. Stay motivated on your journey to a cleaner internet. 💡 PERFECT FOR • Focus and productivity • Breaking bad browsing habits • Keeping your feed clean • Shared or work computers • Anyone tired of thirst trap algorithms The extension is free and fully functional. If it helps you, consider supporting development at thotblock.com. Questions or feedback? Visit thotblock.com
Details
- Version1.0.0
- UpdatedJanuary 29, 2026
- Size24.21MiB
- LanguagesEnglish
- Developer
- Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
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
