Review Snitch: AI Review & Spam Detector

Offline review analyzer for Amazon, eBay & Shopify. Detect fake reviews, AI generation & bot spam directly via DOM heuristics.

⚡ Review Snitch — The ultimate privacy-first automation utility that instantly analyzes e-commerce product reviews directly on the webpage DOM to detect potential spam, bot activity, and AI-generated manipulation. Shop smart and protect yourself from deceptive marketing. Review Snitch runs advanced, multi-layered text heuristics locally inside your browser to calculate an instant trust score without relying on costly or privacy-invasive third-party servers. 🔒 100% PRIVATE & SECURE (LOCAL CACHE ONLY) Built with a zero-knowledge architecture to fully respect user privacy: - The extension works entirely offline. It features absolute zero cloud databases, remote trackers, analytics scripts, or external network requests. - All DOM text extraction and scanning calculations are performed directly on your machine. Your browsing data and history never leave your device. 🚀 CORE HEURISTICS & FEATURES: - Exclamation & Shouting Abuse: Detects artificial hype by calculating the ratio of exclamation marks and capital letters to normal sentences. - Generic Sentiment Matching: Identifies template-based bot phrases (e.g., "amazing product buy now", "100% recommend") that lack specific product descriptions or context nouns. - Cross-Review Repetition: Scans for duplicate sentences and copied phrases across different review blocks to flag coordinated bot campaigns. - Product Mention Deficit: Checks if the review fails to reference key product terms extracted from the page title, exposing generic, non-verified copy-pasting. - Structural & Length Anomalies: Flags template-like character distributions and extremely short, low-effort reviews. - Clean Cyberpunk Interface: Features a stunning premium dark-mode glassmorphic dashboard with dynamic emerald-neon progress bars that update in real-time. Perfect for online shoppers, drop-shippers, and e-commerce analysts who want an honest, unmanipulated view of customer feedback without compromising their privacy.