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Description
AI-powered location extraction from travel articles with interactive map visualization Turn any travel article into a visual route in one click. Reading a travel blog? "We started at Montmartre, then walked to Sacré-Cœur…" Stop switching tabs to Google Maps. Click the Map-My-Read icon, hit Scan for Locations, and every place mentioned in the article appears as a numbered list — in the order the author visited them. What it does 🗺️ AI-Powered Location Extraction: Uses Chrome's built-in Gemini Nano to intelligently extract locations 📍 Numbered Markers: Displays locations in the order they appear in the article 🔍 Smart Detection: AI recognizes cities, landmarks, neighborhoods, regions, and any geographical references 📊 OpenStreetMap Integration: View locations on free, open-source OpenStreetMap 🌍 Works on Any Content: Detects locations in articles, blogs, and pages with geo tags 📤 Multiple Export Options: Export to Google Maps or OpenStreetMap ⚡ Instant Analysis: Quickly verify if the author's route makes sense or if locations are far apart 🤖 Fallback Detection: Uses pattern-based extraction when AI is unavailable How to use Open any travel article, blog post, or news story mentioning places Click the Map-My-Read icon in your toolbar The side panel opens — click Scan for Locations See all locations listed in order of appearance Click any location to view it on OpenStreetMap, or click Export to Google Maps for a full route Works great for Planning a trip from someone else's travel blog Verifying whether a suggested route makes geographic sense Quickly mapping all places mentioned in a travel guide Spotting how far apart recommended locations actually are Privacy All text analysis runs locally in your browser using Chrome's built-in Gemini Nano model. No page content is ever sent to external servers. The only outbound requests are the Google Maps or OpenStreetMap links you explicitly click.
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