Unknown author · Tools
5 items
Extract locations from travel videos and posts. One click to open in Google Maps, export to KML or save your trip list. PlaceSnap — Extract Locations from Travel Videos Watch a travel video and instantly know every place mentioned. PlaceSnap uses AI to read YouTube, Instagram and TikTok travel content and extract every location — cities, beaches, landmarks, monuments, viewpoints — as a clickable list that opens directly in Google Maps. How it works Open any travel video or post. Click the PlaceSnap button. In seconds, every location mentioned appears as a list. Click any place to open it in Google Maps. Edit the list before saving — delete wrong pins, fix names, add places manually. Then export as HTML or KML to import into Google My Maps. Works on ▶️ YouTube — button appears under every video 📸 Instagram — right-click on any post → PlaceSnap 🎵 TikTok — floating button on every video Key features AI-powered extraction using Claude (Anthropic) Edit locations before saving — delete, rename, add manually Every saved pin links back to the source video Export to HTML — a beautiful clickable location page Export to KML — import directly into Google My Maps Works in English, Spanish, Italian and most languages Your API key stays on your device — never shared What you need PlaceSnap requires an Anthropic API key (get one at console.anthropic.com). Cost is approximately $0.002 per video — less than a fraction of a cent. A $5 credit lasts for thousands of videos. Perfect for Travel planners, trip researchers, travel bloggers, destination guides, anyone who watches travel content and wants to turn it into an actionable map.
Jun 17, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.