Tracks: Wildlife Scanner

About this app

Step out, scan your area, collect every animal on Earth. Tracks turns iNaturalist's research-grade observations into a field tool that surfaces the documented wildlife around you. Tap a hex on the map to see what's been spotted nearby: birds, mammals, reptiles, amphibians, fish. Each comes with a real photo, scientific name, and the location it was last seen. WHAT YOU GET - A radar that scans the hex you're standing in for documented wildlife - Real photos and species data from iNaturalist's community - Your personal Tracks: every species you've collected, with a counter for repeat sightings - Smart expansion in sparse areas (rural or open water) so you always have something to discover - Location used only while you're scanning, never in the background FOR FIELD WORK, WALKS, AND CURIOSITY Use Tracks on a coastal walk to learn what shorebirds frequent the cove. Use it in a city park to see which native mammals the iNat community has documented. Use it on a road trip to discover regional fauna you'd otherwise miss. DATA SOURCED FROM iNATURALIST All observations come from iNaturalist's research-grade dataset under Creative Commons licensing. Every photo is attributed to its observer.

What's new in Tracks: The map is quicker and steadier. It opens on what you have already collected, keeps up while you pan, and keeps working when your signal doesn't. • Cells you can tap are visible everywhere on screen, at every zoom. • Markers arrive as a clean fade, nearest to you first, and stay sharp and tappable. • A revealed cell shows its species as photos. An empty one just says so. • Batteries turn up on a cell the day you earn it, by walking in or superscanning. • Signing out now erases this device's copy of your data, including where you have been. • When something fails to load, the map says so instead of looking empty.

Momentum comes from crawler snapshots for the tracked storefront. “Viral growth signal” means unusually fast recent rating gains; it is an indicator, not download data.

1. First observed Sep 1, 2026 · 2:28 PM Free