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.gpx

GPX Tracks Viewer

Understand what GPX is used for, why it is popular in GPS workflows, and when to convert it into richer GIS formats.

Perfect for viewing Strava, Garmin, or other GPS device exports.
All processing runs locally in your browser.

GPX Tracks

Perfect for viewing Strava, Garmin, or other GPS device exports.

How to open GPX Tracks online

GPX file viewer for hikers and cyclists. Visualize tracks, routes, and waypoints. Perfect for viewing Strava, Garmin, or other GPS device exports.

Privacy

Files are processed on your device in the browser. GeoDataViewer does not upload your datasets to a server for viewing.

Common issues

If a dataset uses multiple required sidecar files, make sure you provide the complete set together. For best results, keep all sidecars in one zip archive when applicable.

Related tools

Measure distances, areas, elevation, and radius circles using the tools menu, then come back to inspect your GPX Tracks layer on the map.

What is GPX Tracks?

GPX is a GPS-focused XML format built around tracks, routes, and waypoints for navigation, fitness, outdoor, and handheld-device workflows.

GPX was designed for exchanging recorded paths and navigation points between GPS devices, web fitness platforms, route-planning tools, and mapping software.
It is strong when the data naturally fits tracks, routes, and waypoints, but it is less suitable than general GIS formats for rich attribute schemas or multi-layer vector projects.

What is GPX Tracks used for?

  • Sharing recorded movement data from fitness, hiking, cycling, and field-navigation devices.
  • Moving routes and waypoints between planning tools and handheld GPS units.
  • Publishing simple navigation paths for review in consumer or outdoor mapping apps.

Common use cases

  • Exporting runs, rides, hikes, and surveys from Garmin, Strava, or mobile apps.
  • Loading planned routes onto outdoor navigation devices.
  • Bringing path data into GIS for cleanup, enrichment, or conversion into other feature formats.

Strengths

  • Familiar standard in GPS and consumer navigation ecosystems.
  • Well suited to sequential path data such as tracks and routes.
  • Easy to share with route-planning and outdoor mapping tools.

Limitations

  • GPX is not a rich multi-layer GIS container and does not model complex feature collections elegantly.
  • XML verbosity is heavier than compact binary or database formats.
  • Attribute handling is narrower than what analysts expect in database-backed GIS workflows.

File extensions and sidecar files

.gpx
XML document containing tracks, routes, waypoints, and related metadata.
trk / rte / wpt elements
Core GPX concepts for recorded tracks, planned routes, and point features.

Convert GPX online

GPX to CSV
Open, preview, and convert GPX locally in your browser.
GPX to AutoCAD DXF
Open, preview, and convert GPX locally in your browser.
GPX to FlatGeobuf
Open, preview, and convert GPX locally in your browser.
GPX to File Geodatabase
Open, preview, and convert GPX locally in your browser.
GPX to GeoJSON
Open, preview, and convert GPX locally in your browser.
GPX to GeoRSS
Open, preview, and convert GPX locally in your browser.
GPX to GML
Open, preview, and convert GPX locally in your browser.
GPX to GeoPackage
Open, preview, and convert GPX locally in your browser.
GPX to JSON-FG
Open, preview, and convert GPX locally in your browser.
GPX to KML
Open, preview, and convert GPX locally in your browser.
GPX to MapInfo
Open, preview, and convert GPX locally in your browser.
GPX to MBTiles
Open, preview, and convert GPX locally in your browser.

GPX Tracks Viewer FAQ

When is GPX the best choice?

GPX is the best choice when the data is fundamentally about tracks, routes, or waypoints moving between GPS-oriented tools.

Why does GPX feel limited in desktop GIS projects?

It was not designed as a general-purpose feature database, so complex schemas and multi-layer analytical workflows are better served by other formats.

Why convert GPX to GeoJSON or GeoPackage?

Those formats are easier to inspect in web maps, join with other datasets, and store alongside richer attributes or additional layers.