Geodata Tools

Convert your spatial datasets instantly. Operating 100% locally in your web browser, your geographic routes and coordinate files are never uploaded over the internet.

Universal File Converter: Private & Fast

Convert images, videos, audio, and documents directly in your browser. Your files never leave your device, ensuring 100% privacy and security.

Geodata Converter

Convert KML or GPX to GeoJSON locally.

100% In-Browser Isolation Verified

Your files are processed strictly in local device memory. Stored zero bytes, audited zero network egress.

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How to convert files with DuckConvert

1

Select Your File

Choose the file you want to convert from your device or drag and drop it into the converter.

2

Choose Output Format

Select your desired output format and any specific settings for your conversion.

3

Convert & Download

Click "Start Conversion" and wait for the local process to finish, then download your new file.

Secure Route Data

Your routes, waypoints, and tracking files are highly private. Local parsing protects your home location, running paths, and corporate mapping assets from leaking to third parties.

Preserve Precision

Keep exact floating-point coordinate precision. Our spatial parsers maintain high-accuracy values for hiking tracks, geographical routes, and waypoint markers.

Perfect for Developers

Easily migrate coordinates between legacy XML systems (like KML and GPX) and modern mapping JSON geometries (GeoJSON) for rapid web map development.

An Educational Guide to Geodata: XML Schemas vs. GeoJSON Models

Geographic Information Systems (GIS) and modern web mapping applications rely on various file types to store geometry, properties, and metadata. When migrating spatial assets, understanding the underlying schemas is essential:

XML-Based Formats (KML, GPX)

KML and GPX are structured XML documents that declare coordinate points using tags like <coordinates> and <trkpt>. While highly standardized and easy for standalone GPS hardware or Google Earth to read, XML is heavy and require tedious parsing workflows before they can be utilized directly in web application scripts.

GeoJSON Geometry Models

GeoJSON is an elegant, lightweight standard based on JSON (JavaScript Object Notation). It represents geometries (Point, LineString, Polygon, MultiPolygon) alongside associative property key-value dictionaries. This makes it the native format for web visualization frameworks (Leaflet, Mapbox, and OpenLayers).

How Local Spatial File Transpilation Works

DuckConvert utilizes high-performance spatial parsing engines like @tmcw/togeojson. When you upload a KML or GPX file, our client-side code parses the XML string into a sandboxed browser DOM object model. It recursively crawls the node structure, extracts the coordinate streams, formats them into standard GeoJSON Coordinates arrays (nested as longitude, latitude, and optional altitude), maps metadata tags to GeoJSON properties, and outputs a clean, minified JSON text block for immediate local download.

Geodata Utilities FAQs

Absolutely. Location files, coordinate points, and GPS tracks often record highly sensitive information, such as home addresses, personal running routes, or critical infrastructure locations. DuckConvert parses all spatial formats locally within your browser using JavaScript. No spatial datasets, longitude/latitude arrays, or route coordinates are ever sent to an external server.
KML (Keyhole Markup Language) is an XML-based format developed by Keyhole/Google for visualizing geospatial data in Google Earth or Google Maps. GPX (GPS Exchange Format) is the global XML standard used by GPS devices, smartwatches, and fitness apps (like Garmin or Strava) to record track points, routes, and waypoints. GeoJSON is a modern, lightweight JSON standard widely used by web developers for mapping frameworks (Leaflet, Mapbox, OpenLayers) due to its seamless native integration with JavaScript.
Yes! You can load .gpx track logs from sports watches or hiking trackers, convert them into GeoJSON format, and integrate them directly into modern web map rendering engines. The entire parsing routine is executed offline, ensuring that your personal physical coordinates remain completely secure.
No. Our local converters utilize high-precision parsing routines that preserve full decimal coordinate accuracy (floating-point precision) for latitudes, longitudes, and elevations. This ensures your mapping tracks, lines, and point markers remain accurate down to the sub-centimeter level.