GeoJSON to Google KML Converter
Converting GeoJSON vectors to Google KML translates lightweight JSON coordinate arrays into structured XML documents tailored for Google Earth and Google Maps.
Format Comparison & Technical Specifications
| Specification | GEOJSON | KML |
|---|---|---|
| MIME Type | application/geo+json | application/vnd.google-earth.kml+xml |
| Type | geographic vector JSON | geographic XML notation |
| Compression | none (JSON text) | XML text (KMZ when ZIP compressed) |
| Standard Specification | IETF RFC 7946 | OGC KML 2.3 |
| Magic Bytes Header | 7B 22 74 79 70 65 22 3A 20 22 ({"type": ") JSON header | 3C 3F 78 6D 6C ... 3C 6B 6D 6C (<kml) |
Format Overview & Applications
Geographic vector data is often captured and shared using GeoJSON because web developers and JavaScript mapping libraries process it naturally. However, desktop GIS software like Google Earth and legacy enterprise globe applications require Keyhole Markup Language, commonly known as KML. Translating these formats allows field researchers and cartographers to view web-scraped boundary polygons, drone telemetry points, and municipal asset routes inside virtual globes without writing custom scripts. Moving data from GeoJSON to KML also bridges the gap between open-source web APIs and consumer-facing mapping tools. Many civic planners collect data using Leaflet or Mapbox libraries that output GeoJSON files. When stakeholders want to review those exact layers in a 3D desktop environment, converting the geometry tags, styling attributes, and metadata properties into XML nodes ensures that visual elements like icons, line widths, and fill colors render correctly.
Technical Specifications & Codec Breakdown
GeoJSON uses the application/geo+json MIME type, representing geographic points, lines, and polygons inside plain text JavaScript Object Notation. It contains no binary magic bytes, relying instead on standard ASCII or UTF-8 brackets and key-value pairs like "type": "FeatureCollection". Conversely, Google KML utilizes the application/vnd.google-earth.kml+xml MIME type, structuring spatial features inside XML tags such as <Placemark>, <Point>, and <Polygon>. While neither format uses lossy compression natively at the text level, KML files can be zipped into KMZ archives using standard DEFLATE compression to bundle heavy vector data and local image icons together.
OS & Browser Compatibility
Both formats load smoothly across modern operating systems including Windows, macOS, Linux, iOS, and Android. Modern web browsers natively parse GeoJSON strings using standard JavaScript engines, whereas Google KML requires specialized parsers or dedicated desktop earth software like Google Earth Pro. Mobile browsers cannot display raw KML files directly without a helper application or server-side pre-rendering.
💡 Useful info
When converting large datasets with thousands of complex polygons, split your source GeoJSON into smaller regional files before exporting to KML to prevent memory crashes in consumer mapping applications.
Format Comparison & Technical Specifications
A standard 5 megabyte GeoJSON vector file transfers in approximately 0.05 seconds over a 1 Gbps Fiber connection, about 0.4 seconds over a standard 5G mobile network, and roughly 1 second over a typical 4G LTE connection.
Frequently Asked Questions
How do you convert GeoJSON to Google KML without losing quality?
This conversion is strictly lossless because both formats store vector coordinates using exact numerical latitude and longitude values. The translation process maps GeoJSON keys to corresponding KML XML elements without altering coordinate precision, though custom styling properties might require manual mapping if the target software reads non-standard attributes differently.
What is the difference between GeoJSON and Google KML?
GeoJSON is a lightweight text format built on JSON syntax, designed specifically for web mapping APIs and JavaScript processing. Google KML is an XML-based language designed for Google Earth, offering built-in support for 3D altitude clamping, custom camera viewpoints, nested folder hierarchies, and embedded icons.