Turn KML placemarks, paths and polygons into a SQLite database you can query with SQL. Free, private and processed right in your browser.
Three steps, no software to install. Works on Windows, macOS, Linux and mobile.
01
Drop a .kml file into the converter, or click to browse. Files up to 100 MB are supported.
02
Click Convert to SQLite. The file is processed locally, so your data is never uploaded to a server.
03
The SQLite file downloads straight to your device. Need another format? Pick a converter below.
Converted your KML file? Upload it to GISCARTA and turn it into an interactive map your team or clients can actually use.
Colour by attribute, cluster thousands of points, switch on 3D.
Charts and key numbers next to the map, updated as you filter.
Animate dated features and compare how places change.
Publish a read-only map, embed it on your site, or keep it private with role-based access.
No credit card. No GIS degree. Upload your data and start mapping in minutes.
KML is built for viewing and sharing in Google Earth. SQLite is built for SQL querying and mobile or offline apps.
KML
KML (Keyhole Markup Language) is an XML format created for Google Earth and adopted as an OGC standard in 2008. It stores placemarks, paths and polygons together with their styles and descriptions.
KML is the easiest way to show geographic data to people who don't use GIS software, but it is built for display rather than analysis.
SQLite
SQLite is a self-contained, serverless SQL database stored in a single file. Each layer sits in its own table, and you can filter, aggregate and join it with standard SQL.
With the SpatiaLite extension, SQLite also stores geometry and supports spatial queries. It opens in QGIS, DB Browser for SQLite, Python, R and many mobile and desktop apps.
Your KML file
KML styles (icons, colours) describe how features look; attributes kept in descriptions or extended data may need tidying after conversion.
The SQLite output
Each layer becomes its own table, with geometry stored next to the attribute columns.
Your file never leaves your device: conversion runs in your browser, for files up to 100 MB.
Filter, aggregate and join KML data with standard SQL instead of scrolling through files.
Embed the KML data in mobile and offline apps that already use SQLite.
Read the tables directly with sqlite3, pandas or R's DBI.
Every converter runs in your browser and keeps your files on your device.
