Turn KML placemarks, paths and polygons into a CSV table for spreadsheets, databases and BI tools. 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 CSV. The file is processed locally, so your data is never uploaded to a server.
03
The CSV 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. CSV is built for spreadsheets, databases and BI tools.
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.
CSV
CSV (comma-separated values) is plain text where each line is a row and commas separate the columns. Location is stored in coordinate columns, such as latitude and longitude, or as WKT geometry text.
Every spreadsheet, database and BI tool reads CSV, which makes it the universal hand-off format. It has no data types, styles or coordinate system metadata.
Your KML file
KML styles (icons, colours) describe how features look; attributes kept in descriptions or extended data may need tidying after conversion.
The CSV output
Geometry is stored as text — coordinates or WKT — in columns next to the attributes.
Your file never leaves your device: conversion runs in your browser, for files up to 100 MB.
Open KML attributes in Excel or Google Sheets to sort, filter and pivot.
Load KML records into PostgreSQL, MySQL or BigQuery with standard import tools.
Feed the table to Power BI, Tableau or Looker Studio.
Every converter runs in your browser and keeps your files on your device.
