Turn any KML file into a clean CSV spreadsheet

Everything you need to know about converting KML to CSV

A KML file — Keyhole Markup Language — is an XML-based format built to describe geographic features such as points, paths and shapes for display in mapping software like Google Earth and Google Maps. It's excellent for visualising data on a globe, but it's a poor fit for spreadsheets, databases or bulk analysis, which is exactly the gap a KML to CSV conversion fills. Converting KML to CSV takes every placemark's name, description, geometry and custom attributes and lays them out as rows and columns that any spreadsheet tool, BI platform or scripting language can read without special libraries.

What is a KML to CSV conversion?

At its core, KML to CSV conversion means walking through the XML structure of a KML file, finding each Placemark element, and extracting its coordinates along with any metadata attached to it. A Point placemark converts cleanly into a single latitude and longitude pair. A LineString or Polygon, which can contain dozens or hundreds of coordinate pairs describing a path or an area, is either summarised into one row with a coordinate list or exploded into individual vertex rows, depending on what the analysis calls for. Fields stored inside a Placemark's ExtendedData block — things like elevation, category, or a custom ID — are pulled out as their own columns rather than being discarded.

How to convert a KML file to CSV, step by step

The typical workflow is straightforward: open the tool, upload or paste the KML file to convert, choose whether line and polygon vertices should be expanded into separate rows, select a coordinate order and delimiter, and then run the conversion. Behind the scenes, the browser's DOMParser reads the XML tree, iterates through every Placemark, Point, LineString and Polygon node, and builds a table in memory. Because this happens client-side, there's no waiting on a server, no file size caps imposed by an upload limit, and no risk of sensitive location data being logged anywhere outside your machine.

Common use cases for KML file conversion

Field survey teams often export GPS tracks as KML from a mapping app and need the data in CSV to join against a spreadsheet of site visits. GIS analysts frequently need KML to CSV so they can load coordinates into pandas, Excel or a SQL database for further processing. Real estate and logistics teams use KML files to define delivery zones or property boundaries, then convert them to CSV to plug into routing or reporting tools that don't understand KML directly. Environmental and conservation projects that track sensor locations or survey plots as KML placemarks lean on CSV exports to feed statistics software.

Tips for cleaner KML to CSV results

Before converting, check that your KML file was exported with descriptive placemark names — a file full of generic "Untitled Path" labels converts fine but produces a CSV that's harder to interpret afterward. If your source file mixes points, lines and polygons in one Document, enabling vertex expansion only for the geometry types that need it (lines and polygons) while keeping points as single rows usually gives the most usable spreadsheet. Finally, always spot-check a handful of rows against the original map before relying on the CSV for downstream analysis — a quick manual check catches encoding issues or coordinate order mistakes early.