KML to Excel Converter
Convert KML (.kml) files to Excel (.xlsx) right in your browser — free, instant and private. Drop a file below and download the result in seconds. Nothing is uploaded to a server, so your data never leaves your device.
Drag & drop your .kml file
or click to browse
How to convert KML to Excel
- 1
Add your KML file
Drag and drop your .kml file onto the box above, or click to browse — you can also paste the raw text directly.
- 2
Convert in your browser
GeoMaps reads the KML and rewrites it as Excel locally, on your device. The conversion is instant and your file is never sent anywhere.
- 3
Download your Excel
Click download to save the converted .xlsx file. That's it — no account, no watermark, no limits.
KML (Keyhole Markup Language) is an OGC standard XML format created for Google Earth and used widely across Google Maps, mobile mapping apps and GIS software. It stores placemarks, paths, polygons, styling and folder structure, which makes it ideal for sharing annotated maps with non-technical audiences. A KML file is plain text; when zipped with its assets it becomes a KMZ.
Need the other direction instead? Excel is microsoft Excel workbooks with latitude / longitude columns. Excel workbooks (.xlsx, and legacy .xls) are where most location lists start life — customer lists, store addresses, site inventories and survey results. For mapping, each row is one place with latitude and longitude columns plus any attributes you want to keep. Converting between Excel and GIS formats lets you send a spreadsheet to Google Earth or GIS software, or pull mapped data back into a workbook for reporting.
Excel files are read from the first worksheet, and each row needs latitude/longitude columns (or a WKT geometry column). On export, points get longitude/latitude columns and lines or polygons are written to a geometry column as WKT.
What is KML?
.kmlKML (Keyhole Markup Language) is an OGC standard XML format created for Google Earth and used widely across Google Maps, mobile mapping apps and GIS software. It stores placemarks, paths, polygons, styling and folder structure, which makes it ideal for sharing annotated maps with non-technical audiences. A KML file is plain text; when zipped with its assets it becomes a KMZ.
What is Excel?
.xlsxExcel workbooks (.xlsx, and legacy .xls) are where most location lists start life — customer lists, store addresses, site inventories and survey results. For mapping, each row is one place with latitude and longitude columns plus any attributes you want to keep. Converting between Excel and GIS formats lets you send a spreadsheet to Google Earth or GIS software, or pull mapped data back into a workbook for reporting.
KML to Excel — FAQ
- How do I convert KML to Excel?
- Upload your .kml file using the converter above (drag & drop or click to browse). GeoMaps converts it to Excel instantly in your browser and gives you a .xlsx file to download. No software to install and no signup required.
- Is the KML to Excel converter free?
- Yes — it's completely free with no usage limits, watermarks or account needed. We offer it as a free tool from GeoMaps, the platform for turning your data into interactive maps.
- Is my data private? Are my files uploaded to a server?
- No. The conversion runs entirely in your web browser using JavaScript — your file is never uploaded to any server. Because nothing leaves your device, it's safe for sensitive or confidential data and works even offline once the page has loaded.
- Can I convert Excel back to KML?
- Yes. Use our Excel to KML converter for the reverse conversion — every format on GeoMaps converts both ways.
- Anything to know about Excel output?
- Excel files are read from the first worksheet, and each row needs latitude/longitude columns (or a WKT geometry column). On export, points get longitude/latitude columns and lines or polygons are written to a geometry column as WKT.
- How large a file can I convert?
- Because conversion happens in your browser, the limit is your device's memory rather than a server quota — files up to tens of megabytes convert comfortably on a typical laptop. Very large datasets may be slower depending on your machine.