Excel to KML Converter
Convert Excel (.xlsx) files to KML (.kml) 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 .xlsx file
or click to browse
How to convert Excel to KML
- 1
Add your Excel file
Drag and drop your .xlsx file onto the box above, or click to browse.
- 2
Convert in your browser
GeoMaps reads the Excel and rewrites it as KML locally, on your device. The conversion is instant and your file is never sent anywhere.
- 3
Download your KML
Click download to save the converted .kml file, or copy the output text. That's it — no account, no watermark, no limits.
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.
Need the other direction instead? KML is google Earth's XML format for placemarks and overlays. 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.
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 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.
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.
Excel to KML — FAQ
- How do I convert Excel to KML?
- Upload your .xlsx file using the converter above (drag & drop or click to browse). GeoMaps converts it to KML instantly in your browser and gives you a .kml file to download. No software to install and no signup required.
- Is the Excel to KML 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 KML back to Excel?
- Yes. Use our KML to Excel converter for the reverse conversion — every format on GeoMaps converts both ways.
- Anything to know about Excel input?
- 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.