Convert GML to CSV Online — Free & Instant
Extracting GML data to CSV makes government and WFS datasets accessible in Excel, Google Sheets, and Python. Maparz exports X and Y geometry columns alongside all GML feature attributes, giving non-GIS users access to the data from INSPIRE portals and WFS services.
File converter
When to convert GML to CSV
- Sharing WFS GML point data with colleagues who use Excel
- Loading INSPIRE GML data into pandas for data analysis
How to convert GML to CSV
- 1
Upload your GML
Drop your .gml file on the upload zone.
- 2
Select CSV
Click CSV in the format panel.
- 3
Open in Excel
The CSV includes X, Y, and all attribute columns from the GML.
About GML
Geography Markup Language (GML) is an XML-based OGC standard for encoding geographic features. It is the mandatory format for the EU INSPIRE directive and is commonly used in Web Feature Services (WFS) to deliver geospatial data over the web. GML files are highly interoperable across GIS platforms and are natively supported by GDAL, QGIS, ArcGIS, and GeoServer. GML can represent complex geometries, coordinate reference systems, and rich attribute schemas, making it the format of choice for authoritative government and infrastructure datasets.
Strengths
- +OGC standard — maximum interoperability
- +Mandatory for EU INSPIRE datasets
- +Supports complex geometries and CRS metadata
- +Native support in QGIS, ArcGIS, and GeoServer
About CSV
CSV (Comma-Separated Values) files containing geometry data typically include latitude and longitude columns (or X/Y columns for projected data). Many data providers distribute point datasets as CSV because they are easy to open in Excel, Python, and R. When converting from a vector format to CSV, Maparz outputs an X (longitude) and Y (latitude) column along with all attribute data. To convert CSV to GeoJSON, your file must have columns identifiable as longitude (x, lon, lng, longitude) and latitude (y, lat, latitude).
Strengths
- +Opens in Excel, Google Sheets, any spreadsheet
- +Human-readable and editable
- +Lightweight for point data
Frequently asked questions
Q.Is CSV suitable for polygon GML data?
CSV is best for point data. For polygon GML, use GeoJSON or Shapefile to preserve the full geometry.