Convert FlatGeobuf to CSV Online — Free & Instant
Extracting FlatGeobuf data to CSV makes it accessible in Excel, Google Sheets, and Python. This is useful when sharing FlatGeobuf-format geospatial data with analysts or stakeholders who work in spreadsheet tools rather than GIS applications.
File converter
When to convert FlatGeobuf to CSV
- Sharing FlatGeobuf point data with non-GIS colleagues via CSV
- Loading FlatGeobuf data into pandas for data science analysis
How to convert FlatGeobuf to CSV
- 1
Upload your FlatGeobuf
Drop your .fgb 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.
About FlatGeobuf
FlatGeobuf is a modern, high-performance binary format for geospatial vector data, designed for efficient streaming and cloud-native workflows. Based on FlatBuffers, it supports random access via HTTP range requests, making it ideal for serving large datasets directly from object storage like S3 without a tile server. FlatGeobuf is an OGC Community Standard and is supported by GDAL 3.1+, QGIS, Mapbox, and the GeoJSON ecosystem. Its compact binary encoding is significantly faster to parse than GeoJSON for large datasets.
Strengths
- +Extremely fast read/write — binary encoding
- +Supports HTTP range requests for cloud-native access
- +OGC Community Standard
- +Compact — much smaller than equivalent GeoJSON
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 FlatGeobuf data?
CSV is best for point data. For polygon data, use GeoJSON or Shapefile to preserve full geometry.