Download and install the latest version of Filestar.
Right click on one or more Csv file(s) on your desktop and select Convert with Filestar.
Type convert to geojson in the search box.
Press Convert.
Or let an AI agent do it: filestarcli -i file.csv -c "convert to geojson" (how).
Documents - File Explorer─☐✕
This PC › Documents
Home
Desktop
Downloads
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Pictures
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.csvContract.csv
.xlsxBudget.xlsx
.pdfReport.pdf
.pngLogo.png
Filestar*Help✕
Drop files here to get started
ConvertMergeCompressExtractMoveZip
Let your AI agent convert CSV to GEOJSON
Claude Code, Codex, Cursor and other agents can do this on your computer with Filestar. Your files stay on your machine.
Install Filestar and add it to your agents:
npm install -g filestar
filestarcli agent install
Then ask your agent:
“Convert the CSV files in my Downloads folder to GEOJSON”
Or run it yourself:
filestarcli -i file.csv -c "convert to geojson"
Runs on your computer, so your files stay on it. Works on Windows, macOS and Linux. 50 free conversions with the npm install, no account needed.
Can my AI agent convert CSV to GEOJSON?
Yes. Install the Filestar CLI with npm install -g filestar and your agent can run filestarcli -i file.csv -c "convert to geojson" on your computer, so your files stay on it.
A CSV file is a comma separated values file commonly used by spreadsheet programs such as Microsoft Excel or OpenOffice Calc. It contains plain text data sets separated by commas with each new line in the CSV file representing a new database row and each database row consisting of one or more fields separated by a comma. CSV files are often opened by spreadsheet programs to be organized into cells or used for transferring data between databases.
A GeoJSON file is a format for encoding a variety of geographic data structures using JavaScript Object Notation (JSON). It is a widely used open standard format designed for representing simple geographical features, along with their non-spatial attributes. GeoJSON supports various geographical data types such as points, lines, polygons, and multi-part collections of these types. It is commonly used for storing and exchanging spatial data on the web, as well as within various Geographic Information Systems (GIS).
