CSV to GeoJSONL Converter
Convert CSV (.csv) files to GeoJSONL (.geojsonl) 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 .csv file
or click to browse
How to convert CSV to GeoJSONL
- 1
Add your CSV file
Drag and drop your .csv 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 CSV and rewrites it as GeoJSONL locally, on your device. The conversion is instant and your file is never sent anywhere.
- 3
Download your GeoJSONL
Click download to save the converted .geojsonl file, or copy the output text. That's it — no account, no watermark, no limits.
CSV (comma-separated values) is the universal spreadsheet and database interchange format, opened by Excel, Google Sheets, and every data tool. For mapping it carries one record per row with latitude and longitude columns (plus any attributes). It's the simplest way to get tabular location data onto a map, or to pull mapped data back into a spreadsheet for analysis.
Need the other direction instead? GeoJSONL is newline-delimited GeoJSON — one feature per line. GeoJSONL — also called newline-delimited GeoJSON, NDJSON or GeoJSON Text Sequence (RFC 8142) — writes one GeoJSON feature per line instead of wrapping everything in a single FeatureCollection. That streaming-friendly layout lets tools like Tippecanoe, BigQuery and DuckDB read enormous datasets line by line without loading the whole file into memory. It's the format of choice for large-scale geospatial pipelines.
CSV is row-based and point-centric: each row needs latitude/longitude columns. Lines and polygons are written to a geometry column as WKT rather than as drawn shapes.
What is CSV?
.csvCSV (comma-separated values) is the universal spreadsheet and database interchange format, opened by Excel, Google Sheets, and every data tool. For mapping it carries one record per row with latitude and longitude columns (plus any attributes). It's the simplest way to get tabular location data onto a map, or to pull mapped data back into a spreadsheet for analysis.
What is GeoJSONL?
.geojsonlGeoJSONL — also called newline-delimited GeoJSON, NDJSON or GeoJSON Text Sequence (RFC 8142) — writes one GeoJSON feature per line instead of wrapping everything in a single FeatureCollection. That streaming-friendly layout lets tools like Tippecanoe, BigQuery and DuckDB read enormous datasets line by line without loading the whole file into memory. It's the format of choice for large-scale geospatial pipelines.
CSV to GeoJSONL — FAQ
- How do I convert CSV to GeoJSONL?
- Upload your .csv file using the converter above (drag & drop or click to browse). GeoMaps converts it to GeoJSONL instantly in your browser and gives you a .geojsonl file to download. No software to install and no signup required.
- Is the CSV to GeoJSONL 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 GeoJSONL back to CSV?
- Yes. Use our GeoJSONL to CSV converter for the reverse conversion — every format on GeoMaps converts both ways.
- Anything to know about CSV input?
- CSV is row-based and point-centric: each row needs latitude/longitude columns. Lines and polygons are written to a geometry column as WKT rather than as drawn shapes.
- 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.