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CSV to GeoJSON

CSV to GeoJSON Converter

CSV is a plain text table format that becomes geospatial only when rows include coordinates, WKT, or some other geometry-bearing columns. Convert it to GeoJSON locally in your browser, inspect the map preview first, and export the generated files without uploading anything to a server.

Source Format Guide

What is CSV?

CSV is a plain text table format that becomes geospatial only when rows include coordinates, WKT, or some other geometry-bearing columns.

CSV is attractive because almost every spreadsheet, BI tool, script, and database can read it, which makes it one of the easiest tabular handoff formats in data work.

In GIS workflows, CSV usually acts as an entry point or export format rather than a full spatial model because it does not natively encode geometry types, CRS metadata, or topology rules.

Common Workflows

Common use cases

  • Address lists, asset inventories, or sensor records with latitude and longitude columns.
  • QA exports where analysts need to sort and filter records outside a GIS application.
  • Quick imports into scripts, databases, cloud notebooks, or low-code data tools.
Ecosystem

Where you will encounter it

  • Spreadsheet and BI tools.
  • ETL pipelines, scripts, and cloud notebooks.
  • Business review workflows that need tabular delivery first.
Strengths

Why teams choose CSV

  • Very easy to open, inspect, diff, and load into general-purpose tooling.
  • Lightweight file structure works well for automated pipelines.
  • Good bridge format when the audience is not primarily using GIS software.
Limitations

Where CSV gets awkward

  • CSV has no native geometry model, so location must be inferred from columns or embedded text.
  • CRS, styling, topology, and richer feature metadata are not standardized in plain CSV.
  • Multi-geometry or multi-layer datasets are better stored in dedicated geospatial containers.
File Structure

Common file extensions and sidecar files

.csv
Main comma-separated text table containing rows and columns.
latitude / longitude columns
Common convention for point locations when the CSV is used as geospatial input.
WKT or geometry text column
Optional way to carry non-point geometry in a flat table, depending on downstream tooling.
Conversion Rationale

Why convert CSV to GeoJSON?

Teams commonly convert CSV into GeoJSON when they need a web-friendly format that is easy to inspect and debug.

  • Teams convert CSV into GIS-native formats when they need explicit geometry support, CRS handling, or more reliable feature semantics.
  • CSV exports are also commonly converted into map-ready formats so the same records can be previewed and styled spatially instead of only as rows.
  • GeoJSON is readable as plain text and widely supported in web mapping libraries and APIs.
  • It is a practical handoff format when you need to validate geometry and attributes quickly.
FAQ

Frequently asked questions about CSV

Is CSV a real GIS format?

It is a tabular data format first. It becomes useful in GIS only when the file includes coordinates or geometry text that a spatial tool can interpret.

When should I keep data in CSV?

Keep it in CSV when the main task is tabular review, reporting, or lightweight import into general-purpose tools rather than spatial analysis.

Why convert CSV to GeoJSON or GeoPackage?

Those formats make geometry explicit, preserve spatial context better, and are easier to preview on a map without guessing which columns represent location.

Related Converters

More CSV conversion paths