WKT to CSV Converter
Convert WKT (.wkt) files to CSV (.csv) 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 .wkt file
or click to browse
How to convert WKT to CSV
- 1
Add your WKT file
Drag and drop your .wkt 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 WKT and rewrites it as CSV locally, on your device. The conversion is instant and your file is never sent anywhere.
- 3
Download your CSV
Click download to save the converted .csv file, or copy the output text. That's it — no account, no watermark, no limits.
WKT (Well-Known Text) is the OGC standard text representation of geometry — POINT, LINESTRING, POLYGON and their multi- variants — used throughout spatial databases like PostGIS, MySQL and SQL Server, and in SQL queries. It describes geometry only, one shape per line, which makes it perfect for pasting features into a database or pulling geometry out of one.
Need the other direction instead? CSV is spreadsheet rows with latitude / longitude columns. 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.
WKT encodes geometry only — feature attributes/properties are not part of the format and are dropped on conversion to WKT.
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 WKT?
.wktWKT (Well-Known Text) is the OGC standard text representation of geometry — POINT, LINESTRING, POLYGON and their multi- variants — used throughout spatial databases like PostGIS, MySQL and SQL Server, and in SQL queries. It describes geometry only, one shape per line, which makes it perfect for pasting features into a database or pulling geometry out of one.
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.
WKT to CSV — FAQ
- How do I convert WKT to CSV?
- Upload your .wkt file using the converter above (drag & drop or click to browse). GeoMaps converts it to CSV instantly in your browser and gives you a .csv file to download. No software to install and no signup required.
- Is the WKT to CSV 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 CSV back to WKT?
- Yes. Use our CSV to WKT converter for the reverse conversion — every format on GeoMaps converts both ways.
- Anything to know about WKT input?
- WKT encodes geometry only — feature attributes/properties are not part of the format and are dropped on conversion to WKT.
- Anything to know about CSV output?
- 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.