Free CSV to KML Converter Tool – Convert Location Data to Google Earth Format
Transform your CSV files containing location data into KML format instantly with our free, browser-based converter. Perfect for creating custom Google Earth files, mapping projects, and geospatial data visualization.
Need to generate a KML file from scratch? Try our free KML creator
Why Convert CSV to KML?
KML (Keyhole Markup Language) is the standard format for displaying geographic data in Google Earth, Google Maps, and other mapping applications. Converting your CSV location data to KML allows you to:
- Visualize data in Google Earth: Import your points directly into Google Earth for 3D visualization
- Create custom maps: Generate interactive maps with your specific location data
- Share geographic information: Easily distribute location data in a universal format
- Enhance presentations: Add professional mapping elements to reports and presentations
- Analyze spatial patterns: Better understand geographic relationships in your data
CSV to KML Converter
Upload a CSV, preview on the map, and download styled KML. Fully client-side.
Field mapping
KML styling
Export
How to Use the CSV to KML Converter
Step 1: Prepare Your CSV File
Ensure your CSV file contains location data with coordinates. Your file should include:
- Latitude column: Values between -90 and 90 degrees
- Longitude column: Values between -180 and 180 degrees
- Optional name column: Descriptive labels for each point
- Optional description column: Additional details for each location
Supported coordinate formats:
- Decimal degrees (recommended):
40.7128, -74.0060 - Standard GPS format:
40.7128° N, 74.0060° W
Step 2: Upload Your CSV File
- Click “Choose File” and select your CSV file
- The tool automatically detects common column names like:
- Latitude:
lat,latitude,y,y_coord - Longitude:
lon,lng,longitude,x,x_coord - Name:
name,title,label,id - Description:
description,desc,info,notes
- Latitude:
Step 3: Map Your Columns
If auto-detection doesn’t work perfectly:
- Select Latitude Column: Choose the column containing latitude values
- Select Longitude Column: Choose the column containing longitude values
- Select Name Column: (Optional) Choose descriptive labels for map points
- Select Description Column: (Optional) Choose additional information for each point
Step 4: Customize Your KML Styling
Personalize your KML file appearance:
- Point Color: Choose from any color using the color picker
- Icon Scale: Adjust marker size (0.2x to 3x)
- Icon URL: Use custom icons or stick with the default Google Earth pushpin
- KML Name: Set a descriptive name for your file
Step 5: Preview and Export
- Click “Preview / Refresh Map” to see your data plotted on the interactive map
- Verify all points appear correctly positioned
- Click “Download KML” to save your file
- Import the KML file into Google Earth, Google Maps, or your preferred mapping application
Example CSV Format
name,latitude,longitude,description
Statue of Liberty,40.6892,-74.0445,Famous landmark in New York Harbor
Empire State Building,40.7484,-73.9857,Iconic skyscraper in Manhattan
Central Park,40.7829,-73.9654,Large public park in Manhattan
Supported File Formats and Requirements
CSV File Requirements:
- File extension:
.csv - Encoding: UTF-8 recommended
- Headers: First row should contain column names
- Coordinate system: WGS84 (standard GPS coordinates)
- File size: No strict limit (browser-dependent)
Generated KML Features:
- Standard KML 2.2 format
- Custom styling with colors and scaling
- Placemark names and descriptions
- Compatible with Google Earth, Google Maps, ArcGIS, QGIS
Frequently Asked Questions (FAQ)
General Questions
Q: Is this CSV to KML converter free to use? A: Yes, our converter is completely free. There are no hidden fees, registration requirements, or usage limits.
Q: Do I need to install any software? A: No installation required. The converter runs entirely in your web browser using modern web technologies.
Q: Is my data secure? A: Absolutely. All processing happens locally in your browser. Your CSV files are never uploaded to our servers, ensuring complete privacy and security.
Q: What browsers are supported? A: The tool works in all modern browsers including Chrome, Firefox, Safari, and Edge (version 90+).
File Format Questions
Q: What if my CSV doesn’t have standard column names? A: No problem! You can manually map any columns to latitude and longitude using our dropdown menus. The tool accepts any column names.
Q: Can I convert files with thousands of locations? A: Yes, the tool can handle large datasets. Performance depends on your browser and device capabilities, but files with several thousand points typically process smoothly.
Q: What coordinate formats are supported? A: The tool accepts decimal degrees format (e.g., 40.7128, -74.0060). If your data uses degrees/minutes/seconds format, you’ll need to convert to decimal degrees first.
Q: Why aren’t my points showing up on the map? A: Check that:
- Latitude values are between -90 and 90
- Longitude values are between -180 and 180
- Coordinates use decimal format with periods (not commas)
- The correct columns are selected for latitude and longitude
KML Output Questions
Q: Can I customize the appearance of my KML points? A: Yes! You can adjust:
- Point color using the color picker
- Icon size with the scale slider
- Icon style by providing a custom icon URL
- Point names and descriptions from your CSV data
Q: Will my KML file work in Google Earth? A: Absolutely. Our tool generates standard KML 2.2 format files that are fully compatible with Google Earth, Google Earth Pro, and Google Earth Web.
Q: Can I use the KML file in other mapping software? A: Yes, KML is a standard format supported by most GIS and mapping applications including ArcGIS, QGIS, MapInfo, and many online mapping platforms.
Q: How do I import the KML file into Google Earth? A: Open Google Earth, go to File > Open, and select your downloaded KML file. Your points will appear on the globe with the styling you specified.
Troubleshooting
Q: The tool says “Failed to parse CSV” – what’s wrong? A: This usually means:
- The file isn’t a valid CSV format
- Special characters in the file are causing issues
- The file is corrupted or empty Try saving your file as CSV (UTF-8) from Excel or Google Sheets.
Q: My points appear in the wrong locations. A: Double-check that:
- Latitude and longitude columns aren’t swapped
- Negative signs are preserved for coordinates in the Southern or Western hemispheres
- No extra spaces or characters are in the coordinate fields
Q: The map preview isn’t showing. A: Ensure:
- JavaScript is enabled in your browser
- You’re using a modern browser
- No browser extensions are blocking the mapping functionality
- Try refreshing the page and uploading your file again
Q: Can I convert KML back to CSV? A: This tool only converts CSV to KML. For reverse conversion, you’ll need a different tool or manually extract data from the KML file.
Technical Questions
Q: What technologies power this converter? A: The tool uses:
- PapaParse for CSV processing
- Leaflet for interactive mapping
- Standard browser APIs for file handling
- Pure JavaScript (no server processing required)
Q: Why is processing so fast? A: Since everything runs in your browser, there’s no need to upload files to a server. The conversion happens instantly on your device.
Common Use Cases
Real Estate Professionals
Convert property listings with addresses and coordinates into KML for Google Earth tours and marketing presentations.
Research and Academia
Transform field research data, survey locations, or study sites into visual maps for papers and presentations.
Business and Marketing
Map customer locations, store locations, or service areas for business analysis and planning.
Event Planning
Create location maps for venues, accommodations, and points of interest for conference attendees or wedding guests.
Travel and Tourism
Convert itineraries, points of interest, or travel routes into interactive maps for trip planning.
Emergency Services
Map incident locations, resource positions, or evacuation routes for emergency response planning.
Tips for Best Results
- Clean your data first: Remove empty rows and ensure coordinates are properly formatted
- Use descriptive names: Good point names make your KML more useful
- Include descriptions: Add context with description fields for richer mapping
- Test coordinates: Verify a few coordinates manually before bulk conversion
- Choose appropriate colors: Consider your background map when selecting point colors
- Keep file sizes reasonable: Very large files may slow down mapping applications
