GIS

KML → SHP

Convert your KML files to SHP format effortlessly using our tool. This conversion is essential for GIS professionals transitioning from lightweight web-based mapping to robust desktop spatial analysis.

KML (Keyhole Markup Language) is an XML-based format primarily designed for displaying geographic data in Google Earth. In contrast, SHP (Shapefile) is a more complex, multi-file vector format used by professional GIS software like ArcGIS or QGIS for advanced data manipulation. When you convert KML to SHP, our engine translates the XML structure into the binary format of a Shapefile, preserving spatial coordinates and metadata attributes while ensuring compatibility with professional mapping environments.

The conversion is entirely lossless; your geographical coordinates and attribute data remain perfectly intact throughout the process.

Tips

Ensure your KML file contains standard geometry types like points, lines, or polygons before converting.
Remember that a Shapefile consists of multiple files (.shp, .shx, .dbf); download the full archive to ensure it opens in your GIS software.
Remove unnecessary HTML tags from KML description fields to keep your resulting attribute table clean.

Common use cases

Moving data from Google Earth 'My Maps' into QGIS for professional cartographic layout.
Integrating web-collected GPS tracks into a larger enterprise geodatabase.
Preparing spatial data for topological analysis that requires the robust structure of a Shapefile.

Why ConvertX stays free — forever

We built this project so anyone can convert files without paywalls, accounts, or hidden limits. Here is what that promise means in practice.

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Free tools today — and always

Every converter on ConvertX is free to use: no trials, no premium tiers, and no credit packs. We will never put core conversion features behind a subscription. Whether you convert one photo or a hundred files a week, the price stays zero.

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Privacy-first processing

Many image, audio, and video conversions run entirely in your browser. Your files never leave your device for those jobs. When server processing is required for documents or specialized formats, uploads are handled securely and removed automatically — typically within one hour.

File formats: what to choose

A quick guide to strengths and trade-offs of popular formats — so you pick the right one before converting.

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GIS & maps

Geographic and spatial data layers.

Common extensions: GeoJSON, KML, SHP, GPX, GPKG

Advantages

+ GeoJSON is native to web maps
+ KML works with Google Earth
+ Shapefiles are common in GIS workflows

Disadvantages

− SHP needs multiple sidecar files
− Coordinate systems must match the target
− Large datasets need simplification

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Images

Raster and vector graphics for web, print, and photography.

Common extensions: PNG, JPG, WebP, AVIF, GIF, SVG, HEIC, TIFF

Advantages

+ WebP and AVIF offer excellent compression for the web
+ PNG keeps transparency and sharp edges
+ SVG scales without quality loss

Disadvantages

− RAW and TIFF files are large and slow to share
− JPEG loses quality on every re-save
− Some formats are not supported in older browsers

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Documents

Office files, PDFs, ebooks, and plain text.

Common extensions: PDF, DOCX, XLSX, PPTX, ODT, EPUB, TXT

Advantages

+ PDF locks layout for printing and sharing
+ DOCX and ODT are easy to edit collaboratively
+ Plain text works on any device

Disadvantages

− PDF is hard to edit without special tools
− Complex layouts may shift after conversion
− Scanned PDFs need OCR for editable text

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Video

Clips, streams, screen recordings, and movies.

Common extensions: MP4, WebM, MOV, MKV, AVI, MPEG

Advantages

+ MP4 (H.264/H.265) plays almost everywhere
+ WebM is efficient for web embedding
+ MKV can hold multiple audio and subtitle tracks

Disadvantages

− High-resolution video needs lots of storage and bandwidth
− Re-encoding always takes time and may reduce quality
− Some codecs require licensing for commercial use

Frequently asked questions

No, the conversion is lossless, meaning the geometric precision of your spatial data is preserved exactly as it was in the original KML.

While the coordinate data remains the same, the internal structure changes from an XML-based text format to a binary format, which causes minor fluctuations in file size.

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