PyMapStitcher 3 CUDA Maps Downloader · GeoTIFF · BigTIFF · Desktop Workflow
Large-area satellite map stitching

PyMapStitcher

A low-RAM CUDA map downloader and stitching workspace for very large satellite areas, georeferenced exports, and high-resolution GIS-ready output.

GPU accelerated GeoTIFF / BigTIFF High-resolution maps
PyMapStitcher promotional banner

About

Built for large-area remote sensing and mapping workflows where typical map downloaders often hit memory limits.

PyMapStitcher 3 is a desktop application for downloading, stitching, and exporting very large satellite map areas as georeferenced GeoTIFF or BigTIFF files. It focuses on reliable large outputs, CUDA-assisted workflows, and clean GIS-ready export.

Main features

Fast tile downloading, low-RAM stitching, high-resolution export, and a practical desktop workflow.

  • Interactive satellite map area selection
  • Large-area map tile downloading
  • Low-RAM stitching workflow
  • NVIDIA CUDA / CuPy acceleration support
  • GeoTIFF and BigTIFF export
  • Embedded georeferencing with EPSG:3857 workflows
  • PySide6 desktop interface
  • Portable / offline installer workflow

Install from PyPI

Install and start directly with Python.

py -m pip install --upgrade pip
py -m pip install pymapstitcher
pymapstitcher

Download

Installers for Windows, Microsoft Store, Linux, Snap Store, and macOS.

Windows offline installer

Recommended Windows .EXE setup.

Download EXE

Microsoft Store

Install PyMapStitcher directly from the Microsoft Store.

Linux .deb installer

Debian / Ubuntu package for amd64 systems.

Download DEB

Snap Store

Install PyMapStitcher from Snapcraft.

Get it from the Snap Store

All releases

Latest installers, release files, and older versions.

Open Releases

Scientific archive

Permanent Zenodo DOI reference.

DOI: https://doi.org/10.5281/zenodo.20480746

README

Full project description, download links, installation notes, and feature list.

The full documentation is maintained in the GitHub README.

PyMapStitcher 3 is built for huge map areas, low-RAM stitching, CUDA acceleration, and GIS-ready exports.
PyMapStitcher screenshot