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🌍 GeoSnap - Pinpoint Photo Locations Easily

Download GeoSnap


GeoSnap is a photo geolocation app. You upload a photo, and the AI analyzes its content. It finds visual clues like landmarks or landscape features. Then it shows where the photo was taken on a detailed map. It uses Node.js for backend tasks, Gemini Vision AI for image analysis, and Leaflet.js for mapping.

This guide helps you get GeoSnap on your Windows computer. No programming skills are needed.

⚙️ System Requirements

  • Windows 10 or later (64-bit)
  • At least 4 GB of RAM
  • 500 MB of free disk space
  • Internet connection for AI processing
  • A modern web browser (Chrome, Firefox, Edge, or similar)

🚀 How to Get GeoSnap

Click the big green button above or this link to visit the download page:

Download GeoSnap

You will find the latest version of the app there. The package contains everything needed to run GeoSnap on Windows.

📥 Download and Install Guide

  1. Visit the Download Page
    Open the link above in your web browser. You will see the GeoSnap repository page on GitHub.

  2. Find the Latest Release
    Look for a section called "Releases" or "Download". It usually appears on the right side or near the top of the page.

  3. Download the Windows Package
    Click the download link for the Windows version. It might be a file ending with .exe or .zip. If you see both, prefer the .exe for easier installation.

  4. Run the Installer / Extract Files

    • If you downloaded an .exe file, double-click it to start installation.
    • If you downloaded a .zip file, right-click it and select "Extract All". Then open the extracted folder.
  5. Follow the On-Screen Steps
    The installer will guide you. Accept the default options unless you want to change the install folder.

  6. Wait for Installation
    This may take a few minutes depending on your system speed.

  7. Launch GeoSnap
    After installation completes, find the GeoSnap icon on your desktop or start menu and double-click it.

🖼️ Using GeoSnap for the First Time

  1. Open GeoSnap
    When you launch it, you will see a simple screen with an upload button.

  2. Upload a Photo
    Click "Upload Photo" and pick any image from your computer. GeoSnap works best with outdoor photos that have clear landmarks or scenery.

  3. Wait for Analysis
    The AI will process your photo. This may take from a few seconds to a minute.

  4. View the Location
    GeoSnap shows you an interactive map. A marker points to where it believes the photo was taken. You can zoom in and move the map to explore.

  5. Explore Features

    • Click the marker for more info.
    • Upload more photos to compare locations.
    • Use the map tools to adjust your view.

🧰 Features Overview

  • AI Image Analysis: Uses Gemini Vision AI to detect landmarks.
  • Interactive Map: Shows location on a Leaflet.js map.
  • Easy Upload: Drag-and-drop or file dialog for your photos.
  • Multiple Photos: Compare locations of several photos in one session.
  • Simple Interface: Designed for users without tech knowledge.
  • Offline View: After initial analysis, the map works offline for zoom and pan.

🔧 Common Issues and Solutions

  • Photo Upload Fails: Check your internet connection. GeoSnap needs it to analyze photos.
  • Map Does Not Load: Make sure your browser or internet is working correctly.
  • Slow Analysis: Large images take longer. Try resizing photos under 5 MB.
  • No Location Found: Try a different photo with clearer landmarks.
  • App Won't Start: Restart your computer and try again.

⚡ Tips for Best Results

  • Use photos with visible landmarks, buildings, or natural features.
  • Avoid blurry or very dark images.
  • Take photos from outdoors if possible.
  • Use JPEG or PNG format.
  • Keep file sizes manageable.

🔗 More Resources

For updates or support, always visit the main project page:

GeoSnap on GitHub

This page also has links to documentation, issue reports, and future releases.


Download GeoSnap

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Pinpoint the exact location of any photo using AI that analyzes visual clues like signs, architecture, and language for precise geolocation.

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