Skip to content
English
  • There are no suggestions because the search field is empty.

🌍 How to Import a Project from Google Network Planner into eino.ai

This guide walks you through importing a project exported from Google Network Planner (GNP) into eino.ai. Whether you're using a GNP ZIP file or starting from CSV or boundary data, you'll have a ready-to-edit 3D project in minutes.

πŸ” Step 1: Export the Project from Google Network Planner

  • In Google Network Planner, create a new report.

  • Export the project β€” this gives you a ZIP file containing all necessary data.


πŸ“₯ Step 2: Upload the ZIP File to eino.ai

  • In the eino.ai dashboard, click Import Project Archive.

  • Upload your exported ZIP file.

  • Next, select an Access Point (AP) model to use for the import.

πŸ“ Note:
Google Network Planner doesn’t define specific APs, so you must choose one that’s compatible with the band configuration from your original project.
For example, if your GNP design used LTE bands, choose an AP model that supports LTE.


βš™οΈ Step 3: Project Generation (Automatic)

  • The platform processes the file and builds the project in the background.

  • This usually takes 30 seconds to 1 minute, depending on project size.

  • Once ready, the project becomes clickable and fully interactive.


βœ… Step 4: Review the Imported Project

  • Open the project to access:

    • Your APs with full configuration details

    • The automatically defined area of interest

    • All 3D data including terrain, buildings, and clutter


πŸ“„ Optional: Import via CSV or Boundary Files

If you don’t have the ZIP file from GNP:

  • Upload a CSV with your AP or site list
    β†’ The platform will auto-detect the area of interest based on AP locations

  • Upload a boundary file (e.g., KML, KMZ, GeoJSON)
    β†’ eino.ai will generate the full project and allow you to place APs manually afterward

πŸ—ΊοΈ Either method still provides access to elevation, building, and vegetation data in 3D.


πŸš€ You're Done

Once imported, your project is ready for editing, analysis, and reporting β€” just like any project built natively in eino.ai.