Skip to main content
All CollectionsFAQGeneral
How to use supported formats in Birdi
How to use supported formats in Birdi
Kayley Greenland avatar
Written by Kayley Greenland
Updated over 4 months ago

Birdi is designed to handle a variety of geospatial data formats to ensure a comprehensive analysis and visualization experience. Below is a guide to the supported formats and their respective capabilities within the Birdi platform:

1. 3D Models

  • Supported Formats: .obj, .fbx

  • Note: 3D models in .obj and .fbx formats are currently not visualized on the map view. This feature is in development and will be available in future updates.

2. Images

  • Supported Formats: .jpg, .jpeg

  • Usage: Standard image formats are fully supported and can be used for visualizing and annotating imagery.

3. Orthophoto / Raster

  • Supported Formats: .tiff, .ecw

  • Usage: Orthophotos and raster images can be effectively visualized on the map view, providing detailed aerial and satellite imagery.

4. Pointcloud

  • Supported Formats: .las, .laz

  • Usage: Pointcloud data formats are supported, allowing for the visualization and analysis of 3D point data from laser scans.

5. Raw Image

  • Supported Formats: .raw

  • Usage: Raw image formats are supported for detailed image analysis and processing.

6. Reports

  • Supported Formats: .pdf, .doc, .txt, .xls, .csv

  • Usage: Various report formats can be uploaded and accessed, supporting diverse documentation and data analysis needs.

7. Vector

  • Supported Formats: .shp, .kml, .geojson

  • Note: Formats such as .dxf, .dwg, and .dgn are currently not visualized on the map view. Support for these formats is in development and will be added in future updates.

8. Video

  • Supported Formats: .mp4, .mov

  • Usage: Video formats are supported for playback and integration within the platform.

For any format not currently supported or if you have specific needs, please reach out to our support team. We are continually working on expanding our format compatibility to enhance your geospatial data management experience.

Did this answer your question?