pix4dmatic interface

Stable version

1.43.2 – April 6, 2023

  • Added the Merge projects feature at the calibration level, for accurately geolocated projects
  • Removed the logic of setting the Internals confidence parameter automatically to High in the Calibrate step when the camera is in the camera database
  • Fixed various crashes
  • Improvements in the Intersection Tie Points (ITPs)
  • Improvements in the polygons
  • Fixed Share to PIX4Dcloud for projects with site calibration
  • Improved exports for the orthomosaic as .jpg and the mesh as .slpk
  • Improved the object occlusion slider
  • Various improvements
  • Added Mesh export as point cloud for Revit users
  • The stable release also includes all features and bug fixes since the previous stable PIX4Dmatic version 1.39.0
Preview new release

1.46.0 – May 23, 2023

Documentation and support are not available.
  • Public release of Open Photogrammetry Format (OPF) 1.0
  • Added image Coordinate Reference System (CRS) picker
  • Added GCG2016 geoid model (Germany) and SLO_VRP2016/Koper geoid model (Slovenia)
  • Added SSO support for subscribed companies
  • Available in Portuguese language
  • Added support for camera models:
  • WINGTRA RGB61_FE24mmF2.8G_24.0_9504x6336
  • DJI M3M_4.3_2592x1944
  • Legacy internals JSON camera database (derived from the PIX4DMapper database) to retrieve internals for generic models
Recommended hardware specifications

Operating system

  • Windows 10 (64 Bit) or above
  • macOS Big Sur (11) or above


  • Hexa-core Intel i7/ i9/ Xeon, AMD Threadripper
  • 64GB RAM (or more)

Hard disk

  • Solid state drive (SSD)


  • GeForce GTX 10 series, RTX series
Ground control point (GCP)

Joint LiDAR and photogrammetry workflow for 3D bridge model

Using specialized handheld hardware for site scanning with RTK accuracy helped capture, process, and vectorize a historic stone bridge.

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dataset example

Example datasets

If you don't have images yet, we have you covered. Download our example datasets and discover the power of PIX4Dmatic.

  • Option 1: industrial zone and agriculture area
  • Option 2: urban area
  • Option 3: PIX4Dcatch project
Get a dataset >
Project Merging

What is new?

Whether you are complementing aerial drone mapping data with terrestrial PIX4Dcatch and viDoc datasets, or documenting a project’s evolution or even reconstructing a collision scene in 3D, you can combine multiple datasets within one master project.

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