PIX4Dmatic highlights 2025
As we reflect on our highlights for the year 2025 we also look forward to the new year, where an exciting announcement will take place early 2026!
This year we delivered improvements such as performance gains (accelerating outputs by up to 300x), improved modeling control the orthomosaic editor and 2D vectorization updates, and enhanced data integration to merge external LiDAR (LAS/LAZ) point clouds.
This rapid development sets the stage for our major product evolution coming early next year—keep reading to see the foundation we built this year, and stay tuned for the announcement!
Combine LiDAR and drone data
A major focus for PIX4Dmatic in 2025 was making it easier to combine data from different sources, like bringing in LiDAR point clouds (LAS/LAZ files). This update significantly simplified workflows: users can now just drag and drop their external LiDAR data right into a project. PIX4Dmatic merges this data, automatically (asking for the correct Coordinate Reference System (CRS) to guarantee detailed precision when blending these different datasets).
This feature allows you to instantly view and analyze LiDAR and photogrammetry together, massively improving the scope and overall accuracy of large-scale mapping projects.
Vectorization
We significantly enhanced the 2D viewer in PIX4Dmatic, making it much easier to draft and create precise vector data. Our full support for polygons, allows you to visualize, create, and edit areas and boundaries quickly and accurately. To improve detail work, we also added the highly requested 3-point method for drawing arcs and circles. This feature lets you define circular objects simply by selecting three points on the edge, ensuring you achieve the detailed precision necessary for professional mapping and asset management.
We also added the ability to lock layers and calculate area properties for closed 2D/3D polylines
Orthomosaic editor
We introduced a powerful new Orthomosaic Editor, giving users more control over final outputs. This feature allows you to manually fine-tune and correct unwanted artifacts (like color inconsistencies or blurring) directly within your final image mosaic for high quality professional deliverables.
Boosted data exchange and formats
We significantly boosted PIX4Dmatic's data exchange capabilities and third-party compatibility by adding support for several new output formats and enhancing camera flexibility. Users can now work with images without EXIF data, ensuring a wider range of cameras and aerial platforms are supported.
For export, we introduced the highly compatible FBX mesh export format for 3D visualization, along with Orthomosaic export without transparency and KML for better GIS integration. Also, volumes can now be exported in CSV and LandXML formats, and users can save geometries as markers across several popular formats, including DXF, SHP, GeoJSON, and CSV.
Enhanced PIX4Dcloud connection
We significantly streamlined and upgraded the PIX4Dcloud integration. To simplify workflow management, we merged the "Share" and "Process" functions into one unified "PIX4Dcloud" dialog. This change makes it much faster and clearer for users to choose exactly where to upload their results—whether to a specific folder, site, or project—directly from PIX4Dmatic.
We also added support for opening PIX4Dcatch's OPF files directly within PIX4Dmatic (viewed above), linking field capture to desktop processing. Additionally, cloud processing gained new versatility: when uploading to PIX4Dcloud, users can now choose Gaussian Splatting as an output option, and they can also share their scalable mesh models directly to the cloud for easy viewing and collaboration.
Site localization
We introduced image-based site localization to streamline project georeferencing. This feature allows users to automatically georeference projects in local (arbitrary) coordinates without needing manual input, simply by recognizing key points in the imagery.
This update is especially valuable for professionals who survey the same site multiple times or have projects with GCPs in an arbitrary CRS. This improvement significantly simplified future ground control point (GCP) marking (as the project data is shown on the 2D basemap, and GCPs can be marked before calibration), ultimately improving the accuracy and repeatability for all subsequent projects.
Polygon-aware DSM generation
For better surface modeling, we introduced new controls during Digital Surface Model (DSM) generation, including "polygon-aware" options to intelligently handle complex features like flattening rooftops or better filling sparse areas, such as water.
Crucially, we also added the "expand area" option for the orthomosaic. This ensures surveyors and collision reconstructionists who need a clean, visually-pleasing final map get full coverage for reporting, especially when low overlap on the edges prevents the region of interest from getting the job done.
LandXML volume calculations
We significantly enhanced earthwork and material analysis by adding the ability to calculate volumes using imported LandXML surfaces. This update streamlined the entire workflow, allowing users to leverage industry-standard surface data directly within the software for quick and accurate volume calculation.
Performance improvements
Performance gains included significantly accelerating the export of Cloud Optimized GeoTIFFs (COG) and sharing outputs to PIX4Dcloud, with speeds up to 300x faster on certain corridor projects. We also added Intel Arc GPU hardware acceleration for orthomosaic generation and improved handling for complex projects, ensuring PIX4Dmatic runs faster and smoother than ever.
What’s next
Keep a close watch for an important announcement in early 2026, PIX4Dmatic is preparing for a big change to improve your workflow. Keep your eyes peeled!
