SHARE3DCAM has officially released SHARE PointClouds Studio 2.5, a major software update featuring an upgraded AI Engine and a more connected workflow for renovation measurement, scan processing, point cloud reconstruction, 3DGS reconstruction, CAD draft generation, and deliverable preparation.

Built as companion processing software for SHARE handheld LiDAR scanners, SHARE PointClouds Studio helps users move from field capture to project-ready data inside the SHARE3DCAM workflow. The latest release strengthens this workflow with CAD floor plan generation, section generation, editing and drawing capabilities, improved point cloud filtering, faster dynamic object removal, enhanced colorization speed, RCS export, cross-section extraction, model transformation tools, and a more integrated 3DGS reconstruction path.

For renovation, fit-out, interior design, and AEC project teams, the value of scanning does not end when the site visit is finished. Field data becomes useful only when it can be reviewed, corrected, communicated, exported, and used in downstream project workflows. SHARE PointClouds Studio 2.5 is designed to make this process more connected, helping teams move more efficiently from scan data to CAD drafts, 3DGS visualization, point cloud review, and project deliverables.

CAD Draft Generation Connects Scan Data to Drawing Workflows

One of the most practical updates in SHARE PointClouds Studio 2.5 is CAD draft generation. The software now supports CAD floor plan generation, section generation, and editing/drawing capabilities, allowing users to generate CAD drawings directly from point cloud data and continue refining them after generation.

One of the most practical updates in SHARE PointClouds Studio 2.5 is CAD draft generation. The software now supports CAD floor plan generation, section generation, and editing/drawing capabilities, allowing users to generate CAD drawings directly from point cloud data and continue refining them after generation.

The update also supports exporting point clouds in RCS format, enabling point cloud data to be imported into AutoCAD workflows. This helps renovation and AEC teams connect field capture more directly with downstream drawing and documentation work.

It is important to set the right expectation: these CAD outputs are draft floor plans and section drawings designed for tracing, correction, editing, and completion. Complex layouts, occlusion, irregular structures, curved walls, dense furniture, and full construction-document requirements may still require professional manual refinement. This makes the feature especially valuable for renovation measurement, as-built reference, design review, and draft acceleration, without overclaiming it as one-click final construction documentation.

Cleaner Point Clouds for More Usable Site Data

The upgraded AI Engine improves point cloud filtering and scene quality, including the ability to reduce false-wall artifacts caused by mirror reflections. This is particularly relevant for renovation and interior environments, where glass, mirrors, metal surfaces, and reflective finishes can make raw point cloud cleanup more difficult.

Point cloud data in SHARE PointClouds Studio

For project teams, cleaner point cloud data can reduce the burden of manual review and provide a more stable data foundation for measurement, documentation, and downstream processing. Combined with improved SLAM accuracy and optimization of layering issues in certain scenarios, the update is designed to make captured spatial data more reliable and easier to use after the scan is complete.

Faster Dynamic Object Removal for Active Jobsites

Renovation and construction sites are often active environments. People move through the site, equipment changes position, and capture conditions are rarely perfect.

Comparison of dynamic object filtering and person segmentation

SHARE PointClouds Studio 2.5 improves dynamic object removal speed, helping users produce cleaner 3D data even when a site cannot be fully cleared before scanning. This makes the workflow more suitable for real jobsites rather than idealized demo conditions, supporting more efficient field capture and post-processing.

Improved Point Cloud Colorization

The updated algorithm engine also improves point cloud coloring speed. For renovation, fit-out, and interior documentation workflows, colorized point clouds can help teams interpret site conditions more intuitively, identify spatial relationships more clearly, and communicate real site information more effectively.

Comparison of point cloud colorization algorithms

Color is not only a visual enhancement. In many workflows, it helps users review site details, understand material and room relationships, and communicate conditions with stakeholders who may not be familiar with raw point cloud data.

Point Cloud and 3DGS Work Together as Complementary Outputs

SHARE PointClouds Studio 2.5 optimizes the 3DGS workflow entry point by integrating it into the data processing stage, enabling simultaneous point cloud reconstruction and 3DGS reconstruction.

In this workflow, point cloud data serves as the structured spatial layer for measurement, slicing, CAD generation, coordinate adjustment, and engineering delivery. 3DGS provides a more intuitive visual layer for realistic site reproduction, remote review, customer presentation, and construction communication.

For renovation teams, this combination is meaningful. Point clouds provide measurable geometry and project-grade reference data, while 3DGS helps non-technical stakeholders understand the site more visually. Together, they help bridge measurement, design coordination, client communication, and delivery review.

More Tools for Data Review and Preparation

Beyond CAD, filtering, dynamic object removal, and 3DGS, SHARE PointClouds Studio 2.5 also adds GPU memory and system memory estimation before data processing, cross-section extraction, move and rotate functions for point cloud models, and an enhanced measurement tool with a magnifier for faster and more accurate point selection.

Data verification of draft CAD drawing with point cloud underlay

These improvements are designed to make the workflow more practical from the moment scan data enters the desktop software. Users can better understand processing requirements, extract slices from point clouds, transform and align point cloud models, and position measurement points more efficiently.

From Scan to Deliverable

SHARE PointClouds Studio 2.5 strengthens SHARE3DCAM's capture-to-data workflow: field scanning, point cloud reconstruction, AI-supported processing, CAD draft generation, 3DGS visualization, review, export, and downstream delivery.

For renovation designers, fit-out contractors, interior engineering teams, and AEC delivery managers, the value is simple: clearer spatial data, faster preparation of draft outputs, improved visual communication, and a more connected digital workflow from measurement to delivery.

Learn more about SHARE PointClouds Studio 2.5

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