Export Options

Point Clouds

Every point is a real measurement. Millions of them, captured in 3D space, forming an digital record of the physical world you can build, plan, and present from.

Ready to use & vendor neutral

MAVO 3D point clouds come pre-cleaned and aligned. During scanning, filtering and registration run in real-time. Back at the office, you can run a post-scan loop closure correction to reduce drifts. This step usually takes a bit longer, but is fully automated and recommended to sharpen the 3D model output. When you’re done, export your scan in the vendor-neutral format of your choice.

Why is ventor neutrality so important?

Your scan data should work everywhere, today and in the future. Open standards aren’t controlled by any single company, so you can import your 3D data into cloud platforms, CAD tools, and other software without worrying about lock-in or format obsolescence.

Streamlined workflow

Export directly to your design software, from site survey to finished design. Need help getting started? Check out our tutorials. We offer a variety of point cloud export formats, mesh exports will be available in a next major release.

Perfect base for CAD work

Import raw data as a layer into your design software and build accurate 3D models with true-to-scale insights for precise measurements and detailed documentation.

Available export formats:

E57

The industry-standard open format for 3D point cloud data exchange, defined by the ASTM E2807 standard and maintained by an independent international committee.

E57 is vendor-neutral by design, making it the most reliable format for interoperability across scanning hardware and software platforms.

Beyond spatial coordinates, intensity, and color, it uniquely supports embedded calibrated panoramic imagery and full scan metadata, including scanner positions and coordinate reference systems, in a single file.

Its hybrid XML/binary architecture keeps file sizes compact while preserving human-readable metadata.

It is also suitable for direct import to leading architectural software like Archicad, reality and spatial modeling solutions like ContextCapture from Bentley Systems, cloud platforms like ATIS.cloud, and 3D point cloud processing software CloudCompare.

E57 is the preferred format for terrestrial and mobile scanning workflows where rich scan context, multi-sensor data, and long-term archivability matter.

LAS

Another common open standard. It dominates large-scale airborne LiDAR and analytical workflows, because of its maturity and scalability. It is also suitable to import in Potree. Potree is a free open-source WebGL based point cloud renderer for large point clouds.

PLY (Polygon File Format)

An open mesh file format for 3D polygons, originally developed at Stanford University and vendor-neutral by design. It is mostly used in 3D scanning, point cloud workflows, and research contexts. PLY supports flexible geometry and Gaussian Splats, but lacks native compression. This results in large file sizes, that make it unpractical for web streaming or real-time delivery.

Suitable for import to Blender and MeshLab. This file type is also available in the free plan.

PCD (Point Cloud Data)

As the name already suggests it is a point cloud file format and is developed by the Point Cloud Library (PCL).

It is designed specifically for storing and processing 3D point cloud data. It supports both ASCII and binary encoding, flexible data types, and organized point cloud structures. This makes it well-suited for robotics, computer vision, and LiDAR workflows. Like PLY, it lacks native compression and can produce large files, making it unpractical for web streaming.

PTX & PTS

Text-based point cloud formats commonly used in laser scanning workflows. PTS is a simple, widely supported ASCII format for unstructured point data exchange, while PTX extends it by preserving structured scan data and transformation matrices for registration and alignment workflows.

Both formats are uncompressed and text-based, which results in very large file sizes compared to binary alternatives like E57 or LAZ.

MAVO Backup

Having the scan on your device is one thing, but easily sharing it across your team a totally different story.

With the professional license we make it super simple for you. Just export as MAVO Backup file and the whole scan can be transferred to your colleagues or easily saved to your company’s cloud storage.

Upload to ATIS.cloud platform

This integration makes it possible to upload the finished scan directly to ATIS.cloud. Conveniently in-app, without transferring to another laptop. ATIS.cloud is a cloud platform for 3D data management with focus on team collaboration and workflow integration.

ATIS.cloud offers a free trial to explore the possibilities.

Point Share Plus (PSP) is a specialized point cloud hosting and viewing platform, built for surveyors, engineers and construction teams.

They support a wide variety of point cloud and 3D model formats to let you view and share your data in the browser with teammates, clients, or stakeholders, no specialist software required.

MAVO 3D users can access an exclusive PSP plan available only when connecting from inside the app. It includes a 14-day trial, and you can upgrade to any other PSP plan as your needs grow.

3D Meshes

MAVO 3D’s intelligent processing pipeline will soon convert your mobile LiDAR scans into pre-cleaned, ready-to-use 3D meshes.

Mesh quality depends on scan quality

A good mesh needs a solid point cloud base. The denser and more accurate your capture, the cleaner the resulting geometry, and the less time you spend fixing it afterward.

This is also why accurate mobile LiDAR scanning matters before you even think about meshing.

Point clouds are heavy files. Hard to share, hard to open in browser tools, and slow in Archicad or Revit. Meshes are lighter and easier to handle across the board.

What you can do with these 3D meshes

Generate 2D floor plans automatically from your scan
Measure walls, ceilings and rooms
Create reports using your own templates
Share smaller files with clients and teams
Visualize captured buildings in VR/AR

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