7-Point Checklist for Choosing a Point Cloud Viewer | Avoid Mistakes in Rendering Performance, Measurement, Cross-Sections, and Sharing

Table of Contents

• Check 1. Display speed and performance of the point cloud viewer

• Check 2. Measurement capabilities of the point cloud viewer

• Check 3. Cross-section display feature of the point cloud viewer

• Check 4. Shareability and collaboration of point cloud data

• Check 5. Point cloud file compatibility and format support

• Check 6. Usability (UI ease of use and learning curve)

• Check 7. Ease of implementation (cost and fit to environment)

• Summary

In recent years, the use of point cloud data (point clouds) acquired by 3D laser scanners and drone surveys has rapidly expanded at construction, civil engineering, and surveying sites. However, until now it has been extremely difficult to easily display and share massive point cloud datasets made up of countless points. This was because it was necessary to install dedicated viewer software on high-performance PCs and load large-capacity files, so using them on site required time and effort. As a result, a strong impression developed that “point clouds are difficult to handle,” and there were many cases where the valuable data that had been collected went unused.

Given these circumstances, "how to choose an easy-to-use point cloud viewer" has become an important issue for field personnel. In particular, point cloud files are often exchanged in the industry-standard LAS/LAZ formats, and typical usage environments involve sharing within the company on Windows PCs and externally via web browsers. In this article, we explain seven checkpoints to keep in mind when selecting a point cloud viewer under those assumptions. From the perspectives of rendering speed, measurement functions, cross-section display, data shareability, file compatibility, operability, and ease of deployment, we describe concrete points to prevent failures in the field. Keeping these in mind will help you avoid situations like "we implemented it but it's unusable" or "it failed to be useful on site," and will assist in choosing the viewer that best fits your company's operations.

Check 1. Display speed and performance of the point cloud viewer

The foremost priority should be display speed and runtime performance. Point cloud data can range from several million to several hundred million points, and file sizes tend to become very large. For that reason, some viewers may take a long time to load, causing stuttering in the display and making interaction stressful. If you need to quickly check conditions on site but each time data loading takes a long time, work efficiency will be severely impaired. Trying to show point clouds during a meeting and leaving people waiting with "it's still not opening…" can lead to operational failures.

To avoid such situations, it is important to choose a viewer that remains responsive even with large datasets. Specifically, pay attention to whether it can efficiently handle large-scale point clouds using technologies such as LOD (Level of Detail) management and streaming display. Recent cloud-based viewers adopt a mechanism in which the server spatially partitions the point cloud and progressively transfers only the required portions, so that even city-scale massive point clouds can be viewed smoothly by narrowing the area. Even local PC software can ensure a comfortable experience through measures such as GPU-assisted high-speed rendering and automatic thinning of points based on point count.

When selecting a tool, actually load representative point-cloud data you work with (e.g., LAS/LAZ files with tens of millions of points) and check display speed and responsiveness during operations. Verify whether panning, zooming, and 3D rotation are smooth, and whether points remain detailed without becoming coarse partway through. If rendering is slow or unstable, it can become a source of stress in the field and you may end up not using it. It’s also useful to check in advance whether the tool has a track record with large point clouds. Choosing a viewer with excellent rendering performance will let you make use of point clouds on site without being intimidated by the data volume.

Check 2. Measurement capabilities of the point cloud viewer

The robustness of measurement features is also an important checkpoint. Point cloud data demonstrate their value not merely by being viewed but by being used to measure on-site dimensions and distances. For example, if you want to know the distance or elevation difference between two locations, being able to measure the distance directly between two points in the viewer lets you confirm it instantly. You can also measure the area of a ground or structure, or read the depth of low spots such as puddles from the point cloud. If the viewer includes measurement tools, you can immediately obtain information like “how far apart” or “how large an area” something is on the spot, eliminating the need to export to CAD software and measure there each time.

Typical viewers provide basic functions such as measuring the distance between two points, checking height differences (vertical differences), and measuring the area of an arbitrary region. For example, when you want to know how much the terrain has risen, measuring elevation differences allows you to immediately determine the difference from the design on site. Furthermore, some products have begun to offer volume calculation (earthwork estimation), and there are cases where embankment and excavation volumes can be automatically calculated from point clouds. While advanced analyses like volume calculation are not essential at every site, being able to measure length, area, and height is at least indispensable in practice.

On the other hand, some viewers have weak measurement capabilities and can only be used for viewing. If you choose such a tool, you may end up having to hand off data to other software to measure distances or inefficiently verify measurements on site with a ruler. This means that, even if you introduce point clouds, you won't be able to make full use of them and it can become a cause of failure in the field. Therefore, when selecting a viewer, be sure to confirm that it has the measurement functions that suit your intended use. For example, write down your needs such as "I need to check height differences because I want to measure deviations from design for as-built management" or "I often need to measure the area of a site, so I want polygon-based area measurement," and choose a viewer that can meet them. With a viewer that has sufficient measurement capabilities, you can use point cloud data not just as a 3D model but as live on-site information.

Check 3. Cross-section display function of the point cloud viewer

In workflows that use point cloud data, the ability to display cross-sections (cross-sections) is an important feature to keep in mind. Because point clouds consist of countless points in three-dimensional space, it can be difficult to grasp internal details or longitudinal shapes as-is. Therefore, functionality that slices the data along a specified plane and displays it as a cross-sectional view is required. For example, if you can extract longitudinal and transverse sections at arbitrary locations from road or river point clouds, you can intuitively check terrain gradients and the cross-sectional shapes of excavation and embankment. For point clouds inside a tunnel, slicing it like a series of rings to view cross-sections allows accurate evaluation of lining deformation and clearances. For buildings, displaying horizontal sections for each floor lets you get an overview of the structural layout. In this way, cross-section functionality is indispensable for analyzing the internal structure and elevation differences of point clouds.

Many point cloud viewers offer creation and display of arbitrary cross-sections as a basic feature, but usability and presentation methods vary by software. Simple viewers may only display a single planar cross-section, while more advanced ones let you continuously move the section position with a slider or show a slice with thickness. Features to add dimension lines or area hatching to sections, and to export section shapes as drawing data such as DXF, can also be useful for design review. However, advanced section functions are not included in every viewer. Whether you need to create sectional drawings or require full-scale analysis depends on your company’s business needs, so if necessary you should select a tool that supports those capabilities.

If you choose a viewer while underestimating its cross-section functions, you may later find yourself in a situation of "I want to check a terrain cross-section but can't!" In fact, there are many cases where not being able to obtain cross-sectional drawings causes problems for construction planning and as-built verification. To prevent such practical failures, check in advance whether cross-section display is available and how easy it is to use. If possible, try actually cutting cross-sections in a demo version to confirm ease of operation and rendering speed. By effectively utilizing a point cloud viewer's cross-section display function, you can extract necessary 2D information from 3D data and use it to inform on-site decisions.

Check 4. Shareability and Collaboration of Point Cloud Data

Ease of data sharing is also a factor that should not be overlooked when selecting a point cloud viewer. On construction and surveying sites, there are often occasions to share acquired point clouds with internal stakeholders, clients, and subcontractors for practical use. For example, using point clouds for as-built checks or progress meetings lets you present the current situation in three dimensions and smooth the consensus-building process. However, with viewers that do not facilitate sharing well, problems such as "the data is too large to send" or "the recipient doesn't have the software installed on their PC and can't view it" tend to occur. As a result, despite intending to share 3D data, you may end up converting it to still images and sending them by email—a counterproductive situation.

To avoid such mistakes, an ideal solution is a viewer with sharing features that allow anyone to easily view point clouds. With a cloud-based point cloud viewer, you simply upload the point cloud data and share the generated URL, and the other party can view it in 3D within a web browser. Because no dedicated software installation is required, the recipient does not need to provide a high-performance PC or perform complex setup. Also, since the data is centrally managed in the cloud and kept up to date, everyone can always “view the latest version together.” It reduces the hassle of sending data from the field each time or checking which version is the newest, and precisely the strength of a cloud viewer is that it enables the same point cloud to be shared “anytime, anywhere, by anyone.”

On the other hand, for internal use a Windows application–type viewer can also be operated to share and reference data on a network disk. However, in this case each viewer must install the software and open files by specifying the file path, so IT literacy and environment setup become challenges. When operating within a project team, pay attention to viewing permissions and security measures. For example, some cloud services allow user invitations and password protection per project, enabling you to share highly confidential data with confidence. Conversely, the simple sharing type that allows anyone to view content as long as they know the URL is convenient, but requires caution from an information-management perspective. Similarly, when sharing externally it is also wise to check the terms of use regarding data handling and whether communications are encrypted.

Overall, it is important to carefully compare and consider "how point cloud viewers allow you to share data with others." If you can exchange opinions in real time while viewing 3D data between the field and the office, it will greatly contribute to faster decision-making and a reduction in misunderstandings. To make effective use of valuable point clouds across the entire organization, ease of sharing can be said to be a factor directly linked to operational efficiency.

Check 5. Point cloud file compatibility and format support

When choosing a point cloud viewer, be sure to check the range of supported file formats. Support for LAS/LAZ, the representative formats for point cloud data, is of course essential, but depending on the work you may also handle other formats. For example, there are various formats such as the E57 format from terrestrial laser scanners, the OBJ and PLY formats output by drone photogrammetry software, and vendor-specific cloud point formats. If the viewer you select does not support the formats your company uses, you may be unable to open data or waste time converting to other formats. In practice, being unable to open a received point cloud file can lead to a major failure, so caution is necessary.

First, identify the point cloud formats your company primarily handles and confirm whether they can be imported and displayed. Support for common LAS/LAZ is of course expected; also consider support for other formats you may use in the future (for example, whether a photogrammetry feature that directly converts photogrammetric data into point clouds is required). In particular, municipalities and large-scale projects often need to overlay existing CAD/BIM data with point clouds. In that case, it is convenient if the viewer has import functions for base maps and design CAD data. Check not only the supported formats but also coordinate system compatibility. There are differences between software in whether they can correctly interpret the project’s reference coordinate system (e.g., plane rectangular coordinate systems or the world geodetic system) and whether they can display data while preserving reference point information within LAS files. To avoid failures such as position shifts caused by incorrect coordinate transformations, it is advisable to verify using test data.

Also check the export functionality. For example, if you want to hand off a portion of the point cloud cropped in the viewer to another analysis software, it’s useful if you can save it in standard LAS or PLY formats. Some products only allow output in proprietary formats and are difficult to integrate with other software, so evaluate whether the necessary compatibility features are in place with your operational workflow in mind. Overall, a point cloud viewer’s usefulness is determined by the “formats it supports and their compatibility.” Platform-style viewers that support a limited set of formats may offer advanced analysis features, but if they don’t support the formats your company needs, they become a wasted asset. Conversely, simpler viewers tend to support a wider range of formats more easily. With future scalability in mind, choosing a viewer with compatibility that won’t cause problems when exchanging data within your company or with third parties will help you avoid failures in field operations.

Check 6. Usability (UI ease of use and learning curve)

Because the tool is used daily by on-site personnel, operability (ease of use of the user interface) is also extremely important. No matter how feature-rich it is, if the controls are hard to understand and field staff cannot master them, there is no point in adopting it. A point-cloud viewer handles 3D space and therefore has somewhat unique controls, but it should still be designed so that viewpoint movement and measurements can be performed intuitively. For example, even for mouse operations, pay attention to the comfort of basic actions: whether panning, rotating, and zooming can be done intuitively by dragging, and whether information about selected points is displayed immediately. A viewer that, when actually tried, makes you feel "I can move the viewpoint as I intended" and "I can measure what I want without hesitation" will be accepted on site without resistance.

An aspect of operability you must not overlook is whether it matches the IT skills and working environment of on-site staff. For example, the PCs in the site office may not have the latest specs, and workers may be confused if the UI is not in Japanese. Some viewers have menus and manuals only in English and can be hard to understand, so it’s a good idea to check language support. In addition, if there’s a chance the system will be used on smartphones or tablets, you need to consider usability on mobile devices. Even if point clouds are captured with a smartphone, on-site use won’t progress if the viewer is designed for PCs and doesn’t work properly on phones. Recent cloud services have improved smartphone support, but as a precaution check screen layouts and how easily touch operations can be performed. In particular, measurement functions may be restricted in the mobile version, so it’s important to know what can be done on which devices.

Also, the balance between functionality and usability is an important selection point. The more feature-rich a viewer is, the more menu items it tends to have and the more complex its operation becomes, requiring time to become proficient. Conversely, a simple viewer is easy for anyone to handle, but if it feels insufficient you may need to use additional software. The appropriate tool varies depending on how much IT literacy the on-site staff have and what functions are required. If it is important that "construction management staff who have not received specialized training can use it intuitively," it is wise to choose one with simpler operation even if it means narrowing features. On the other hand, if a specialized department will be using it, a high-function viewer that is somewhat complex may be preferable. Evaluate usability from the perspective of the people who will actually use it on site, and choose one that matches your company's technical level and workflow.

Finally, if possible, make use of trial or free versions and have actual users try them out to gather feedback. By checking not only the specs on paper but also "how it feels to use it," you can form a clearer picture of how it will be operated after deployment. If you choose a viewer with high usability, field staff will accept it readily and leverage 3D point clouds in their daily work.

Check 7. Ease of implementation (cost and environmental compatibility)

Finally, don’t forget ease of adoption. No matter how excellent a tool is, if the implementation process is difficult or the costs don’t fit, it can become nothing more than a pipe dream. When considering ease of adoption, first check the licensing model and costs. Point cloud viewers can be broadly categorized into subscription-based (monthly/annual billing) and perpetual purchase (one-time license) types. Subscription models have the advantage of always allowing you to use the latest version, but they incur ongoing costs. Perpetual licenses can reduce long-term costs after a one-time purchase, but major upgrades may require additional purchases. It’s important to choose the cost model that matches your company’s budget and operational policies. In addition, be sure to confirm the license policy for multiple users (limits on simultaneous users or number of devices).

Next, system requirements and compatibility with existing environments are also important. Some local PC-based viewers require high-performance GPUs and large amounts of memory for high-resolution 3D rendering. Check the operational requirements in advance and verify whether it will run properly on your company PCs. If current PC specifications are insufficient, equipment upgrades may be required at the same time as viewer deployment. To avoid raising the barrier, one solution is to use cloud-based services. With cloud-based solutions, there is no need to install dedicated software, and they have the advantage of handling large point-cloud datasets even on relatively low-spec PCs. If you upload point clouds collected on site to the cloud, anyone in the office can view and measure the 3D data on the web, making information sharing smoother. As long as the internet environment is in place, deployment is easy and you can start using it without spending time on internal coordination.

Also consider your company's internal IT infrastructure and policies. For example, if information security restrictions prevent storing data on external cloud services, you should consider an on‑premises viewer installed on your own servers or building your own solution with open‑source software. In that case, server setup and ongoing maintenance effort will increase, but you will not incur cloud service fees. Open‑source viewers are attractive because they have no license fees, but note that technical support is limited and you will need to resolve troubleshooting yourself. Whether you have IT‑knowledgeable staff in-house also affects how easy adoption will be. Also check whether the software vendor provides trial periods, demo support, or training. If a vendor's support structure is robust, training beginners can be carried out smoothly.

Finally, consider a phased rollout. At first, it can be effective to observe through a small-scale project or pilot operation, identify problems, and only then proceed to full deployment. By adjusting while incorporating feedback from on-site staff, you can prevent failures such as “we introduced it, but nobody uses it.” As described above, comprehensively evaluate the adoption hurdles in terms of cost, technology, and operations, and choose a viewer that you can start using without strain—this is the quickest route to success.

Summary

To make vast 3D point cloud data useful in daily operations, selecting a point cloud viewer suited to your purpose and site is indispensable. If you comprehensively check the seven aspects raised in this article—display speed, measurement capabilities, cross-section display, data sharing, file compatibility, usability, and ease of deployment—you can greatly reduce the risk of regretting “it’s unusable…” on site. By adopting a viewer that can display data quickly and stably, perform necessary measurements and create cross-sections on the spot, and be smoothly shared with stakeholders, point cloud data becomes not just a record but a powerful communication tool, enabling improved situational awareness on site, higher accuracy in as-built management, and more efficient construction planning.

That said, a point cloud viewer is ultimately a platform for utilizing data. To maximize its value, it is effective to incorporate the latest technologies in data acquisition and positioning as well. For example, for high-precision layout and surveying on site, using the iPhone-mounted GNSS high-precision positioning device "LRTK" turns a handheld smartphone into a centimeter-level surveying instrument. Precision positioning that traditionally required expensive dedicated equipment can be obtained easily by anyone using LRTK, enabling acquisition of high-precision 3D point clouds. Data acquired in this way can be shared and viewed via the cloud immediately, allowing quick verification and use on a point cloud viewer at the site. By intelligently combining cutting-edge tools and choosing the point cloud viewer best suited to your company, on-site DX (digital transformation) will accelerate further. Leverage both point cloud viewers and devices to improve productivity and accuracy on site.