Table of contents

• Introduction

• Challenges of traditional point cloud viewing tools

• What is an installation-free point cloud viewing service?

• Differences in accessibility (installation / environment)

• Differences in ease of use (UI / operability)

• Differences in data sharing and collaboration

• Differences in field use

• Differences in features and performance

• Conclusion

• Recommendation: simple surveying with LRTK

• Frequently Asked Questions (FAQ)

Introduction

In recent years, high-precision point cloud data has become obtainable via 3D laser scanners and photogrammetry, and its use has expanded across many sites, especially in civil engineering and construction. The applications are growing year by year—from grasping as-built conditions from acquired point clouds to verifying construction by comparing with design models, and aiding infrastructure maintenance. However, at the same time, simply “viewing” point cloud data has been a major challenge. Point clouds are enormous collections of points with very large file sizes, and handling them typically required installing dedicated software and high-performance PCs, so they were not something anyone could easily open and view.

Against this backdrop, cloud-based point cloud viewing services that can be used without installation have attracted attention. New tools that allow you to upload point cloud data to the cloud via the internet and display and measure them in 3D on a web browser are appearing one after another. These services, which realize installation-free point cloud viewing, are ushering in an era where stakeholders can share and use point clouds even without specialized software. In this article, we compare traditional desktop point cloud tools and the latest browser-compatible viewers and explain in detail the differences in accessibility, ease of use, data sharing, field use, and other aspects.

Challenges of traditional point cloud viewing tools

First, let’s organize the current situation and challenges of point cloud data viewing tools that have been used traditionally. In the past, displaying and processing point clouds typically required installing dedicated software on a PC. There are various options such as proprietary viewers from laser scanner manufacturers, open-source point cloud processing software, and CAD software with point cloud support, but all of these are applications that run on a PC. Naturally, installing software in advance is a hassle, and the operating environment is limited by each application. In addition, handling high-resolution point clouds often recommended high-spec PCs with graphics cards, so typical office laptops sometimes could not run them smoothly.

Beyond these environmental hurdles, traditional point cloud software also tends to be complex and difficult to operate. Their multifunctionality makes the UI complicated, and even simple viewpoint control or measurement often requires practice. As a result, only surveying or CAD technicians could master them, and it was often difficult to share and utilize acquired point cloud data among all stakeholders. For example, even if a client were given point cloud data, they might ask, “How should I view this data?”—so the data would end up being converted into still images for explanations. Large point cloud files also cannot be attached to emails, so data exchange took time and became another barrier.

In fact, reports from Japanese national land management agencies have pointed out that “the current need for expensive software and high-performance PCs is hindering point cloud utilization.” Traditionally, the impression that “point clouds are hard to handle” was strong, and improving viewing environments has been required to promote data use.

What is an installation-free point cloud viewing service?

Enter the installation-free point cloud viewing service. As the name suggests, this refers to a system where users do not need to install dedicated software on their PCs or devices and can display and manipulate point cloud data directly in a web browser. Concretely, point cloud data uploaded to the cloud over the internet is displayed in the browser as a 3D viewer. You can freely change viewpoints with mouse or touch operations and observe the point cloud from various angles. Basic measurement functions such as measuring distances or extracting arbitrary cross-sections are also provided, so you can grasp site conditions in the browser alone without launching traditional software.

Many of these cloud-based viewers perform rendering and data compression processing on the server side, enabling smooth rendering of large point clouds regardless of the client device’s specifications. Therefore, even high-resolution data can be displayed responsively by loading only the required regions over the network. In short, browser-compatible point cloud viewing services make it so that “anyone can view point cloud data as long as they have internet access and a browser.” Not only office or field laptops without special apps, but also tablets and smartphones can access the same data, making it revolutionary that point clouds can be used regardless of location or device.

So what exactly differs between this “installation-free” style and traditional software? Below we compare the two across key perspectives and explore their characteristics.

Differences in accessibility (installation / environment)

First, differences in the ease of getting started and required environment. With traditional tools, when you want to view new point cloud data, you have to install the compatible software on your PC. Installing software on corporate PCs may require administrator rights or internal approvals, so it’s not always available to anyone on the spot. Also, if the software is Windows-only, it won’t run on a Mac, so the OS environment becomes a constraint. On the other hand, a browser-based viewing service allows users to start using it simply by accessing a link, with no special settings required. Even if colleagues or clients do not have the software, you can share the point cloud data immediately by saying, “Please open this URL.”

Being usable regardless of device or OS is another major advantage. If a web browser runs, the same viewing experience is possible on desktop PCs, laptops, tablets, or smartphones. You can access from a tablet at the site and a desktop in the office as the situation requires, offering flexible device choice. Also important is that a high-performance PC is often unnecessary. Services that perform rendering on the cloud can display large point clouds smoothly even on typical client PCs. You don’t need a workstation with a dedicated GPU or large memory; you can leverage server power over the internet for 3D display, avoiding the traditional hardware barriers.

Another benefit is being freed from software updates and maintenance. Installed tools require reinstallations and license renewals with each version upgrade, but cloud services always provide the latest version, so users don’t need to manage updates. From initial deployment through daily use, browser viewing services are overwhelmingly smoother.

Differences in ease of use (UI / operability)

Next is the usability when actually viewing data. Traditional point cloud processing software offers advanced professional features but often has a complex interface and operating procedures. Even mouse operations may follow unique rules, and numerous buttons or settings can be overwhelming. Browser-based point cloud viewers are often provided with relatively simple UIs and designed to be intuitive. For example, you can rotate and move viewpoints simply by dragging on the screen, or switch to distance measurement mode with a single click, so even people who have never used specialized software can quickly understand the controls.

The fact that they are easy for non-technical users to operate is a big advantage; field staff and clients who are not specialists can view point clouds themselves to check conditions. This makes explanations and sharing opinions smoother and shortens the time to consensus. In situations where a technician previously had to operate the software and explain alongside, browser viewers allow stakeholders to independently view the 3D data, greatly improving communication efficiency.

Browser-based tools also often support touch operations, allowing intuitive viewpoint control with pinch and swipe on tablets and smartphones. This makes it easy to check point clouds on a tablet at the site and, combined with device flexibility, increases convenience. Overall, modern web viewers differentiate themselves from traditional tools by the ease of use that lets “anyone use them without getting lost.”

Differences in data sharing and collaboration

There are also major differences in how point cloud data is shared. Traditionally, to show acquired point clouds to others, you had to hand over the data files and have the recipient open them. But as mentioned, without dedicated software they cannot open the files, so providers often had to supply the viewer, or convert the data into still images or videos for explanatory materials, which is time-consuming. Large point cloud files couldn’t be emailed, so data had to be transferred via USB drives or file transfer services, and data sharing was a significant hurdle.

With a browser viewing service, you simply provide access to the point cloud uploaded to the cloud via a URL. The data itself stays in the cloud, so the recipient can open the link in a browser and immediately view it in 3D. For example, branches or partner companies in remote locations can join online meetings while viewing the same point cloud data in real time. If changes occur, updating the cloud data ensures everyone has access to the latest information, preventing mistakes like “not everyone has the latest version” or “people were working from old files.”

Some tools also provide rich features like access permission settings and comments, functioning as true collaboration platforms. You can pin annotations to specific survey points and have others reply, enabling communication directly within the point cloud space. It is a cloud-specific strength that multiple parties—site teams, designers, and clients—can advance a project sharing recognition in 3D. The practice is shifting from handing out data files for individuals to view separately toward one shared space where everyone checks together.

Differences in field use

There are decisive differences between the two when using point clouds in the field. Traditional point cloud software is mostly used on office desktop PCs, so bringing it to the field and opening point clouds on-site was not realistic. You could carry a laptop with a viewer installed, but high-performance laptops are heavy and have limited battery life, making long outdoor use difficult. Consequently, the workflow tended to be to scan in the field and review the data back at the office, which risks discovering missing or incomplete data only later and requiring return visits—an inefficient outcome.

Browser-compatible point cloud viewing services, however, allow you to check scan results on site immediately. For example, you can open point clouds uploaded from scanners or drones on a tablet to verify that the necessary areas were properly captured. If some parts were missed, you can perform additional scans right away, enabling on-site quality checks and follow-up. Moreover, if field data is shared to the cloud, office staff can view the point cloud in real time and provide advice, allowing quick decision-making and instructions while reducing travel time by understanding the latest site situation in 3D remotely.

Recently, advanced use cases have emerged where acquired point clouds are displayed on mobile devices in AR (augmented reality), overlaying them on the real scene for verification. For example, you can overlay a scanned structure’s point cloud on-site through a tablet and intuitively check differences from the design. Site verification that used to rely on drawings or photos can now be done with 3D data on the spot. This immediate on-site use is supported by cloud-connected viewers, and the strength of “being able to view it on the spot” produces not just convenience but benefits such as reduced rework and improved quality.

Differences in features and performance

Finally, from the perspective of available features and processing performance. When advanced point cloud analysis or editing is required, desktop professional software still has advantages in many cases today. Tasks such as extracting ground surfaces from point clouds, classifying and filtering objects, or advanced 3D modeling may be difficult without specialized software. Browser viewers mainly focus on “viewing” and “basic measurement/comments,” so they often lack heavy editing or automated analysis features. However, in recent years, browser-based services offering practical analysis functions—such as distance, area, and volume measurements, arbitrary cross-section extraction, and difference comparison among multiple point clouds—have been increasing. For many use cases, cloud-based analysis can now be completed without relying on traditional software.

Regarding processing performance, there used to be concerns that “web displays are slow,” but thanks to server-side optimization and point cloud tiling technologies, there are now cases where datasets on the order of hundreds of millions of points can be viewed smoothly. In some cases, cloud access has inverted the situation—data too large to open on ordinary PCs can be handled via the cloud. That said, in environments with extremely slow network connections, display may be delayed, so it’s wise to confirm connectivity when using large datasets. Also, for highly confidential data that cannot be uploaded to the cloud for security reasons, offline traditional software will still be required. In terms of features and performance, it’s important to use each approach where it fits best.

Conclusion

So far we’ve looked at the differences between installation-free point cloud viewing services and traditional tools from various angles. Many of the hurdles that once hindered point cloud utilization—“installation is cumbersome,” “operation is difficult,” “data sharing is hard,” and “hard to use in the field”—can now be addressed surprisingly easily with cloud-based viewers that enable visualization, sharing, and simple measurement. The key is to choose the right tool to match your company’s needs. Traditional software remains powerful for specialist, detailed analysis, but browser-compatible services are ideal for easily sharing 3D data for communication within and outside the organization. By combining the strengths of both, you can maximize the value of point cloud data.

In particular, installation-free cloud services provide a foundation for “anyone, anywhere, anytime” access to point clouds. Point cloud data, once limited to a small number of specialists, is becoming an everyday information resource in routine operations. Leveraging this trend can help improve field productivity and speed up consensus building.

Recommendation: simple surveying with LRTK

As described above, technologies around point cloud data have evolved greatly toward installation-free, cloud-centric workflows. Against this trend, simple surveying with LRTK has emerged. LRTK is an innovative platform that combines a smartphone with a compact GNSS receiver to enable anyone to easily perform centimeter-class (cm level accuracy (half-inch accuracy)) high-precision surveying and point cloud acquisition. Data collected in the field syncs to the cloud and is immediately visualized and shared in a dedicated 3D viewer. Because you can check absolute-coordinate point clouds in real time and perform additional measurements or share results on the spot, LRTK realizes an environment where “anytime, anywhere, anyone” can perform high-precision surveying.

Developed with the goal of a “one-device-per-person universal surveying instrument,” this system’s ease of use and affordable cost have already sparked a quiet boom on many sites. LRTK supports the whole workflow from point cloud measurement to cloud sharing and even AR-based field use, and it strongly promotes field efficiency and DX (digital transformation). If you have not yet experienced high-precision positioning or cloud point cloud sharing, consider trying LRTK. Once you experience the advantages of this innovative simple surveying solution, you may find it hard to return to previous inefficient methods. Starting surveying from a smartphone could bring significant changes to your site.

Frequently Asked Questions (FAQ)

Q: Is there a way to view point cloud data without installing software? A: Yes. Recently, point cloud viewers (viewing services) that run in the cloud have emerged, allowing point clouds to be displayed in a browser without installing dedicated software on a PC. You upload data over the internet and share a link, and recipients can view the data in their browsers, making it an ideal way to share 3D data easily.

Q: Can browser-based point cloud viewers perform distance measurements and cross-section displays? A: Yes. Many browser-compatible viewers include basic measurement functions. You can measure distances between two points, area, create cross-sections on arbitrary planes, and add comments or markers—sufficient for common field needs. However, advanced point cloud editing and analysis (noise removal, advanced modeling, etc.) may still require traditional specialist software.

Q: Can large point cloud datasets be displayed smoothly in a web browser? A: Yes. Cloud services can split and compress data and load only required regions, enabling smooth handling of large datasets that include hundreds of millions of points. Even without a high-performance GPU on the user’s PC, server-side processing can provide smooth rendering. Note that initial data uploads can take time, so a good network environment is preferable.

Q: Is it secure to store point cloud data in the cloud? A: If you use a reputable service, security measures such as encrypted communications and access controls are typically in place, so cloud use is generally safe. You can usually set permissions so only authorized users can view uploaded point clouds. However, for extremely confidential data, consider options such as hosting on an internal server or using offline viewing software—operational considerations should guide your choice.

Q: Which should I use: traditional point cloud software or a browser service? A: It’s recommended to choose based on the use case. Browser-based, installation-free services are very convenient for easily sharing 3D data with stakeholders and quickly checking point clouds in the field. For advanced editing and detailed analysis, traditional specialist software is appropriate. The two are complementary rather than mutually exclusive, and using both as needed will broaden your options for point cloud utilization.