8 Recommended Point Cloud Viewers｜How to Choose Free and Paid Options That Open Large Point Clouds Smoothly

Table of Contents

• What is a point cloud viewer?

• Points to consider when choosing a point cloud viewer

• 1. Open-source point cloud viewer (free)

• 2. Browser-based point cloud viewer (free)

• 3. Browser-based point cloud viewer (free)

• 4. Point cloud viewer software (free)

• 5. Point cloud processing software (paid)

• 6. Point cloud processing software (paid)

• 7. Cloud-based point cloud management service (paid)

• 8. Point cloud cloud management platform (paid)

• Which should you choose: the free version or the paid version?

• Summary

Point cloud data are three-dimensional datasets composed of countless points acquired by devices such as laser scanners or photogrammetry (photographic surveying). In construction, civil engineering, and surveying workflows, software known as point cloud viewers is essential for visualizing and working with these point clouds in 3D. However, point cloud datasets often become very large—ranging from millions to hundreds of millions of points—and ordinary PCs and typical CAD software frequently run into problems such as files being too large to open or operations becoming sluggish and choppy. In this article, we introduce eight recommended point cloud viewers that can display large point cloud datasets smoothly and responsively. We cover a wide range of options, from free tools to commercial software for professional use, and explain key points for choosing the right viewer based on your needs.

What is a point cloud viewer?

A point cloud viewer is software that loads 3D point cloud data (such as LAS or LAZ formats) and displays and lets you browse it in three dimensions on a computer. It applies coloring and elevation information to the vast collection of acquired points, allowing you to observe them while freely rotating and zooming on the screen. Its hallmark is that it enables an intuitive grasp of terrain undulations and the shapes of structures that cannot be understood from plan views or photographs alone. Many viewers are not limited to simple display but also include basic analysis functions, such as measuring distances and areas and displaying cross-sections.

Traditionally, handling point cloud data required expensive CAD software or dedicated applications. However, recently free open-source viewers and cloud-based viewers that run in web browsers have emerged, making it easier for teams outside specialist departments to utilize point clouds. Below, with particular attention to the ability to open large point cloud datasets without stress, we have carefully selected and will introduce representative point cloud viewers.

Key Points When Choosing a Point Cloud Viewer

In terms of display performance and supported data volume, when handling large point clouds the most important factor is the software’s rendering performance. Loading datasets of tens of millions of points or more requires support for 64bit and GPU acceleration for high-speed processing. Viewers that manage point clouds hierarchically and render only the points needed according to the view extent using level-of-detail (LOD) techniques enable smooth navigation even with very large datasets. Also check support for major file formats such as LAS/LAZ and E57. If the software supports the industry-standard LAS/LAZ formats, it can read point clouds from a variety of surveying instruments and open-data sources, increasing its versatility.

Functionality and suitability for the intended use are also key selection points. It is important not only that the software allows simple viewing but also that it offers features that meet on-site needs. For example, if advanced analysis and editing are required—such as measuring distance and area, creating cross sections, thinning and filtering point clouds, or aligning (overlaying) multiple point clouds—paid software is advantageous. On the other hand, if "viewing only" is sufficient, a free viewer may suffice. Also, if cloud sharing or simultaneous viewing by multiple users is required, choose a web-based viewer; if you want to use it in combination with CAD drawings or BIM models, choose a viewer with CAD integration features. Selecting the type that matches your intended use is important.

Cost and licensing are also important considerations. Free software is easy to adopt and can be introduced at zero cost, but you should be aware of functional limitations and weaker support. If you will use it regularly for business, paid software may ultimately lead to improved efficiency in terms of reliability and feature completeness. Paid versions offer many advantages, such as stable processing of large datasets, automated analysis features, and vendor support. Depending on your budget and frequency of use, it’s a good idea to try the free version first and then switch to a paid version if necessary. Now, let’s take a look at eight recommended point cloud viewers.

1. Open-source point cloud viewer (free)

It is a free, open-source software that has become a standard in point cloud processing. It was originally developed in France for the civil engineering surveying sector, and its main characteristic is high processing performance, enabling smooth visualization of very large point cloud datasets containing tens of millions to hundreds of millions of points.

It runs not only on Windows but also on Mac and Linux, and supports major formats such as LAS/LAZ, PLY, and E57. The basic UI is in English but simple, and view navigation and zooming are intuitive. It offers many features, such as removing unwanted points by area selection, color-based point filtering, measuring the distance between two points, and cross-section slice display. Advanced analyses, such as extracting only the ground surface from point clouds or meshing, are also possible via plugins, and despite being free it is widely used in the industry as the de facto standard for large-scale point cloud processing.

User communities have formed both domestically and internationally, and a wealth of information on how to operate and on practical use cases is widely shared.

2. Browser-based point cloud viewer (free)

A browser-based point cloud viewer is an open-source viewer that allows point clouds to be displayed and shared in a web browser. Its key feature is that no installation is required, enabling direct viewing of large point clouds from the browser.

Browser-based point cloud viewers load point cloud data by converting it into a hierarchical structure called an octree (Octree), which automatically adjusts the points' level of detail according to the viewing distance (LOD). As a result, datasets on the order of tens of millions of points can be smoothly viewed in 3D on a typical PC or tablet.

Because point clouds can be shared over the Internet, you can instantly review point clouds acquired on site with stakeholders via the cloud. It also includes features such as distance and area measurement and clipping and display of arbitrary cross-sections, providing an environment that allows easy use of point cloud data using only a browser, without dedicated software. However, note that the data must be converted in advance to a browser-based point cloud viewer format (official converter tools are provided). In Japan, the Geospatial Information Authority has used browser-based point cloud viewers to share point cloud data in disaster surveys, and use is spreading to non-specialist sites as well.

3. Browser-based Point Cloud Viewer (Free)

It is a unique, free viewer that can display point cloud data like 360-degree panoramic images. The standalone software loads point clouds such as LAS and PTS and lets you intuitively survey the point cloud space through panoramic views at each acquisition point. Like Street View, you can virtually walk around the scan site, making it easy for even those unfamiliar with 3D to understand the on-site conditions.

It also integrates with major CAD software, enabling bidirectional interaction such as quickly displaying the point cloud panorama for a location when you click a spot of interest on a CAD drawing. It includes distance and height measurement functions, providing an environment that makes it easy to share and discuss point cloud data with stakeholders who do not have specialized 3D/CAD skills. This is a practical tool that efficiently visualizes large amounts of point cloud data captured on-site while also helping to reconcile them with drawings and BIM models. For example, by converting indoor laser-scan point clouds into panoramas so that remote offices can virtually experience the on-site conditions, it helps improve efficiency in renovation planning and equipment inspections.

4. Point Cloud Viewer Software (Free)

This is a free application for viewing point cloud data. It can load point coordinate data such as LAS, CSV, and TXT formats, and is a point cloud viewer notable for its ease of use—no installation required, so you can start using it immediately. Viewpoint navigation remains responsive even with point clouds comprising hundreds of millions of points or with large-scale terrain models, and it is designed so that even non-experts can intuitively handle 3D data.

In the viewer you can measure the distance between two points and the area of a selected region, and it also includes a function to extract an arbitrary cross-section and output that cross-section as a CAD drawing. You can overlay aerial photographs or drawings as a background, allowing point clouds to be visually compared with other spatial information. Municipalities and surveying companies use this viewer to share generated point cloud deliverables with clients, and it is valued as a tool that lets recipients who do not have the software verify high-resolution 3D deliverables for free. In particular, local governments are increasingly using it for examining 3D city models and sharing surveying results, and it has become one of the standard tools supporting 3D information sharing between clients and contractors.

5. Point Cloud Processing Software (Paid)

Point cloud processing software is a professional point cloud application provided by a point cloud software company. It offers a wide range of functions for digitizing real-world measurement results, such as generating 3D models from photographs and integrating laser scan data. It is optimized to handle large-scale point clouds smoothly on high-spec PCs, and processes such as integrating (registration) multiple scan datasets into a single coordinate system are automated. The resulting point cloud data can be trimmed of unwanted parts and denoised, and realistic visualization by applying photo textures is also possible.

It offers high compatibility with major CAD and BIM software, civil engineering design software, and other point-cloud processing products from third-party vendors, allowing smooth workflows that leverage point clouds for the creation of design drawings and BIM models. It also provides cloud export functionality, making it easy to share deliverables with stakeholders via the web. As a reliable product from an industry-standard CAD vendor, it is highly regarded for its stability and suitability for use on large-scale projects.

6. Point Cloud Processing Software (Paid)

The point cloud processing software is a large-scale point cloud processing application. It is equipped with an advanced engine that can render and manipulate point clouds on the order of hundreds of millions of points—such as scan data from industrial plants or large-scale facilities—at near-real-time response speeds.

The main feature is a suite of functions that powerfully support conversion from point clouds to CAD models. For example, when a laser-scanned point cloud is applied to piping, it can automatically recognize cylindrical shapes even from incomplete sequences of points and includes an automatic extraction function that models them as piping in 3D. Similarly, it can automatically detect planar areas such as floors and walls and automatically model steel members and ducts, enabling rapid extraction of design-relevant elements from vast point clouds. This greatly streamlines the as-built drawing work for existing facilities that previously required skilled personnel several days to complete. It also offers comprehensive clash-checking and simulation capabilities, allowing temporary placement of new machinery or structures and simulation of their installation directly on the point cloud.

It is being increasingly adopted for large-scale plant retrofit design and factory line reconfiguration planning, and has become one of the indispensable software tools for building digital twins using point clouds. Although it is an expensive, professional-grade software, it can be said to be a tool that makes a major contribution to improving operational efficiency in large-scale projects and to obtaining highly accurate assessments of current conditions.

7. Cloud-based point cloud management services (paid)

Cloud-based point cloud management service is a cloud-based integrated platform for point clouds and 3D models. It is designed for the construction industry and allows on-site point cloud data and design BIM models to be aggregated and centrally managed in the cloud. A key feature is the ability to overlay and display construction site point clouds on a 3D map space through integration with the Geospatial Information Authority of Japan's topographic maps and OpenStreetMap.

Various datasets can be viewed via a browser, so even without a high-performance PC you can check huge point clouds on a tablet from the site office or while out. There are abundant features that promote DX in construction management, such as dashboard displays useful for as-built management and progress/quantity evaluation, comment sharing among stakeholders, and visualization of progress. By leveraging VR/AR technologies, it is also possible to conduct remote attendance inspections within the point-cloud space from distant locations. Because on-site 3D information can be shared and discussed in real time, this leads to reduced travel costs and faster decision-making. Taking advantage of the cloud’s security and instant-sharing benefits, it is attracting attention as an information-sharing platform for infrastructure projects. Linked to the Ministry of Land, Infrastructure, Transport and Tourism’s i-Construction initiatives, multiple major construction companies have begun adopting it as a site management tool.

8. Point Cloud Cloud Management Platform (Paid)

The point cloud management platform is a Web-based point cloud viewer and information-sharing tool. As the name suggests, it can integrate 360-degree camera images and 3D point cloud data, and its distinguishing feature is that scan results of buildings and plant facilities, both inside and outside, can be viewed on the Web together with the captured panoramic photos.

For example, in the maintenance of aging infrastructure, it is used to overlay past and present point clouds for comparison and to automatically detect areas of change. Displacements and anomalies discovered can be annotated at those locations, and responsible personnel can share information using a built-in chat function. By simply sharing a URL link, members at remote sites can discuss while viewing the same 3D space in a browser, dramatically accelerating the speed of reporting and instructions. In addition to point clouds, BIM/CAD models and various documents can be linked, allowing it to function as a platform to centrally manage all on-site information. It is a cutting-edge tool being adopted across a wide range of fields, from situational awareness at disaster sites to routine building inspections.

It can be flexibly applied across the architectural and civil infrastructure sectors, and is expected to see future expansion as a digital twin platform that integrates 3D point clouds and 360-degree imagery.

Which should you choose: the free version or the paid version?

So far we've looked at representative free and paid point cloud viewers, but which should you choose when actually implementing one? In short, it's recommended to use them according to your purpose and the amount of data. First, if you are handling point cloud data for the first time or using it experimentally within your company, it's a good idea to start with free tools such as open-source point cloud viewers or browser-based point cloud viewers. You can perform basic viewing and measurements without cost, and verify compatibility with your company's data and the feel of the operation. If you find free software insufficient or reach the stage of full-scale business use, it makes sense to consider adopting paid software.

On the other hand, when you plan to use it for large-scale projects from the outset or when advanced analysis and modeling using point clouds are required, it can be well worth choosing paid software even if it requires an initial investment. For example, in cases that handle an entire plant facility on the scale of tens of billions of points, you won’t be able to operate at practical speeds unless you use software with a dedicated, optimized engine like specialized point cloud processing software. Also, if you advance a project while sharing point clouds and design information with many stakeholders, cloud-based viewers such as cloud point-cloud management services and point cloud management platforms demonstrate their strengths. These incur monthly fees and the like, but considering the returns from on-site DX and operational efficiency, they are fully worth the investment.

The important thing is to identify the tool that fits your company’s needs. For typical use cases of point cloud data (e.g., as-built management, equipment maintenance, cultural heritage documentation, etc.), compare and evaluate whether the necessary features are available, whether the scale of data that can be handled is sufficient, and whether it can be easily integrated into existing workflows. Using the points introduced in this article as a reference, choose the optimal point cloud viewer that matches your objectives.

Summary

Point cloud viewers are indispensable tools for intuitively handling large volumes of 3D data and improving efficiency in on-site operations. There are various options, both free and paid, but to comfortably work with heavy point cloud data it is important to understand each software’s strengths in features and performance and to choose between them according to the scene. In particular, recent advances in cloud technology have made it easy to perform processes that previously required expensive workstations via a web browser. For example, by using the iPhone-mounted high-precision GNSS positioning device "LRTK", you can add accurate position information to point clouds captured with a smartphone, upload them to the cloud on the spot, and immediately view them in a browser. By combining the latest tools and devices, the use of 3D point cloud data has become more accessible and faster than ever. Be sure to introduce a point cloud viewer that fits your company’s needs and use it to promote on-site DX and improve operational efficiency.