License & Deployment Mix: 1 tool – 0 OSS, 0 SaaS. (OSS and SaaS counts can overlap when an open-source tool also offers a vendor-hosted edition.)
What Is Reality Capture?
Reality capture is the process of recording a physical space as digital data and then viewing, measuring, and annotating that data as a faithful “as-built” record. Two data types dominate:
- 3D point clouds – millions to billions of measured points produced by LiDAR / laser scanning or photogrammetry, each with a position (and often color/intensity), forming a dimensionally accurate 3D representation of a space
- 360 panoramas – immersive spherical photos captured at scan positions that provide photographic context and let a reviewer “stand” inside the captured environment
A reality-capture viewer lets users navigate that data, take measurements (distances, areas, clearances), drop annotations, and share the result. The value is being able to inspect and document a site without physically returning to it.
Common use cases:
- Factory / plant documentation – as-built records of production floors and equipment layout
- Construction progress – periodic scans that track build status against plan
- Digital twins – a visual, measurable representation of a facility kept alongside its operational data
- Facilities management – clearance checks, space planning, and remote inspection
Key evaluation concerns for this category:
- Large point-cloud rendering – streaming and level-of-detail so billion-point scans stay interactive in a browser or on a workstation
- Measurement accuracy – trustworthy distances/areas derived from the captured data
- Web vs desktop viewing – browser access for broad review vs desktop clients for heavier work
- Self-host vs cloud – whether capture data can stay on-premises (important for sensitive industrial sites) or must live in a vendor cloud
- Formats – point-cloud exchange formats such as E57, LAS/LAZ, PLY, plus panorama tile sets and vendor-specific project containers
The information on these pages was researched by a combination of human review and large language models. To suggest an addition or correction, please contact us. Prepared by Rhodium Systems Inc., author of the ResorsIT platform — a unified IT operations management platform for IT teams and MSPs that integrates a curated suite of open-source, commercial, and SaaS applications into a single system with shared identity, single sign-on, access control, and a common audit trail. Use this catalogue only as a starting point for your own research, and review any tool carefully against your own requirements before relying on it. Catalogue data version 2026.197.
Comparison
Only f360 Vision has a detailed evaluation so far, so the matrix below has a single row. It is structured to grow as commercial players such as NavVis IVION, Matterport, Leica JetStream, Autodesk ReCap, Faro WebShare, and Pointfuse are added.
Feature Matrix
| Tool | Point cloud | Panorama | Self-host | License | Web viewer | Desktop app | Measurement | Formats |
|---|---|---|---|---|---|---|---|---|
| f360 Vision | Yes | Yes | Yes (Docker) | Proprietary | Yes | Yes (Win/Mac/Lin) | Yes | .f360 project |
Notes
- Self-host – f360 Vision ships a Docker-based on-prem server, so capture data can stay entirely within the customer network (air-gap friendly). Most enterprise competitors are cloud-hosted.
- Web + desktop – f360 Vision serves both a browser viewer and cross-platform desktop clients from the same backend.
- Formats – f360 Vision uses its proprietary
.f360project container. As more tools are added, expect a wider format column covering E57, LAS/LAZ, PLY, and panorama tile sets. - SSO – no native OIDC/SAML is documented for f360 Vision; front the web viewer with Authentik via a reverse proxy. See f360-vision.md.
Tools
1 tools.
f360 Vision
Self-hosted 3D point-cloud and panorama viewer for documenting and measuring industrial environments.
License: Proprietary (proprietary) · Kind: web · Deploy: docker, native · SSO: none
