Blurry and SuperSplat both turn Gaussian Splatting files into interactive browser experiences. But they are built around different priorities.

Blurry is a professional cloud for securely hosting, streaming, sharing, and annotating large reality-capture datasets. SuperSplat is strongest as an open-source editor and publishing ecosystem for individual 3D Gaussian Splatting scenes.

If you need to deliver large models to clients or colleagues, control how data is stored and shared, add business context, and rely on a managed partner, Blurry is the stronger fit. If you need granular tools to clean and edit individual splats, SuperSplat may suit you better.

Direct comparison

Where Blurry shines

Blurry is designed for the work that happens after reality capture. Upload a model and Blurry prepares it for the web through compression, generated levels of detail, and progressive streaming. This is particularly valuable for large sites and infrastructure scans that are impractical to download all at once.

Authors can add waypoints and rich annotations containing text, links, images, downloadable files, and embedded content. The finished scene can be shared or embedded for clients and colleagues who do not use specialist 3D software.

Most importantly, Blurry treats security and data safety as product requirements. Enterprise customers can use region-locked data, enterprise-grade security and reliability, custom delivery, and direct support. A managed cloud also means Blurry takes responsibility for processing, infrastructure, delivery, and maintenance instead of leaving customers to assemble and operate those parts themselves.

Where SuperSplat shines

SuperSplat offers powerful browser-based tools for selecting Gaussians, removing floaters, cropping, transforming and combining splats, adjusting appearance, inspecting data, and creating camera animations.

Its editor and viewer are MIT-licensed, giving technical teams the freedom to inspect, extend, and self-host them. SuperSplat also offers a polished hosted publishing workflow with cameras, annotations, post-processing, skyboxes, collision, embeds, and public discovery.

Pros and trade-offs

Blurry

Pros:

• Managed hosting, processing, compression, and streaming
• Built for large professional reality-capture models
• Enterprise security, reliability, and region-locked data
• Rich annotations with images, files, links, and embeds
• Straightforward sharing for non-specialist audiences
• Priority support, consultations, and bespoke delivery
• Native LCC2 ingestion alongside PLY workflows

Trade-offs:

• A commercial cloud product rather than an open-source editor
• Less granular per-Gaussian editing than SuperSplat
• More than some users need for small public showcases

SuperSplat

Pros:

• Powerful Gaussian-level editing and cleanup
• Free and open-source editor and viewer
• Strong animation and presentation tools
• Public discovery through profiles and Explore
• Self-hosting and extensibility for technical teams

Trade-offs:

• Hosted visibility is currently public or unlisted, which may not meet every organisation’s access-control or data-residency requirements
• Self-hosting provides control but makes the team responsible for infrastructure, upgrades, reliability, and support
• Professional users may need separate systems for secure client delivery and broader project workflows

The important distinction

Both products support meaningful parts of editing, viewing, publishing, streaming, annotations, sharing, and embedding. The difference is their core responsibility:

• Blurry puts the shared spatial dataset, its security, and the professional workflow at the centre.
• SuperSplat puts the splat and the creator’s editing workflow at the centre.

Which should you choose?

Choose Blurry when:

• Your models are large and need a managed processing and streaming service without manual intervention
• You are working with private, sensitive, or commercially important data
• Data residency, security, reliability, and support matter
• You deliver captures to clients, operators, or non-technical stakeholders
• Annotations, files, waypoints, branding, and guided review are part of the deliverable

Choose SuperSplat when:

• You want granular, per-Gaussian editing and cleanup
• You value open-source code and self-hosting
• You want a free tool for individual models
• You have the technical capacity to operate your own stack if necessary

Some teams may use both: SuperSplat as a workbench for detailed cleanup, and Blurry as the secure delivery and collaboration layer for the finished model.

Conclusion

Blurry is the better fit when a Gaussian Splat is part of a professional workflow: a large model that must be processed, stored safely, enriched with context, and delivered reliably. SuperSplat is one of the strongest open tools when editing the splat itself is the main job.

Choose based on what surrounds the model, not only what appears in the viewport.

Try Blurry or explore SuperSplat.