SealSkin vs Roomly 3D
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
SealSkin
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SealSkin is a self-hosted, client-server platform that enables users to run powerful, containerized desktop applications streamed directly to a web browser. This application allows launching of applications and collaborative sessions on your SealSkin server while providing a full management interface to administrators. To use this App on iOS the server will need a legitimate SSL certificate placed in /config/ssl. Server Component: https://github.com/linuxserver/docker-sealskin
Roomly 3D
Capture high-quality 3D data for 3D Gaussian Splatting and photogrammetry with an intelligent auto-capture engine. Process scans locally with real-time LiDAR tracking and review colored point clouds in a private, dark-mode interface.
- Smart auto-capture engine
- Real-time LiDAR tracking
- Instant local mesh processing
- Colored point cloud review
- Private by default data handling
- Optimized for 3DGS workflows
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Every room. Every state. Saved. Roomly 3D turns your iPhone Pro's LiDAR sensor into a precision room scanner. Each capture preserves synchronized colour, depth, and camera pose, so the result can be turned into a photoreal 3D model for evidence, virtual tours, or comparing a space across time. WHAT IT'S FOR • Evidence preservation — insurance claims, rental move-in/move-out, property disputes • Virtual tours — remote viewing for sales or sharing • State diffing — comparing a room's state across time HOW IT WORKS • Walk through a room with your iPhone. Roomly 3D auto-captures sharp frames at the right moments — no shutter button to press. • A live coverage overlay colours the room as you scan, showing which surfaces are done and which still need a pass. • Motion and sharpness gates reject blurry or rushed frames before they are ever written, so what you take home is clean. • Stop when the room reads as fully covered. Share the result as a single archive, or save the raw scan to Files. OUTPUT • Industry-standard Nerfstudio-compatible format (transforms.json + RGB JPGs + depth EXRs + LiDAR mesh) • Drop straight into Nerfstudio, DN-Splatter, or any 3D Gaussian Splatting / NeRF pipeline that reads the Nerfstudio schema • Metric scale: one unit is one metre, no rescaling needed REQUIREMENTS • iOS 17 or later • LiDAR RGB-D capture — the full depth pipeline and the live coverage overlay — requires an iPhone Pro with a LiDAR sensor (12 Pro family and later). Without LiDAR the app still runs and captures a camera-only sequence, but depth and the coverage overlay are unavailable. PRIVACY • All processing happens on your device. • No analytics, no accounts, no third-party SDKs, no data leaves your phone.
Screenshots
Verdict
The clearest difference is price: SealSkin at Free against Roomly 3D's $1.99. Roomly 3D's advantage is update cadence (every 2 weeks vs every 3 months) and iOS requirement (17.0 vs 26.0). On ads, in-app purchases and device support there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
SealSkin is free to download; Roomly 3D costs $1.99 up front. Neither carries in-app purchases, so what you see is what you pay.
SealSkin ships an update every 3 months, Roomly 3D every 2 weeks. The most recent releases landed on October 16, 2026 and October 20, 2026 respectively.
| Parameter | SealSkin | Roomly 3D |
|---|---|---|
| Price | Free — better | $1.99 |
| Rating | — | 5.0 (1 ratings) — better |
| Number of ratings | — | 1 — better |
| Update frequency | Every 3 months | Every 2 weeks — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | — | Free |
| Devices | iPhone, iPad | iPhone, iPad |
| Requires iOS | 26.0 | 17.0 — better |
| Further details — not scored | ||
| Size | 3 MB | 8 MB |
| Age rating | 17+ | 4+ |
| Developer | Ryan Kuba | Hangfang Zhang |
In-app purchases
SealSkin
No in-app purchases
Roomly 3D
No in-app purchases









