Scantic
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Scantic is a free iPhone app that films a subject and trains a Gaussian splat of it entirely on the device, with nothing uploaded.
Location
Vienna, Austria
Platform
iOS app (iPhone, iOS 17 or later)
GPU
None published beyond the device floor. Scantic states iPhone running iOS 17 or later, and capture, training and viewing all run on the iPhone's own GPU, so no desktop GPU is involved at any stage and there is no cloud step to fall back on
Pricing
Free on the App Store
License
Proprietary
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Best for
Training Gaussian splats on an iPhone without uploading anything
Updated
July 2026
Scantic is an iPhone application that films a room or an object while the user walks a slow circle around it, then trains a Gaussian splat of it on the phone. Sebastian Beyer built it, and it is free on the App Store for any iPhone running iOS 17 or later. The whole pipeline runs locally, so there is no account, no server queue and no upload, and a scan completes offline in a couple of minutes.
The application started as an attempt to train a splat on a fanless MacBook Air and ended up as a phone application, a route Beyer documented in a guest article on this site in August 2026. The version that shipped trains in about a minute on an iPhone, which is the point at which the workflow stopped needing a computer at either end of it. Scans export as PLY and SPZ, so a capture made on the phone opens in any standard splat editor or viewer.
Everything about the product is arranged around not moving data. Capture, training, storage and playback all happen on the handset, and the application collects no analytics and requires no sign in. Sharing is the one operation that touches a network, and a shared scan is encrypted on the phone before it is uploaded, with the decryption key travelling inside the share link itself rather than reaching the server. Shared scans sit on a server in Nuremberg, Germany, under EU law and the GDPR, and Scantic is built in Vienna, Austria.
Scantic guides the capture while it films, prompting the user to keep moving so that every side of the subject is covered, and more light produces a better result. The finished scan opens in an on device viewer that can be orbited to angles the camera never occupied, and scans accumulate in a local library rather than in a cloud account. Nothing in the workflow asks the user to understand what a Gaussian splat is.
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