HowTall – LiDAR Height
HowTall – LiDAR Height is made and published by Shafkathullah Ihsan. AppBrain is an independent app data site and isn't affiliated with Shafkathullah Ihsan. The app name, icon, screenshots and description belong to Shafkathullah Ihsan and are shown as published on the App Store.
AppBrain's verdict
- Last updated
- August 31, 2026
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Releases
Updates seen on the App Store- Version
- 1.1
- Launched
- May 2026
No changelog data
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Technology
Found in the app by AppBrain- Price
- Free
- App size
- 1.32 MB
- Content rating
- Everyone
Technologies used by HowTall – LiDAR Height
About the app and developer
About HowTall – LiDAR Height
HowTall – LiDAR Height is an utilities app developed by Shafkathullah Ihsan.
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App Information
HowTall – LiDAR Height is freely available from the App Store. The app size is 1.32 MB. The latest version available is 1.1. The last update was on August 31, 2026.
Technical Requirements
The app has a content rating of Everyone. The app has been available on the App Store since May 2026.
Developer information for Shafkathullah Ihsan
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Store listing
By Shafkathullah Ihsan, from the App StoreDescription by Shafkathullah Ihsan Written by the developer, not by AppBrain. Click to read.
Point the rear camera at someone, and HowTall instantly projects their head and feet onto the floor plane to read their height — no tape measure, no markers, no setup. Everything runs on-device using ARKit body-pose tracking and the LiDAR depth sensor. No images or measurements ever leave your phone.
FEATURES
• Real-time, smoothed height readout
• LiDAR-accurate (uses the depth sensor, not camera estimation)
• Save measurements locally with an optional snapshot
• Share an annotated image via the iOS share sheet
• Fully on-device — no accounts, analytics, or servers
• Imperial and metric units
REQUIREMENTS
HowTall requires an iPhone with a LiDAR scanner: iPhone 12 Pro, 13 Pro, 14 Pro, 15 Pro, 16 Pro (or any newer Pro / Pro Max). iOS 17 or later.
PRIVACY
HowTall does not collect any data. The camera and LiDAR feed is processed in memory and discarded — no images, depth maps, or measurements are transmitted off the device.