Apps Like T-tag for iPhone and iPad
T-tag screenshots
Ranked alternatives
Showing 81–100 of 1,000 ranked alternatives.




Tine Tag: Interactive sticker
Pristine Solutions, Inc
Record messages with smart stickers.
The app works with smart stickers to record video or audio messages. Users can scan a sticker to view a message and receive notifications when a sticker is scanned.



Nut - Smart Tracker
Beijing Zizai Technology Co.,Ltd.
Bind items and track their location
Bind the to important items to locate them via beeping. Use the to call your phone or vice versa if lost. Receive alerts when devices are disconnected to prevent loss.

Stud Finder & Metal Detector
Andrey Ivankin
Detect hidden objects with your phone
Detects ferrous metals like studs, screws, and nails behind walls. Scans surfaces to identify objects using magnetic field analysis. Provides visual, audio, and vibration alerts. Displays magnetic field strength in real-time.





FitCloudPro
欣 黄
Track workouts, sleep, and health data
Track daily steps, calories burned, and distance traveled. Monitor sleep stages including deep, light, and awake periods. Sync with smartwatches for real-time activity data. Set fitness goals and view progress over time.


Air Finder & Device Tracker
Oleh Tytov
Locate lost Bluetooth devices instantly
Locate lost Bluetooth devices using a detection radar to find nearby devices. Walk around to expand the search area. View real-time maps to track locations. Save money by avoiding replacement purchases.

NFC Tag Manager
Bruno Goncalves
Read and write NDEF tags easily
Read and write NDEF tags with plain text or URLs. Create and clean tags. View recently read tags. Share content via NFC.

uTracing
Universal Ascent Holdings Limited
Track items and connect to your phone
Track and locate Bluetooth-enabled items like keys or handbags using a smartphone . Set alerts for when items move out of range. Find lost phones by triggering a sound. Sync with Bluetooth 4.0 devices for reliable connection.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.