WiFi Credential Camera Scanner

A mobile app that uses computer vision and AI to read handwritten or printed WiFi credentials from posters, cards, or papers, then automatically connects to the network. Perfect for travelers who frequently encounter WiFi credentials in cafes, Airbnbs, and hotels.

Smartphone cameras and on-device ML (via Core ML and ML Kit) have made OCR on arbitrary handwritten text genuinely reliable for the first time, which is what makes this viable now rather than five years ago when it would have been too brittle to ship. Google Lens already does a version of this — it can read a WiFi password and offer to connect — so the incumbent isn't a startup, it's a feature inside a product a billion people already have. That ceiling makes the $500–2k/mo revenue band realistic but also the upper limit; charging for something Google gives away free means the addressable paying audience is narrow, probably power travelers willing to pay a one-time $2–4. The most likely failure mode is that Google Lens quietly improves its own WiFi detection and the use case disappears as a standalone value proposition entirely.