This is not comparable. Google runs models on professional GPUs, while this app can only use Apple chips, so there is a big difference in the size of models that can be run.
Offline search lets you not worry about anyone invading your album privacy, including Google.

You're right. There were some optimized work by Google called ScanNN, which is much faster on large scale vector similarity search. However, it's much more complicated to port this model to iOS.

I implemented the part of cosine similarity calculation myself, as for the topK, you can use .sort().prefix(k) in Swift.

Unfortunately I don't know how to develop android :-(

I've generated more 20 codes.

It's normal cause it will only show the 12 most similar photos in current version, may set it to be configurable in the next version.

Super thanks, I'm encouraged

You moved me to tears😭

But sent dozens of promo code LOL.

Currently 6.3$(one purchase).

The product was on the App Store yesterday, and as a non-English speaker, it's really hard for me to promote it in English-speaking regions :-(

Good idea! I'll learn how to convert iOS app to MacOS.

Major issues was CoreML operator support, another reason was, iOS 16.0 may block away some very old iPhone (below X), otherwise users paid but run CLIP very laggy, which is bad experience. Of course I admit that the UI of iOS 16.0 is really ugly