For anyone who wants to see the workflow before downloading the large app bundle, here’s a short demo: https://www.youtube.com/watch?v=QIt2H_CUYBM

As clever as this is, it seems like the names are fairly straightforward (as you'd want!) – did you try using the on-device Apple Foundation model at all? That's actually pretty powerful for a use case like this, and if you're happy to require the user has Apple Intelligence turned on already, your shipped app can end up being tiny. The biggest concern for an app like this is how much RAM you end up using trying to run it. Especially if we end up with lots of different apps all doing the same thing.

Being able to super-power apps with on-device models is a lot of fun. I recently did the same building my own dictation app using small local models, and I still can't believe how effective it is. The download is just 20mb, though it will download parakeet ~475mb for audio, but can use the on-device model as the second-pass LLM and works pretty well (though better models are available to download and use e.g. Llama 3.2 4bit and Qwen 2.5 7B 4bit)

I'm currently building a little tool for a professional photographer friend to go through and classify images in their photoshoots, so I can build a searchable db for them to quickly find very specific images in the future. I simply don't think it would have been possible for me to build a tool like that just a couple years ago at any price.

Nice use of local AI!