[MenhirMike]

How would LLMs really help though if all you get is usually an order number? I mean, it can probably figure out that an order from McDonalds is food related (though does it get categorized as "Everyday Lunch" or "Going out with Friends" or "Work Events"?) and Geico will probably be some sort of Insurance - but that would just be a large database of common payees, no real need for any AI. That said, if you're importing years worth of data, it would be a great starting point to get ballpark estimates of where your money goes, so that has value.

And then there's e.g., "Amazon Transaction AB2314ACWERF" which could be a new Fridge ("Household Appliances"), a 3D Printer ("Hobby Expenses"), a video game ("Entertainment Expenses"), or a giant double-headed adult massager ("Fax Machine Maintenance") - but the bank statement wouldn't have enough information.

[plibither8]

Yep, that's one of its deficiencies! For me, something like GPT helps in triaging and "cleaning up" bulk of the transactions, with little micro-categorization left to be manually done.