I have an app where people scan their retail/restaurant/cafe receipts and store them. I use Gemini 2.0 for OCR.

It is right more than 99% of the time. I would be making many more errors transcribing the receipts manually.

AIs are a different kind of tools, for a different kind of problems, with a different kind of failure cases.

In the app, I am, in fact, using AI/ML tech and I'm saying it's very accurate for my use case, as a counterpoint to the parent comment which says AI works in 1% cases, maybe.

But since you brought it up, this workflow works better than the supposedly "99.999999% right all the time" traditional code (traditional OCR tools).

Hope this clears it up.

just write another prompt

edit to say:

One of the best skills for developers is to lookup information using search engines. All the information is out there already you just need an understanding what you are looking for. This is similar to painting the colors are there already but not everyone is a good painter. LLMs empower skilled developers and do the boilerplate work usually done by mediocre developers. Later on it will depend on who can write the best prompt but that requires understanding.