Yup definitely, and this is exactly why I built my startup. I've heard this a bunch across startups & large enterprises that we work with. 100% automation is an impossible target, because even humans are not 100% perfect. So how we can expect LLMs to be?

But that doesn't mean you have to abandon the effort. You can still definitely achieve production-grade accuracy! It just requires having the right tooling in place, which reduces the upfront tuning cost. We typically see folks get there on the order of days or 1-2 weeks (it doesn't necessarily need to take months).

It really depends on their fault tolerance. I think there's a ton of useful applications where OCR would be 99.9%, 99%, and even 98% reliable. Skillful product manager can keep these limitations in mind and work around them.

... unavoidable "human in the loop" - depends imo.

From the comments here, it certainly seems that for general OCR it's not up to snuff yet. Luckily, I don't have great ambitions.

I can see this working for me with just a little care upfront preprocessing now that I know where it falls over. It casually skips portions of the document, and misses certain lines consistently. Knowing that I can do a bit massaging, and feed it what I know it likes, and then reassemble.

I found in testing that it failed consistently at certain parts, but where it worked, it worked extremely well in contrast to other methods/services that I've been using.