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> honestly this would be better with an AI model

In the article the author tried Tesseract which uses ML and has some neural network models, and also tried ChatGPT.

I have come to the same conclusion as the author when doing OCR that needed 100% accuracy.

When you know the font, spacing and the layout is fixed, old school statistical analysis of the pixels works a treat.

Completely second that. This is my experience as well.

You can generalize that to anything: when you know the problem domain so well, why the hell are you using ChatGPT to solve any problem within it? Use the most specialized tool for the job or you're just wasting CPU and memory (and electricity, and money, and time). Same goes for a neural net trained on every possible character set. If you know the font and character size in advance it's way overkill.

It's a bit more effort to set up since you actually have to set it up. But at least it's done right.

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