Sure, but OCR doesn't need ML and high-end SoCs to work well.
We had great OCR in $50 printer-scanner combo devices for home users and those didn't have M1 chips but some dirt cheap HW and Windows software to do the OCR(most likely using the Tesseract library which runs on a toaster).
So the everyday need for ML in everything in our lives is greatly exaggerated.
It doesn't have to be Tesseract specifically, there are other OCR libraries that work better and are licensed by several products(I think Abby licenses theirs).
But that wasn't my main point. Similar to Tesla popularizing ML-driven self parking, which doesn't work any better than the PID/Kalman filter methods already in use by others for the past 10+ years, my point was that today we're seemingly shoehorning ML into solving problems that have already been solved by "boring" traditional engineering solutions for over 10 years now, just to feed the AI product hype, similar to the digital camera megapixel race, or other such nonsense that offered no measurable upgrade in quality but looked good on product stickers to move merchandise at higher prices.
That we're accepting apps so bad that we normalized the workflow of the only way to extract text from them is screenshots and OCR.
Can you imagine having to deal with this shit on PCs as well?