fred123

It’s just $20, that’s almost free compared to cost of human labor

With an LLM integrated into your IDE like Cursor or Copilot, oftentimes the LLM autocompletes the correct code faster than I can think about what must be done next. I’ve been coding for 15 years.

I feel like text detection is much better covered by the various ML models discussed elsewhere in the comments. Maybe you can combine those with Live Text. I found Tesseract pretty ok for text detection as well but I don’t know if any of the models are good for vertical text.

Fair enough. There are some new OCR APIs in the next macOS release. I wonder if the model has been improved.

You can get them through the Vision API (Swift/Objective-C/AppleScript)

It seems to struggle with German text a lot (umlauts etc)

Azure Vison OCR is supposed to be the best commercial OCR model right now and it’s really cheap (same price as Google‘s)

IIRC Tesseract is trained on 300 DPI

Something wrong with your setup. It should be less than 30 s per page with your hardware

macOS Live Text is incredible. Mac only though

> sharing state between threads is such a narow niche use case

It is the norm. „Kafka scale“ problems are not the norm.

Do you think Meta (Instagram) are pushing GIL removal and Cinder for no reason? They clearly have that scale and still benefit from faster single machine performance

Why? On AWS you can rent a 24 TB, 500 core machine. Almost all problems are smaller than that so don’t need to scale to more than one machine.

Building applications that run on multiple machines is at least one order of magnitude more complex and thus slower (in development velocity), so needlessly building an application to work distributedly is just bad engineering.

In most parts of Europe the standard room socket has >= 3.6 kW