aichat VS ocrmac

thanks for sharing this, I have been using aichat (https://github.com/sigoden/aichat) and shell_gpt for a while. Let's see how it works.

use LLMs (gpt-4-vision or LLaVA) with aichat

`aichat -f tmp/test.png -- output only text in the image`

https://github.com/sigoden/aichat

Tools required: https://github.com/yt-dlp/yt-dlp https://github.com/sigoden/aichat

Yes, I'm using for language learning. Usually via tool `https://github.com/sigoden/aichat` with different roles that I've created. For example for grammar ChatGPT generates bunch of examples for specific grammar rules, which I memorize.

I've been enjoying using aichat for command-line chatgpt access https://github.com/sigoden/aichat (it supports both an interactive repl mode and you can invoke it with your query directly from the command line like the helper used in this article).

https://github.com/sigoden/aichat Interactive or run it in one line Temporarily turn on multiple-line mode when you need

Nice post, OP! I was super impressed with the Apple's vision framework. I used it on a personal project involving the OCRing of tens of thousands of spreadsheet screenshots and ingesting them into a postgres database.

I used a combination of RHetTbull's vision.py (for the actual implementation) [1] + ocrmac (for experimentation) [2] and was pleasantly surprised by the performance on my i7 6700k hackintosh.

I wouldn't call myself a programmer but I can generally troubleshoot anything if given enough time, but it did cost time.

[1]: https://gist.github.com/RhetTbull/1c34fc07c95733642cffcd1ac5...

[2]: https://github.com/straussmaximilian/ocrmac