I'm thinking of adding support for text files. Only thing holding me back is that it would make the app much larger.

I'm also considering making the models more a la carte so you can manage which ones your want to use depending on your use case. That way you could use for text, image/video, or both.

How so? Indexing text seems fairly straightforward?

Adding more capability means adding another set of model weights.

Right but indexing text is, like, you already have the text…

For the best performance you'd probably want to use something other than CLIP's text encoder, but yeah you already have the text and could index it.

If enough people asked for it, I would consider adding a different embeddings models.

Exactly

The search bar in Finder does a decent job searching for text (recursively) in files and PDFs.

This app focuses on semantic search rather than full-text search, if I understand correctly.

Correct. No text search, but it's something I'd consider adding if enough people asked for it.

Yeah, I'd love an app on Windows that can index text files, images, and pdfs recursively through a directory.

I'm working on a Windows version! I'll let you know when it's ready.

Same - I kicked the tired with "Image Scan OCR" from the windows app store I think.. it can do a whole folder (batch process) of pics and extract the text into the sidebar, which is nice.. but it would be nice if the text was exported into a searchable thing and the text was linked to the pic/filename it came from..

Of course I want to search for data in my photo downloads / screenshots folders and be able to pull / easily grab / copy the pic(s) to another folder or upload to a site and then paste the text..

I guess chaining this into notion / obsidian or similar would be beneficial as well.