"Runs in the browser" and "client side" isn't as much of a selling point to me as it's made out to be. It's a claim that I can't really validate until it's too late. If it's a commercial service I'm going to have to pay for, then maybe you should go all the way in gaining my trust with whatever safeguards it takes, so that I no longer care if I upload my data to your server or not.

"Large" generally means "bigger than RAM"; 10GB is medium-sized these days since it fits in most people's RAM. Does the browser actually have the (web worker?) APIs needed to stream and "upload" and "download"?

I don't get it. Are JSON and XML files more friendly to import vs CSV files? I always assumed CSVs were the standard. Any reasons to prefer structured formats?

Shameless plug: I am working on a similar problem of Excel not being a great tool for large datasets. My desktop app[1] lets you import raw data files and query them using SQL. (The website needs to be updated, the app looks much better than the current screenshots).

[1]: https://textquery.app

This type of thing is fairly trivial to create with ChatGPT running entirely locally in HTML.

A couple of kb of open standard vanilla js that does some simple things faster than legacy spreadsheets etc ever could.

Even to the point of creating invoices, reports etc based on standard filters stored in local storage…

Looks like you made it in lovable. It has that characteristic UI.

If so, how much time did it take you?

I think it should go without saying, but never use this with anything more relevant than a hobby project.

Doing this with any kind of data you don't fully own (e.g. data from your company) is a terrible idea, from so many standpoints. That it is "allegedly" running locally is not making it much better.

I think my question to OP is, who is this for. Any developer can write up a convert for his own datasets, in basically any case I can think of where you are handling large amounts of data you are building a pipeline to do cleanup, renaming, conversion, etc. Who wants to have a part of that pipeline be uploading the data into the browser?