I'm not sure which is more hilarious, calling Google docs "a format you fully control" or referring to a process that relies on Google docs and either OpenAI or Gemini "local".
By “fully control” I meant that the data ends up in a user-owned spreadsheet that you can export any time, rather than being locked inside a proprietary fintech platform.
And you’re right: it’s not strictly “local” if you use OpenAI or Gemini. The core pipeline runs locally (parsing/normalization/dedup) and doesn’t require Open Banking or any server-side infra, while categorization can be cloud-based depending on configuration.
I’ve updated the README to make this distinction explicit, and I’m also exploring a lightweight local categorizer for a fully offline setup.
I still don't understand why you'd push it into google sheets rather than just exporting a csv, or even a local spreadsheet file. It's not like you can't import those into google if you are a sucker for punishment.
francesco_gab|23 hours ago
By “fully control” I meant that the data ends up in a user-owned spreadsheet that you can export any time, rather than being locked inside a proprietary fintech platform. And you’re right: it’s not strictly “local” if you use OpenAI or Gemini. The core pipeline runs locally (parsing/normalization/dedup) and doesn’t require Open Banking or any server-side infra, while categorization can be cloud-based depending on configuration. I’ve updated the README to make this distinction explicit, and I’m also exploring a lightweight local categorizer for a fully offline setup.
Thanks for the comment.
stephenr|20 hours ago