Paperless-ngx does include OCR, as well as supporting document types (which can have fields, etc) - but there is no built-in way to intelligently extract field values. You can use the python API to access & update the data and fields. So field extraction via your own code is feasible.

Given the large variety in receipt layout & potential for habdwritten totals after tips - I’d encourage part of your workflow to include manual ispection/correction of every processed receipt - or at the bare minimum that you include check-in points where you verify your end balances 100% match after all transactions have been entered, so you can detect & root-cause errors ASAP.

https://github.com/NeptuneHub/AudioMuse-AI ?

I use Feishin on desktop instead of the webapp. But otherwise - same setup!

Not saying it’s perfect but doesn’t Yacy do this?