Very hopeful of the multi-file stuff from jan.ai --- in the meanwhile, it's easier using Co-pilot for this than:
- isolating 50 files at a time
- dragging them into Adobe Acrobat
- closing each w/ ctrl w
- tapping enter to confirm saving
- typing the Invoice ID
- repeating until all 50 have been done, then remembering to quite Adobe Acrobat so as to re-launch it and repeat (can't leave it running, because there is a (reported) bug where after doing this several times, it stops saving)
- running a batch file made from a concatenated column in a spreadsheet to rename the files
The next question is when there will be an LLM front-end which can:
- open each file in a folder, parsing the content
- open each file in a PDF viewer
- fill in the entry fields of a Java application
- wait for the user to review both windows, if necessary, correct/update what was entered and save, then repeat for the next file
Ah well, job secure, even when that happens (though maybe hours would be cut back?) --- the big question is when LLMs will be reliable enough that human review is no longer viewed as worth the expense of a salary.
- isolating 50 files at a time
- dragging them into Adobe Acrobat
- closing each w/ ctrl w
- tapping enter to confirm saving
- typing the Invoice ID
- repeating until all 50 have been done, then remembering to quite Adobe Acrobat so as to re-launch it and repeat (can't leave it running, because there is a (reported) bug where after doing this several times, it stops saving)
- running a batch file made from a concatenated column in a spreadsheet to rename the files
The next question is when there will be an LLM front-end which can:
- open each file in a folder, parsing the content
- open each file in a PDF viewer
- fill in the entry fields of a Java application
- wait for the user to review both windows, if necessary, correct/update what was entered and save, then repeat for the next file
Ah well, job secure, even when that happens (though maybe hours would be cut back?) --- the big question is when LLMs will be reliable enough that human review is no longer viewed as worth the expense of a salary.