Hi Mukesh - quick question. I'm sure you have interacted w/ websites wherein when user uploads a document, the key data from that document (if available) is extracted and auto-populated into the fields of current page on website. Similarily, can this be done with DU wherein, a user uploading a certain expected document and DU extracts necessary metadata and autopopulates into the field within the website page?
Form Extractor: This is ideal when you're dealing with structured forms where the layout is consistent across documents. Regex-based Extractor: This is useful for extracting information for semi-structured or unstructured documents. Machine Learning Extractor: Best for documents that are highly variable in structure or when dealing with a mixture of structured, semi-structured, or unstructured documents.
Re framework is already available Robotic Enterprise Framework ruclips.net/p/PLEYSwx3duQ2BoRamKrEQ6qrZvrL-mAm7p For DU Framework , First we would complete the AI centre then the DU framework
@@MukeshKala Yes, I have already completed the Reframework series. I want to see how we can implement DU using Reframework and the DU framework. Want to know how DU is implemented in the companies in real-time automation.
Files downloaded. thanks for following up with us.
Superb !
Hi Mukesh - quick question. I'm sure you have interacted w/ websites wherein when user uploads a document, the key data from that document (if available) is extracted and auto-populated into the fields of current page on website.
Similarily, can this be done with DU wherein, a user uploading a certain expected document and DU extracts necessary metadata and autopopulates into the field within the website page?
Yes it can be absolutely done , once the data is extracted - here we are writing to excel we read the excel again and just upload the data
Hi Mukesh....In Which scenario you will use form, regex, ml-based extractor?
Form Extractor: This is ideal when you're dealing with structured forms where the layout is consistent across documents.
Regex-based Extractor: This is useful for extracting information for semi-structured or unstructured documents.
Machine Learning Extractor: Best for documents that are highly variable in structure or when dealing with a mixture of structured, semi-structured, or unstructured documents.
Hi! thanks for the video, but what if i want all of the rows in the same excel?
At the beginning .. you can create a blank datatable, keep adding data to that that dataTable and once done , write it back to excel
thank you for series one by one,it is very helpfull.
Glad to hear that
nice series
Thanks
Thank you for your detailed explanation for all your series ..one doubt how to handle exception for document understanding .
That is a part of document understanding framework- we can also do it here by just using try catch - better is to use the Du framework
@@MukeshKala Thanks for your reply..ok.got it framework itself handles exceptions ..
My API is not Generate. What can i do Sir?
How to Enable Document Understanding on Tenant | Get the Document Understanding API Key | UiPath
ruclips.net/video/_VRn5GmVsDY/видео.html
I request you make a video using ReFramework or DU Framework.
Re framework is already available
Robotic Enterprise Framework
ruclips.net/p/PLEYSwx3duQ2BoRamKrEQ6qrZvrL-mAm7p
For DU Framework , First we would complete the AI centre then the DU framework
@@MukeshKala Yes, I have already completed the Reframework series. I want to see how we can implement DU using Reframework and the DU framework. Want to know how DU is implemented in the companies in real-time automation.
Added present validation station ,validation done.
Awesome , Good to see the Progress
I am waiting for DU using machine learning extractor.
Working on it
extracted the data for one file
Great 😀
File downloaded
Nice
files downloaded
Awesome