検索：remove-data-row

, akaBot Vision provides users with the capability to add or remove rows in a table To insert a row, you can click "+" icon To delete a row, you can click "x" icon To add a new row at the end of the table

After importing the document successfully and the data extraction process is successfully finished

or remove rows in a table * To insert a row, you can click "+" icon * To delete a row, you can click "x

="wikigeneratedid" %) After importing the document successfully and the data extraction process is successfully

with this status in the “To review” tab in the user interface. [[image:image-20220420193327-1.png||data-xwiki

documents to extract data. Staff can create a new learning model by following these below steps: Step 1

fields by clicking button "Add field" or remove fields by unticking some fields. If staff doesn't

" button Note: Staff can not add, remove and configure fields after saving. So please check carefully

, send the learning models to production and use them to run on actual documents to extract data. Staff

button "Add field" or remove fields by unticking some fields. [[image:image-20230213141833-4.png

" %) ((( **Step 5**: Click "Save" button ))) (% class="box warningmessage" %) ((( Note: Staff can not add, remove

1. Create an Account Note: Although akaBot Vision currently supports Pre-trained data fields only for Invoice processing, the technology is documented agnostic and can extract data from any

customizable, so you can add/group/remove pipelines as needed. Table of Content

currently supports Pre-trained data fields only for Invoice processing, the technology is documented agnostic and can extract data from any structured document including receipts, purchase orders, shipping

-20220420182302-1.png||alt="image-20220420183141-4.png" data-xwiki-image-style-alignment="center"]] **Step 2

When you send a document to the pipeline, akaBot Vision will immediately start to extract the data from it. Description During this stage, the document has an importing status. In case something

will be removed and the new documents will appear in the pipeline. Those documents need to be reprocessed by AI

the data from it. == **Description** == (% class="wikigeneratedid" %) During this stage, the document has an importing status. (% style="text-align:center" %) [[[[image:image-20220420191058-1.png||data-xwiki-image

" %) [[[[image:image-20220420191111-2.png||data-xwiki-image-style-alignment="center"]]>>attach:image-20220420191111-2