検索：remove-data-column

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

and data type for each column Step 6: Click "Save" button Table of Content

on the line of "Form Field" Step 2: Input the field name on "Label" field and choose data type for field on "Data Type" field Step 3: (This step is optional) Turn on button "Required" to set require for field

column name and data type for each column ))) [[image:image-20221028164801-15.png||cursorshover="true

the field name on "Label" field and choose data type for field on "Data Type" field ))) [[image:image

the table name on "Label" field and choose data type is "Table". ))) [[image:image-20221028164141-11.png

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

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

, akaBot Vision provides users with the capability to add or remove rows in a table To insert a row, you

Shortcuts When reviewing documents in akaBot Vision, there are multiple ways of moving between data fields

="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

in each field that has been detected incorrectly [[image:image-20220420193327-2.png||data-xwiki-image

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

collectively referred to as the “Parties” or individually as a “Party”.“  Content” means any data, whether

to the akaBot Vision Solution with the purpose of processing them and extracting Parsed Data.  “Parsing Rule(s

algorithm what nature and kind of data the Client wants to pull out from the Processed Documents.  “Parsed

may remove Processed Documents, Content, Parsed Content and Accounts containing data that the Service

”.“  \\Content” means any data, whether personal or not, contained in the Processed Document sent by the Client

Parsed Data.  \\“Parsing Rule(s)” means the collection of simple instructions, standard or tailored

columns :

</a> <a href="/bin/view/akaBot%20Vision/Quick%20start%20guide/Validate%20the%20Data/">Validate the Data

-card-title">Customize Data Extract</div> <div class="akb-card-body"> <div class="akb-link