Search: look-up-data-table

Add Data Column Add Data Row Build Data Table Clear Data Table Filter Data Table For Each Row Generate Data Table Get Row Item Join Data Tables Look Up Data Table Merge Data Table Output Data Table Remove Data Column Remove Data Row Remove Duplicated Rows Sort Data Table

Data Table

://docs.akabot.com/bin/view/Activities/Data%20Table/Activities/Join%20Data%20Table/]] * [[Look Up Data Table

/Activities/Add%20Data%20Row/]] * [[Build Data Table>>url:https://docs.akabot.com/bin/view/Activities/Data%20Table/Activities/Build%20Data%20Table/]] * [[Clear Data Table>>url:https://docs.akabot.com/bin/view

The DataTable Activities belongs to Core Activities Pack. It contains several activities that enable the robots to manipulate data tables by adding or extracting information. See also: Release Notes Activities

Data Table

Data Table

the robots to manipulate data tables by adding or extracting information. ))) See also: * [[Release Notes>>path:/bin/view/Activities/Data%20Table/%5B1%5D%20Release%20Notes/]] * [[Activities>>path:/bin/view/Activities/Data%20Table/Activities/]] ))) )))

. Adding a new table In order to create a new table, click [Add Field], select Data Type = “table

A basic element in the extraction schema is the data field. However, akaBot Vision enables the capture of even more complex structures like tables. Adding a predefined table field If you are missing

[4] Capture Custom Table Data

Capturing Custom Table Data in akaBot Vision

Customizing Data Extract

, click [Add Field], select Data Type = “table” and then input the value you want to create a new table

="wikigeneratedid" id="HParagraph1" %) A basic element in the extraction schema is the data field. However, akaBot Vision enables the capture of even more complex structures like tables. == **Adding a predefined table

. Table TAB – move between fields in the direction from the beginning of a row to its end. UP, DOWN

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

="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

Table Tabs Well Data Include components used to collect data Hidden Container Data map Data grid Edit

choose Form tab, then click Create New button. A window will show up, user enter the name of form

the ability to collect user data UI components are divided into 5 main groups, based on their functions

|((( * HTML element * Content * Columns * Field set * Panel * Table * Tabs * Well ))) |Data|Include components

will show up, user enter the name of form in **Name **(is required) and enter a brief description

provide users the ability to collect user data [[image:1695034818758-663.png||height="379" width="1014

started! If you want to give a look to the underlying XWiki Syntax, you can click on "Wiki code

of the XWiki Syntax you can use in wiki pages (headings, images, tables). Headings XWiki offers 6 levels

1 Numbered list Item Subitem Item Subitem Mixed list Item 1 Item 2 Item 3 Item 4 Item 5 Tables

}} If you want to give a look to the underlying [[XWiki Syntax>>XWiki.XWikiSyntax]], you can click on "Wiki

>>XWiki.XWikiSyntax]] you can use in wiki pages (headings, images, tables). = Headings = XWiki offers 6 levels

. Item 1 11. Item 2 11*. Item 3 11*. Item 4 1. Item 5 = Tables = You can create tables right into wiki

Each Pipeline defines the structure of Data fields that akaBot Vision extracts. Description When editing this structure you have two options: Use pre-trained Data fields – AkaBot Vision’s Generic AI engine has been pre-trained to recognize specific Data fields and enables you to start extracting data

[3] Configure Fields for Data Extraction

Customizing Data Extract

Configuring Fields for Data Extraction

** == Using pre-trained Data fields is simple. This function works out of the box and is easy to set up

="wikigeneratedid" id="HParagraph1" %) Each Pipeline defines the structure of Data fields that akaBot Vision

options: * Use pre-trained Data fields – AkaBot Vision’s Generic AI engine has been pre-trained

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

that you agree with akaBot Vision Terms & Conditions. Step 3: Click Sign up Note: You can register

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

in akaBot Vision How to set up Email Inbox How to send emails to your akaBot Vision’s Email Inbox

, you can upload documents manually or via the API. 2. Setting up email inbox Step 1: Each pipeline

" button Or staff can go to Settings and choose the pipeline needed to be set up email inbox Step 2

is Email Inbox in akaBot Vision * How to set up Email Inbox * How to send emails to your akaBot Vision’s

email inbox in your workflow, you can upload documents manually or via the API. == **2. Setting up

to be set up email inbox [[image:image-20221021095529-6.png||cursorshover="true"]] (% class="box

in the upper right corner. A pop-up will be shown. Then enter the account's information in all the fields

user’s inbox. Table of Content

"]] **Step 2**: Click on the **Add user** button in the upper right corner. A pop-up will be shown

" %) ((( ))) ))) (% class="akb-toc" %) ((( (% class="akb-toc-title" %) ((( Table of Content ))) {{toc depth="4" start="2"/}} ))) )))