Search: look-up-data-table

. 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

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"/}} ))) )))

and choose data type is "Table". Step 3: (This step is optional) Turn on button "Required" to set require

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

and Table Field 1. Add Form Field Step 1: On Add Learning Instance screen, click "Add Field" button

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

types of fields: Form Field and Table Field == **1. Add Form Field** == (% class="box infomessage

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

When you send a document to the pipeline, akaBot Vision will immediately start to extract the data

of the screen. Clicking this button will bring up a Document editing screen where you will see the list

splitting suggestions available in the app. Table Of Content

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

Automation of Fields Capture Custom Table Data Configure Automation Type for Pipeline Configure Fields for Data Extraction

[6] Customize Data Extract

Customizing Data Extract

* [[Automation of Fields>>path:/bin/view/akaBot%20Vision/Customizing%20Data%20Extract/Automation%20of%20Fields%20in%20akaBot%20Vision/]] * [[Capture Custom Table Data>>path:/bin/view/akaBot%20Vision

/Configure%20Automation%20Type%20for%20Pipeline%20/]] * [[Configure Fields for Data Extraction>>path:/bin

extracting the data fields. The AI extraction typically takes up to 5 seconds for 1 A4 page. After

]] [[image:image-20220420184331-2.png||data-xwiki-image-style-alignment="center"]] Click “OK” and the AI will automatically begin extracting the data fields. The AI extraction typically takes up to 5 seconds for 1 A4 page. [[image:image-20220420184331-3.png||data-xwiki-image-style-alignment="center"]] After processing