検索：add-data-column

for field Step 4: Click "Add Column" button to add column for table Step 5: Input column name and data type for each column Step 6: Click "Save" button Table of Content

to capture. In this article, we will show how to add field for model There are 2 types of fields: Form Field

[2] Add New Field for Model

Add New Field for Model

"]] (% class="box infomessage" %) ((( **Step 4: **Click "Add Column" button to add column for table

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

needs to define field to capture. In this article, we will show how to add field for model There are 2

documents to extract data. Staff can create a new learning model by following these below steps: Step 1: Go to "Learning Models" tab Step 2: Choose "Add Learning Model" button Step 3: Input Model

choose base model, this new model will get all the fields that the based model has and staff can add more

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

"]] (% class="box infomessage" %) ((( **Step 2**: Choose "Add Learning Model" button ))) [[image:image

, this new model will get all the fields that the based model has and staff can add more fields by clicking

. 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

some fields when capturing data from the document, navigate to the Fields to Capture tab in the queue

[4] Capture Custom Table Data

Customizing Data Extract

Capturing Custom Table Data in akaBot Vision

, 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

field** == If you are missing some fields when capturing data from the document, navigate to the Fields

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 can click "+" icon To delete a row, you can click "x" icon To add a new row at the end of the table

="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

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

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