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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

Trigger Choose a trigger at the table below, then click this button to edit that trigger 3 Enable/ Disable/ Delete trigger Choose a trigger at the table below, then click this button to enable/disable/delete

the protocol: IMAP/ POP3 Dropdown Yes 3 Host Insert your email host Email Yes 4 Port Choose the port

at the table below, then click this button to edit that trigger |3|(% style="width:264px" %)**Enable/ Disable/ Delete trigger**|(% style="width:816px" %)Choose a trigger at the table below, then click this button

" %)Host|(% style="width:489px" %)Insert your email host|(% style="width:169px" %)Email|(% style="width

, data tables or other types of collections. (* for Mandatory) Properties Input Values (IEnumerable)*- Iterate through the data and process each piece of information individually. Able to input variable

it, the data of this activity will be shown in the log. Be careful, consider data security before using

" %) ((( RCA.Activities.Core.ForEach == **Description** == This activity allows you to loop through arrays, lists, data tables

) == **Properties** == **Input** * **Values (IEnumerable)***- Iterate through the data and process each piece

. E.g: [389861710] For Each < T > * **Public (Checkbox)** - If you check it, the data of this activity

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

choose base model, staff will have to create form fields and table from scratch Step 5: Click "Save

. With the Form Fields, staff should label both "Label" and "Value" for each field if having enough data

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

||cursorshover="true"]] * If staff doesn't choose base model, staff will have to create form fields and table

" for each field if having enough data in documents. This helps the model will extract data more exactly

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

="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 to recognize specific Data fields and enables you to start extracting data without any additional training

) In the body of the activity URL to be inserted (String)* - The URL that you want to open in the browser

if you want to public it. Remember to consider data security requirement before using it. Display name

** == * **URL to be inserted (String)*** - The URL that you want to open in the browser. The URL must be quoted

” **Misc** * **Public (Checkbox)** - Check if you want to public it. Remember to consider data security

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

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

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

to fill in. Then click Save when you are done. The below table describes frequently used configure

|((( * HTML element * Content * Columns * Field set * Panel * Table * Tabs * Well ))) |Data|Include components used to collect data|((( * Hidden * Container * Data map * Data grid * Edit grid * Tree ))) |Premium

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

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

1. Introduction This document will guide you on how to install Data Service on Linux (Ubuntu

needed to run on your system: akabot_dataservice, akabot_userdata. Data Service web service

Table of Content

Data Service

[3] Data Service Installation

** === This document will guide you on how to install Data Service on Linux (Ubuntu) server. === **2. System

))) There are two database schemas needed to run on your system: akabot_dataservice, akabot_userdata. Data Service

: [email protected] ))) (% class="akb-toc" %) ((( (% class="akb-toc-title" %) ((( Table of Content

: Choose Automation Type and set conditions for required fields and data formats The Automation Type

will be bypassed Bypass wrong data formats: All the documents with wrong data formats inside will be moved

. If you turn this mode on, all the wrong data formats will be bypassed Step 3: Click [Save] to save

Customizing Data Extract

Automation Type and set conditions for required fields and data formats ))) * The Automation Type will have

fields will be bypassed * Bypass wrong data formats: All the documents with wrong data formats inside

these later. If you turn this mode on, all the wrong data formats will be bypassed [[image:image