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Configure Automation Type for pipeline Staff can configure the Automation Type for each pipeline by following these steps Step 1: Go to Pipeline's configuration, choose "Automation & Fields" tab Step 2: Choose Automation Type and set conditions for required fields and data formats The Automation Type

[2] Configure Automation Type for Pipeline

Configure Automation Type for Pipeline

Automation Type for pipeline ** == (% class="wikigeneratedid" id="HStaffcanconfiguretheAutomationTypeforeachpipelinebyfollowingthesesteps" %) Staff can configure the Automation Type for each pipeline by following these steps (% class="box infomessage" %) ((( **Step 1: **Go to Pipeline's configuration, choose "Automation & Fields" tab

to capture. In this article, we will show how to add field for model There are 2 types of fields: Form Field and Table Field 1. Add Form Field Step 1: On Add Learning Instance screen, click "Add Field" button on the line of "Form Field" Step 2: Input the field name on "Label" field and choose data type for field

types of fields: Form Field and Table Field == **1. Add Form Field** == (% class="box infomessage" %) ((( **Step 1: **On Add Learning Instance screen, click "Add Field" button on the line of "Form Field

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

Notification Details will show errors in the automation processes and Notificaiton Details is symboled by the ring icon which is next to Help button. There are 2 types of errors: Error Documents and Error Models 1. Error Documents Documents which are defined as Error Documents will have these below

(% class="akb-page-with-toc" %) ((( (% class="akb-page-content" %) ((( ((( ((( Notification Details will show errors in the automation processes and Notificaiton Details is symboled by the ring icon which is next to Help button. There are 2 types of errors: Error Documents and Error Models == **1. Error

1. Create an Account Note: Although akaBot Vision currently supports Pre-trained data fields

@akabot.com for more detail. Step 1: To create an account, head to the akaBot Vision registration page

password, you need to adapt the below policy: Minimum password length: 8. Require at least 1 lowercase

[1] Create an Account

" %) == **1. Create an Account** == (% class="box warningmessage" %) ((( **Note:** Although akaBot Vision

. ))) Step 1: To create an account, head to the akaBot Vision registration page. [[image:image-20220420182302-1.png||alt="image-20220420183141-4.png" data-xwiki-image-style-alignment="center"]] **Step 2

. In this article, we will show you how to configure API Output Step 1: Go to Pipeline's Configuration Step 2

Step 4: Choose authorization type. There are 2 type of authorization: No Auth and Bear Token If staff choose that Authorization Type is Bear Token, staff need to input the token into "Token" box Step

. In this article, we will show you how to configure API Output (% class="box infomessage" %) ((( **Step 1**: Go to Pipeline's Configuration ))) [[image:image-20230210174521-1.png||cursorshover="true"]] (% class="box

" %) ((( **Step 4**: Choose authorization type. There are 2 type of authorization: No Auth and Bear Token

A Pipeline is the basic document processing unit of the akaBot Vision. For every document type

a new one just follow the steps below: Step 1: After login, on the Home screen, click "+ Pipeline" button in the upper left corner Step 2: Fill the pipeline name Step 3: Choose the document type

[1] Pipeline

document processing unit of the akaBot Vision. For every document type (such as invoices, packing lists

the steps below: **Step 1**: After login, on the Home screen, click "+ Pipeline" button in the upper left

.png||height="356" width="549"]] **Step 3**: Choose the document type. A document type is a predefined

Staff can get the result of documents in akaBot Vision by exporting them. After documents are confirmed, a staff can export results. In this article, we will show how to export documents Step 1: Go

: Staff  choose file type that staff wants to export then click "OK" button

infomessage" %) ((( **Step 1**: Go to "Confirmed" tab ))) [[image:image-20221021140511-1.png]] (% class="box

))) [[image:image-20221021140817-3.png]] (% class="box infomessage" %) ((( **Step 3: **Staff  choose file type

Report Center is used to set up which information that users want to be reported via email. Users can access and set up the Report Center by following these steps: Step 1: Click Tenant Settings at the top menu bar, then choose Report Center on the left side Step 2: Type the email address

**Report Center** is used to set up which information that users want to be reported via email. Users can access and set up the Report Center by following these steps: **Step 1**: Click Tenant

||height="455" width="864"]] **Step 2**: Type the email address will receive the report[[image:image

. You can use this key from the import document activity. Extract type: you can choose DataTable/Json

at the pipeline having key 1. Get Document Status To get specific document status. There are 2 field you need

Automation Type is Always, then export them and change the status. Import all the files in a folder

-20220420200751-1.png||cursorshover="true"]] === **Import Document** === (% class="box infomessage

type: you can choose DataTable/Json/XML format. * Update status to exported: status is updated

documents at the pipeline having key 1. === **Get Document Status** === (% class="box infomessage

will follow the API Details below API Details 1. Import Document Purposes: Documents can be imported

/uploadFile/{pipelineId} Content-Type: multipart/form-data Method: POST Request header: Authorization: Bearer {apiKey} Input body: Attribute Type Description Required pipelineId string Pipeline’s id Yes files Form

%20Lifecycle/Overview/]] 1. **Document model type:** |**Attribute**|**Type**|**Description** |aiResponse

?** == [[image:attach:IDP Sequence (1)-Page-1.drawio.png||cursorshover="true"]] === **a. Import Document** === The user

.  [[image:image-20230221102727-1.png||cursorshover="true" height="226" width="1097"]] Then user can upload