Search: type-into-1

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

. 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

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

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

with document type is the model name that has been trained successfully Note: Staff can bypass training some

[1] Create New Learning Model

" %) ((( **Step 1**: Go to "Learning Models" tab ))) [[image:image-20230213140541-1.png||cursorshover="true

successfully, staff can use that model to extract data by creating new pipeline with document type is the model

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

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

and the Customer. Article 1. Subjects and scope of application This Policy governs the way in which FIS collects

with applicable laws. Article 5. Types of Personal Data collected and processesd by FIS In order for FIS

to collect and/or request to collect the following types of Personal Data: 5.1. Basic Personal Data

between FIS and the Customer. **Article 1. Subjects and scope of application** This Policy governs

of the Policy. **Article 2. Interpretation of terms** 1. “Customer” means an individual who approaches, learns, registers, uses or is involved in the operation and provision of FIS products and services. 1. “FIS

Cookie Policy Last Updated: September 17, 2023 1. Introduction On akabotvision.com, we use

to configure your settings.  3. What are the types of cookies? Strictly necessary cookies. These cookies

contains only anonymous usage data such as type of web browser, internet service provider, operating system

: September 17, 2023** **~1. Introduction ** On akabotvision.com, we use cookies or other information

. What are the types of cookies? ** //Strictly necessary cookies.// These cookies are essential

contains only anonymous usage data such as type of web browser, internet service provider, operating system

adjustments by: Clicking and pointing. Dragging the rectangle. Typing the text directly.

-20220420185243-1.png]]>>attach:image-20220420185243-1.png]] (% style="font-family:Arial,Helvetica,sans-serif

-family:Arial,Helvetica,sans-serif" %)Typing the text directly. ))) ))) ))) )))

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

of them should be extracted. (% style="text-align:center" %) [[image:image-20220421003652-1.png||data

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