Search: get-web-attribute-1

: application/json Method: GET Request header: Authorization: Bearer {apiKey} Input parameters: Attribute Type

: GET Request header: Authorization: Bearer {apiKey} Input parameters: Attribute Type Description

: Attribute Type Description Required id string Document Id want to get info Yes Output: If success

parameters: |**Attribute**|**Type**|**Description**|**Required** |id|string|Document Id want to get info|Yes

/]] or [[http:~~/~~/idp.akabot.io>>url:http://idp.akabot.io/]] 1. **Get API Key:** Step 1: Go to {serverEndpoint

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

and then periodically check and get all ready files. For this mode, the user can follow 4 steps below: Step 1: The user

. The operation model of IDP in the context of automation processing is described below Step 1 and 2: Documents

from a human to correct or confirm. Operation Model There are 3 modes to get output from the akaBot

. == == == **Operation Model** == There are 3 modes to get output from the akaBot Vision system: 1. **Single Invoice

%20RPA/IDP%20Activities%20Package/#HImportDocument]] , 1*. Step 2: Get the document status by API [[Get

/#HExportDocument]] 1. **Manual Mass Invoice Processing Model**: User uses the GetDocument to get all documents

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 to "Confirmed" tab Step 2: Choose documents that need to be exported then click "Export" icon Step 3

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

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

to get documents Status: the status you want to get Ex: you can get all Confirmed documents at the pipeline having key 1. Get Document Status To get specific document status. There are 2 field you need

the status. You can check the status on akaBot Vision. Get Documents To get specific documents

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

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

if the value is true, otherwise remains the status. You can check the status on akaBot Vision. === **Get

User can receive extraction results of documents in akaBot Vision via API Output. By configuring an API to directly connect from akaBot Vision to user's systems, user will get extraction results. In this article, we will show you how to configure API Output Step 1: Go to Pipeline's Configuration Step 2

Get Results Via API Output

Get Results Via API Output

an API to directly connect from akaBot Vision to user's systems, user will get extraction results. 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

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

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

[1] Create New Learning Model

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

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