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status). Find that all the extracted data is ok, they can click Confirm button then this document

. If the pipeline's setting is turning on Auto Split button, the documents which are merged from multiple documents

to the Postponed tab (Switching to Postponed status). * Find that all the extracted data is ok, they can click

. If the pipeline's setting is turning on Auto Split button, the documents which are merged from multiple documents

will be also deleted. Moreover, documents usage data will be deleted from statistics Step 3: Click

data will be deleted from statistics ))) [[image:image-20221019135915-7.png||cursorshover="true

When you send a document to the pipeline, akaBot Vision will immediately start to extract the data from it. Description During this stage, the document has an importing status. In case something went wrong during the upload stage or later during the importing stage, the document will fail

the data from it. == **Description** == (% class="wikigeneratedid" %) During this stage, the document has an importing status. (% style="text-align:center" %) [[[[image:image-20220420191058-1.png||data-xwiki-image

" %) [[[[image:image-20220420191111-2.png||data-xwiki-image-style-alignment="center"]]>>attach:image-20220420191111-2

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

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

-1419-021 (Ramcharan, Ryan Thomas).pdf",   "pipelineName": "not split never auth",   "data

: 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

some fields when capturing data from the document, navigate to the Fields to Capture tab in the queue settings. In this tab, you can manage pre-trained data fields and select which of them should be extracted

A basic element in the extraction schema is the data field. However, akaBot Vision enables

[4] Capture Custom Table Data

Customizing Data Extract

Capturing Custom Table Data in akaBot Vision

field** == If you are missing some fields when capturing data from the document, navigate to the Fields to Capture tab in the queue settings. In this tab, you can manage pre-trained data fields and select which

="wikigeneratedid" id="HParagraph1" %) A basic element in the extraction schema is the data field. However, akaBot

to the "Confirmed" status and get the extracted data information by calling the API Export Document to IDP Server

: Attribute Type Description aiResponse string Result get from AI checkSum string List documents that want

organization's data and account information. In this document, you will find an introduction to the API usage

|string|Result get from AI |checkSum|string|List documents that want to be uploaded |contentType|string

** == The akaBot Vision API allows you to programmatically access and manage your organization's data and account information. In this document, you will find an introduction to the API usage from a developer perspective

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

are collected from multiple document sources via RPA bot, API, or human effort then upload to the IDP system

, or human will download IDP output and then use that structured data to input to other enterprise systems

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

== [[image:1694170289882-347.png]] == **Step 1 and 2:** Documents are collected from multiple document

and then use that structured data to input to other enterprise systems. **Step 3**: IDP system will inform

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

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

to get documents Status: the status you want to get Ex: you can get all Confirmed documents

. (% style="text-align:center" %) [[image:image-20220420200751-2.png||cursorshover="true" data-xwiki-image

: the ID of the file you want to export. You can use this key from the import document activity. * Extract

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

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

with a "welcome popup" displaying some brief instructional information. Please click "Get Started" to start your

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