Search: join-data-table

to a pipeline that has Automation Type is Confident, then export them and change the status. Table

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

||cursorshover="true"]] ))) (% class="akb-toc" %) ((( (% class="akb-toc-title" %) ((( Table of Content

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

    },     {       "fieldName": "Table Description",       "fieldValue": null,       "tableValue": [       ]     },     {       "fieldName": "Table Quantity",       "fieldValue": null,       "tableValue

Custom Table Data</a> </div> </div> </div> <div class="akb-card"> <div class="akb

</a> <a href="/bin/view/akaBot%20Vision/Quick%20start%20guide/Validate%20the%20Data/">Validate the Data

-card-title">Customize Data Extract</div> <div class="akb-card-body"> <div class="akb-link

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

is processed successfully and the user can export data via calling API Export Document with input parameters

to review documents then change it to "Confirmed" status by API Update Document Status before exporting data

** == The akaBot Vision API allows you to programmatically access and manage your organization's data and account

and the user can export data via calling API (%%)[[Export Document>>https://docs.akabot.com/bin/view/akaBot

%20with%20RPA/API%20Automation/#H4.UpdateDocumentStatus]](% style="color:#000000" %) before exporting data

pipelines or move pipelines between PipelineGroupgroups easily. Data integrity controls Users will access

on the app in any way. Table of Content

or move pipelines between PipelineGroupgroups easily. |Data integrity controls|Users will access

" %) ((( (% class="akb-toc-title" %) ((( Table of Content ))) {{toc depth="4" start="2"/}} ))) )))

on: Built-in checks – we perform Data Integrity checks based on values found on the document. Such checks

the Extraction schema you should be seeing the message for the required fields with no captured value. Table

Customizing Data Extract

– we perform Data Integrity checks based on values found on the document. Such checks could

value. ))) ))) ))) (% class="akb-toc" %) ((( (% class="akb-toc-title" %) ((( Table of Content

As a manager or administrator, users may want to know about, for instance, all the documents imported to a specific queue or which data fields required the most corrections. The dashboard’s reports

by a selected granularity. Table Of Content

to a specific queue or which data fields required the most corrections. The dashboard’s reports could also help

-663.png]] ))) (% class="akb-toc" %) ((( (% class="akb-toc-title" %) ((( Table Of Content

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

splitting suggestions available in the app. Table Of Content

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

: 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

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