Search: extract-data

When you select a document for review, it will take you to the Validation screen. In the left panel, you can see the predefined list of Data fields that have been extracted. Press Tab to check

be able to export the data. If you realize that the data field was not extracted correctly, you can make

[3] Validate the Data

Validate the Data

, otherwise, you won’t be able to export the data. If you realize that the data field was not extracted

="font-family:Arial,Helvetica,sans-serif" %)In the left panel, you can see the predefined list of Data fields that have been extracted. (% style="font-family:Arial,Helvetica,sans-serif" %)[[[[image:image

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

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

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

="wikigeneratedid" %) When you send a document to the pipeline, akaBot Vision will immediately start to extract 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

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

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

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

saving the Extraction schema you should be seeing the message for the required fields with no captured

: 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

Each Pipeline defines the structure of Data fields that akaBot Vision extracts. Description When

engine has been pre-trained to recognize specific Data fields and enables you to start extracting data

to automatically extract them. (This option will be available in Q3/2022) How to customize data extraction

[3] Configure Fields for Data Extraction

Customizing Data Extract

Configuring Fields for Data Extraction

to recognize specific Data fields and enables you to start extracting data without any additional training for the AI. * Define Custom data fields and train the Dedicated AI engine to automatically extract them. (This option will be available in Q3/2022) == **How to customize data extraction with pre-trained Data fields

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

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

[4] Capture Custom Table Data

Customizing Data Extract

Capturing Custom Table Data in akaBot Vision

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

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

field** == If you are missing some fields when capturing data from the document, navigate to the Fields

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

), then the API Export Document will respond to the user the extracted data in the chose format. The API sample

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

the extracted data information by calling the [[API Export Document>>https://docs.akabot.com/bin/view/akaBot

to the user the extracted data in the chose format. (% class="box infomessage" %) ((( The API sample

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

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

Vision will automatically send a response containing documentId information, document Path, and extracted data to the user's server by API Output Note: Most of the APIs in akaBot Vision are synchronous APIs

will automatically send a response containing documentId information, document Path, and extracted data to the user's

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