Search: extract-data

, 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

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

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

. (% 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

I. About Data Service Data Service is a persistent data storage service that brings powerful no-code data modeling and storage capabilities to your Robotic Process Automation (RPA) projects. Data Service allows you to securely store and manage your business data within akaBot. Here's what you can do

[1] About Data Service

hỗ trợ khôi phục sau sự cố. Mô hình này bao gồm 02 Data Center: Primary Data Center và DR Data Center (ở trạng thái Inactive và sẽ được kích hoạt khi cần) Primary Data Center: Thành phần của Primary Data Center này bao gồm các máy chứa các thành phần sau: Thành phần Số lượng Mục đích akaBot Agent

Data Service

[1] About Data Service

== **I. About Data Service** == Data Service is a persistent data storage service that brings powerful no-code data modeling and storage capabilities to your Robotic Process Automation (RPA) projects. Data Service allows you to securely store and manage your business data within akaBot. Here's what you

Account” (2) Enter data for Login tab including: Login Name, Password as bellowed, leave authentication

all access rights for specific data base in this scenario, - Object Rights are right to work with any records, DDL Rights are right to work with data base definition type… - After click “Apply”, you

-101.png]] * Enter data for Login tab including: Login Name, Password as bellowed, leave

to this schema, we select all access rights for specific data base in this scenario, - **Object** **Rights** are right to work with any records, **DDL** **Rights** are right to work with data base definition type

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 structured document including receipts, purchase orders, shipping documents, etc. Please contact support

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

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

in documents. This helps the model will extract data more exactly. Staff can choose "Label" or "Value

. After training models successfully, staff can use that model to extract data by creating new pipeline

, send the learning models to production and use them to run on actual documents to extract data. Staff

" for each field if having enough data in documents. This helps the model will extract data more exactly

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

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

: 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

extracting the data fields. The AI extraction typically takes up to 5 seconds for 1 A4 page. After

]] [[image:image-20220420184331-2.png||data-xwiki-image-style-alignment="center"]] Click “OK” and the AI will automatically begin extracting the data fields. The AI extraction typically takes up to 5 seconds for 1 A4 page. [[image:image-20220420184331-3.png||data-xwiki-image-style-alignment="center"]] After processing