Search: extract-structured-data

Open Browser Start Browser For Attach Attach Browser Browser Scope Navigate To Go Back Go Forward Refresh Click Get Text Type Into Send Hot Keys Get Web Attribute Close Tab Quit Extract Data Extract Structured Data Check/Uncheck Select Item Switch To Hover Select Multiple Items Inject Javascript Set Web

/Activities/%5B15%5DQuit/]] * [[Extract Data>>url:https://docs.akabot.com/bin/view/Activities/Browser%20Activities/Activities/%5B16%5DExtract%20Data/]] * [[Extract Structured Data>>url:https://docs.akabot.com/bin

Attach Browser (NB) Check/Uncheck (NB) Click (NB) Close Tab (NB) Element Exist (NB) Extract Structured Data (NB) Get Element (NB) Get Text (NB) Get Web Attribute (NB) Go Back (NB) Go Forward (NB) Hover (NB) Inject JavaScript (NB) Navigate To (NB) Open Browser (NB) Quit Browser (NB) Refresh (NB

/Activities/Element%20Exist%20%28NB%29/]] * [[Extract Structured Data (NB)>>url:https://docs.akabot.com/bin/view/Activities/Native%20Browser/Activities/Extract%20Structured%20Data%20%28NB%29/]] * [[Get Element

Each Pipeline defines the structure of Data fields that akaBot Vision extracts. Description When editing this structure you have two options: Use pre-trained Data fields – AkaBot Vision’s Generic AI engine has been pre-trained to recognize specific Data fields and enables you to start extracting data

[3] Configure Fields for Data Extraction

Customizing Data Extract

Configuring Fields for Data Extraction

="wikigeneratedid" id="HParagraph1" %) Each Pipeline defines the structure of Data fields that akaBot Vision extracts. == **Description** == (% class="wikigeneratedid" %) When editing this structure you have two

to recognize specific Data fields and enables you to start extracting data without any additional training

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

A basic element in the extraction schema is the data field. However, akaBot Vision enables the capture of even more complex structures like tables. Adding a predefined table field If you are missing

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 Vision enables the capture of even more complex structures like tables. == **Adding a predefined table

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

Automation of Fields Capture Custom Table Data Configure Automation Type for Pipeline Configure Fields for Data Extraction

[6] Customize Data Extract

Customizing Data Extract

/Configure%20Automation%20Type%20for%20Pipeline%20/]] * [[Configure Fields for Data Extraction>>path:/bin

* [[Automation of Fields>>path:/bin/view/akaBot%20Vision/Customizing%20Data%20Extract/Automation%20of%20Fields%20in%20akaBot%20Vision/]] * [[Capture Custom Table Data>>path:/bin/view/akaBot%20Vision

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

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

The XML Activities Pack contains activities that enable you to manipulate XML files, such as deserializing documents so that data extraction is easier. See also: Release Notes Activities

(% class="akb-page-with-toc" %) ((( (% class="akb-page-content" %) ((( (% class="box" %) ((( The **XML Activities Pack** contains activities that enable you to manipulate XML files, such as deserializing documents so that data extraction is easier. ))) See also: * [[Release Notes>>path:/bin

The DataTable Activities belongs to Core Activities Pack. It contains several activities that enable the robots to manipulate data tables by adding or extracting information. See also: Release Notes Activities

Data Table

Data Table

the robots to manipulate data tables by adding or extracting information. ))) See also: * [[Release Notes>>path:/bin/view/Activities/Data%20Table/%5B1%5D%20Release%20Notes/]] * [[Activities>>path:/bin/view/Activities/Data%20Table/Activities/]] ))) )))