Search: extract-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

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

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

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

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

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

The XML Activities Pack contains activities that enable you to manipulate XML files, such as executing XPath queries and 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 executing XPath queries and deserializing documents, so that data extraction is easier. ))) See also

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

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