Search: extract-structured-data

RCA.Activities.Common.ExtractStructuredData Description The Extract Structured Data allows you to extract structured data from a specified webpage. (*For mandatory) In the body of activity Open

) - The outputted data with type 'DataTable'. Misc Display Name (String) - The name of this activity. You can edit

Extract Structured Data

Extract Structured Data

" %) ((( RCA.Activities.Common.ExtractStructuredData == **Description** == The Extract Structured Data allows you to extract structured data from

milliseconds. E.g: 200 **Input** * **Selector (String)** - The outputted data with type 'DataTable'. **Misc

and structure your code better. * **Public (Checkbox)** - Check if you want to public it. Remember to consider

RCA.Activities.NativeBrowser.ExtractStructuredData Description The Extract Structured Data allows you to extract structured data from a specified webpage. (*For mandatory) In the body of activity

Extracting HTML (String) - This property allows you to input the page source containing the Structure Data

Extract Structured Data (NB)

Extract Structured Data (NB)

" %) ((( RCA.Activities.NativeBrowser.ExtractStructuredData == **Description** == The Extract Structured Data allows you to extract structured data from

milliseconds. E.g: 300 **Input** * **Extracting HTML (String)** - This property allows you to input the page source containing the Structure Data needed to be extracted. If the Extracting HTML field and (Native

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

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

RCA.Activities.ComputerVision.CVTableExtract Description Extracts a table that is visible

On Screen* - Chooses the element to extract. This activity will generate a string variable (Selector

to consider data security requirement before using this property. Display Name (String) - The name

CV Table Extract

CV Table Extract

to organize and structure your code better. E.g: [201135155] CV Table Extract **Output** * **Result

" %) ((( RCA.Activities.ComputerVision.CVTableExtract == **Description** == Extracts a table that is visible on the screen and stores

** == * **Indicate On Screen*** - Chooses the element to extract. This activity will generate a string variable

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

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

RCA.Activities.NativeBrowser.GetText Description The Get Text activity extracts on a webpage

of the activity to organize and structure your code better. Public (Checkbox) - Check if you want to public it. Remember to consider data security requirement before using it. Default is uncheck. Output Result (String

" %) ((( RCA.Activities.NativeBrowser.GetText == **Description** == The Get Text activity extracts on a webpage and saves it in a String

the name of the activity to organize and structure your code better. * **Public (Checkbox)** - Check if you want to public it. Remember to consider data security requirement before using it. Default is uncheck

RCA.Activities.ComputerVision.CVGetText Description Extracts the text from a specified UI element. (*For mandatory) In the body of activity Indicate On Screen* - Chooses the element to extract the text

the activity. Remember to consider data security requirement before using this property. Display Name (String

" %) ((( RCA.Activities.ComputerVision.CVGetText == **Description** == Extracts the text from a specified UI element. [[image:image

the element to extract the text. This activity will generate a string variable (Selector) to specify

the activity. Remember to consider data security requirement before using this property. * **Display Name

, 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

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

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