Search: extract-structured-data

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

(DataTable) - Stores the data extracted from the specified Excel range in a data table variable. Only data

” Sheet name (String)* - The sheet you want to read. E.g: "Sheet1" Range - Range of the data. If it isn’t

)- The sheet you want to read. E.g: "Sheet1" Range - Range of the data. If it isn’t specified, the whole

is cleared **Output** * **DataTable (DataTable)** - Stores the data extracted from the specified Excel

: "Sheet1" * **Range** - Range of the data. If it isn’t specified, the whole spreadsheet will be read. E.g

want to read. E.g: "Sheet1" * **Range** - Range of the data. If it isn’t specified, the whole

(String)* - The cell from which to start extracting the column data. By default, this is filled

" Starting Cell (String)* - The cell from which to start extracting the column data. By default

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

)*** - The cell from which to start extracting the column data. By default, this is filled in with "A1". E.g: "A1

to read. E.g: "Sheet1" * **Starting Cell (String)*** - The cell from which to start extracting the column data. By default, this is filled in with "A1". E.g**:** "A1" == **Properties** == **Input

(String)* - The cell from which to start extracting the row data. By default, this is filled in with "A1

" Starting Cell (String)* - The cell from which to start extracting the row data. By default, this is filled

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

extracting the row data. By default, this is filled in with "A1". E.g: "A1" == **Properties

(String)*** - The cell from which to start extracting the row data. By default, this is filled in with "A1

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

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

RCA.Activities.Core.GetEventInfo Description This activity allows extracting different types

. (* for Mandatory) Properties Misc Public (Checkbox) - If you check it, the data of this activity will be shown in the log. Be careful, consider data security before using it. Display Name (String) - The name

" %) ((( RCA.Activities.Core.GetEventInfo == **Description** == This activity allows extracting different types of information

)** - If you check it, the data of this activity will be shown in the log. Be careful, consider data security

of the activity to organize and structure your code better. E.g: Get Even Info * **Type Argument (Dropdown list

from continuing the execution. Misc Public (Checkbox) - If you check it, the data of this activity will be shown in the log. Be careful, consider data security before using it. Display Name (String) - The name of this activity. You can edit the name of the activity to organize and structure your code better. E.g: Read Word

check it, the data of this activity will be shown in the log. Be careful, consider data security before

to organize and structure your code better. E.g: Read Word File **Output** * **Text (String) **- Context or specified characters that are extracted from the file and stored in a String variable. ))) {{velocity

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