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- 46Giang Tran
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- 64Giang Tran
- 10Nhan Nguyen
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[3] Configure Fields for Data Extraction
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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
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[3] Configure Fields for Data Extraction
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Customizing Data Extract
…Configuring Fields for Data Extraction
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="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
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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
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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
[4] Capture Custom Table Data
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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
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[4] Capture Custom Table Data
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Customizing Data Extract
…Capturing Custom Table Data in akaBot Vision
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="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
Read Range
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(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
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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
Read Column
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(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
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)*** - 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
Read Row
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(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
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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
[3] Validate the Data
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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
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[3] Validate the Data
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Validate the Data
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, 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
Get Event Info
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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
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" %) ((( 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
Read Text
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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
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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
[2] Upload Document
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extracting the data fields. The AI extraction typically takes up to 5 seconds for 1 A4 page. After
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]] [[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