Search: join-data-table

Last modified by admin on 2022/04/24 04:58

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[4] Capture Custom Table Data

Last modified by admin on 2023/05/14 13:20
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. Adding a new table In order to create a new table, click [Add Field], select Data Type = “table
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
Title
[4] Capture Custom Table Data
Location
Capturing Custom Table Data in akaBot Vision
Customizing Data Extract
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, click [Add Field], select Data Type = “table” and then input the value you want to create a new table
="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

[6] Customize Data Extract

Located in
Last modified by admin on 2023/05/14 13:16
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Automation of Fields Capture Custom Table Data Configure Automation Type for Pipeline Configure Fields for Data Extraction
Title
[6] Customize Data Extract
Location
Customizing Data Extract
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* [[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
/Configure%20Automation%20Type%20for%20Pipeline%20/]] * [[Configure Fields for Data Extraction>>path:/bin

[3] Configure Fields for Data Extraction

Last modified by admin on 2023/05/14 13:20
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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
Title
[3] Configure Fields for Data Extraction
Location
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
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 without any additional training

[2] Configure Automation Type for Pipeline

Last modified by admin on 2023/05/14 13:20
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: Choose Automation Type and set conditions for required fields and data formats The Automation Type
will be bypassed Bypass wrong data formats: All the documents with wrong data formats inside will be moved
. If you turn this mode on, all the wrong data formats will be bypassed Step 3: Click [Save] to save
Location
Customizing Data Extract
Raw document content
Automation Type and set conditions for required fields and data formats ))) * The Automation Type will have
fields will be bypassed * Bypass wrong data formats: All the documents with wrong data formats inside
these later. If you turn this mode on, all the wrong data formats will be bypassed [[image:image

[1] Automation of Fields

Last modified by admin on 2023/05/14 13:19
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on: Built-in checks – we perform Data Integrity checks based on values found on the document. Such checks
the Extraction schema you should be seeing the message for the required fields with no captured value. Table
Location
Customizing Data Extract
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– we perform Data Integrity checks based on values found on the document. Such checks could
value. ))) ))) ))) (% class="akb-toc" %) ((( (% class="akb-toc-title" %) ((( Table of Content
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Created by admin on 2022/04/17 14:38