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Last modified by admin on 2022/04/24 04:58
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[3] Review Document
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After importing the document successfully and the data extraction process is successfully finished, the document status will change to TOREVIEW. To Review Tab You can see documents with this status
…Shortcuts When reviewing documents in akaBot Vision, there are multiple ways of moving between data fields
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="wikigeneratedid" %) After importing the document successfully and the data extraction process is successfully
…with this status in the “To review” tab in the user interface. [[image:image-20220420193327-1.png||data-xwiki
…in each field that has been detected incorrectly [[image:image-20220420193327-2.png||data-xwiki-image
[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
[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
Deserialize JSON Array
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'}, {'Name': 'Maria 2'}]" 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
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(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: Deserialize JSON Array
[1] Overview
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status). Find that all the extracted data is ok, they can click Confirm button then this document
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to the Postponed tab (Switching to Postponed status). * Find that all the extracted data is ok, they can click
[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
[1.2] RPA Reference
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. You can use this key from the import document activity. Extract type: you can choose DataTable/Json
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. (% style="text-align:center" %) [[image:image-20220420200751-2.png||cursorshover="true" data-xwiki-image
…: the ID of the file you want to export. You can use this key from the import document activity. * Extract
[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
[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] Automation of Fields
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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
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Customizing Data Extract
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– we perform Data Integrity checks based on values found on the document. Such checks could
…saving the Extraction schema you should be seeing the message for the required fields with no captured