Search: join-data-table

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

Results 1 - 5 of 5 Page 1

[4] Capture Custom Table Data

Last modified by admin on 2023/05/14 13:20
Rendered document content
. 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
Raw document content
, 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

[3] Review Document

Last modified by admin on 2024/01/11 18:13
Rendered document content
After importing the document successfully and the data extraction process is successfully finished
, akaBot Vision provides users with the capability to add or remove rows in a table To insert a row, you can click "+" icon To delete a row, you can click "x" icon To add a new row at the end of the table
Raw document content
="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

[3] Configure Fields for Data Extraction

Last modified by admin on 2023/05/14 13:20
Rendered document content
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
Raw document content
="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

[1] Import Document Manually

Last modified by admin on 2023/05/14 13:09
Rendered document content
When you send a document to the pipeline, akaBot Vision will immediately start to extract the data from it. Description During this stage, the document has an importing status. In case something
splitting suggestions available in the app. Table Of Content
Raw document content
the data from it. == **Description** == (% class="wikigeneratedid" %) During this stage, the document has an importing status. (% style="text-align:center" %) [[[[image:image-20220420191058-1.png||data-xwiki-image
" %) [[[[image:image-20220420191111-2.png||data-xwiki-image-style-alignment="center"]]>>attach:image-20220420191111-2

[1.2] RPA Reference

Last modified by admin on 2023/05/14 13:23
Rendered document content
to a pipeline that has Automation Type is Confident, then export them and change the status. Table
Raw document content
. (% style="text-align:center" %) [[image:image-20220420200751-2.png||cursorshover="true" data-xwiki-image
||cursorshover="true"]] ))) (% class="akb-toc" %) ((( (% class="akb-toc-title" %) ((( Table of Content
Page 1
RSS feed for search on [join-data-table]
Created by admin on 2022/04/17 14:38