Search: extract-structured-data

Before you Start Installation Guide 1. Video Guide Watch below video guide for more intuitive installing instruction: 2. Detailed Steps Step 1 - Download the installer from the link provided in the Licensing Email Step 2 - Extract the zipped file and run the setup as Administrator. If your computer

in the Licensing Email **Step 2** - Extract the zipped file and run the setup// as Administrator//. [[image:1689060128056-950.png||data-xwiki-image-style-border="true" height="157" width="810"]] If your computer has

-1.png||data-xwiki-image-style-border="true" height="487" width="597"]] Go back to step 2 to re

; Degree to which the input data is structured; The upcoming process changes; Suitability: This score helps

of digitization; Degree to which the input data is structured. Readiness score: This score helps with determining

the input data is structured; ** The upcoming process changes; * **Suitability: **This score helps

of digitization; ** Degree to which the input data is structured. * **Readiness score**: This score helps

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

status). Find that all the extracted data is ok, they can click Confirm button then this document

to the Postponed tab (Switching to Postponed status). * Find that all the extracted data is ok, they can click

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 went wrong during the upload stage or later during the importing stage, the document will fail

="wikigeneratedid" %) When you send a document to the pipeline, akaBot Vision will immediately start to extract 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

User can receive extraction results of documents in akaBot Vision via API Output. By configuring an API to directly connect from akaBot Vision to user's systems, user will get extraction results. In this article, we will show you how to configure API Output Step 1: Go to Pipeline's Configuration Step 2

User can receive extraction results of documents in akaBot Vision via API Output. By configuring an API to directly connect from akaBot Vision to user's systems, user will get extraction results

-1419-021 (Ramcharan, Ryan Thomas).pdf",   "pipelineName": "not split never auth",   "data

: 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

Customizing Data Extract

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

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

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

, data tables or other types of collections. (* for Mandatory) Properties Input Values (IEnumerable)*- Iterate through the data and process each piece of information individually. Able to input variable

to organize and structure your code better. E.g: [389861710] For Each < T > Public (Checkbox) - If you check

" %) ((( RCA.Activities.Core.ForEach == **Description** == This activity allows you to loop through arrays, lists, data tables

) == **Properties** == **Input** * **Values (IEnumerable)***- Iterate through the data and process each piece

)** - The name of this activity. You can edit the name of the activity to organize and structure your code better