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- Box Class
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- ClassifierResult Class
- ClassifierCodeActivity Class
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Manual validation for digitize
documents
Document Understanding Activities
Last updated Nov 21, 2024
Manual validation for digitize documents
The example below explains how to manually extract data from an image and present the output in a separate file. It presents activities such as Digitize Document or Present Validation Station. You can find these activities in the UiPath.IntelligentOCR.Activities package.
Note: This workflow is using an older version of the UiPath.IntelligentOCR.Activities package.
Steps:
- Open Studio and create a new Process named
by default Main.
Note: Make sure to add all the needed files (
.json
files and all the images) inside the project folder. - Add a Sequence container in the
Workflow Designer and create the variables shown in
the following table:
Table 1. Variables to be created Variable Type
Default Value
Text
String
DOM
UiPath.DocumentProcessing.Contracts.Dom.Document
Data
UiPath.DocumentProcessing.Contracts.Taxonomy.DocumentTaxonomy
DocumentTaxonomy
UiPath.DocumentProcessing.Contracts.Taxonomy.DocumentTaxonomy
TaxonomyJSON
String
HumanValidated
UiPath.DocumentProcessing.Contracts.Results.ExtractionResult
- Add a Read Text File activity inside the
sequence.
- In the
Properties panel, add the name of the file,
in this case
"taxonomy.json"
, in the FileName field. - Add the
variable
TaxonomyJSON
in the Content field.
- In the
Properties panel, add the name of the file,
in this case
- Add an Assign activity after the Read
Text File activity.
- Add the
variable
Data
in the To field and the expressionDocumentTaxonomy.Deserialize(TaxonomyJSON)
in the Value field. This activity builds the taxonomy for extraction.
- Add the
variable
- Add a Digitize Document activity after the
Assign activity.
- In the
Properties panel, add the value
1
in the DegreeOfParallelism field. - Add the
expression
"Input\Invoice01.tif"
in the DocumentPath field. - Add the
variable
DOM
in the DocumentObjectModel field. - Add the
variable
Text
in the DocumentText field.
- In the
Properties panel, add the value
- Add a Google OCR engine inside the
Digitize Document activity.
- In the
Properties panel, add the variable
Image
in the Image field. - Select the check box for the ExtractWords option. This option extracts the on-screen position of all detected words.
- Add the
expression
"eng"
in the Language field. - Select
the option
Legacy
from the Profile drop-down list. - Add the
value
2
in the Scale field.
- In the
Properties panel, add the variable
- Add a Present Validation Station activity
after the Digitize Document activity.
- In the
Properties panel, add the variable
DOM
in the DocumentObjectModel field. - Add the
expression
"Input\Invoice01.tif"
in the DocumentPath field. - Add the
variable
Text
in the DocumentText field. - Add the
variable
Data
in the Taxonomy field. - Add the
variable
HumanValidated
in the ValidatedExtractionResults field.
- In the
Properties panel, add the variable
- Add a For Each activity under the
Present Validation Station activity.
- In the
Properties panel, select the option
UiPath.DocumentProcessing.Contracts.Results.ResultsDataPoint
from the TypeArgument drop-down list. - Add the
expression
HumanValidated.ResultsDocument.Fields
in the Values field.
- In the
Properties panel, select the option
- Add a Log Message activity inside the
Body of the For Each activity.
- Select
the option
Info
from the Level drop-down list. - Add the
expression
item.FieldName
in the Message field.
- Select
the option
- Add a Log Message activity below the first
Log Message activity.
- Select
the option
Info
from the Level dropdown list. - Add the
expression
item.Values(0).Value.ToString
in the Message field.
- Select
the option
- Add a Write Line activity under the Log
Message activities.
- Add the
value
""
in the Text field.
- Add the
value
- Run the process. The robot uses the IntelligentOCR activities to manually process the data and to present the results.
Visit the following link to download the example as a
ZIP
file: Example.