AdditionalDocuments

@Serializable()
public final class AdditionalDocuments

Constructors

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public AdditionalDocuments AdditionalDocuments(String documentName, String additionalDocument, String processAsPOA, String analysePOA)

Properties

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Type: string($base64)
This should contain base64 data of the document. Max allowed upload size is 2MB.

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Type: string
example: N
analysePOA field indicate if any of the additional documents that are being collected need to be analysed.
Valid values are:

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Type: string
This should contain the name of the document.

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Type: string
example: N
processAsPOA field indicate if any of the additional documents that are being collected need to be processed so OCR extraction can be performed.
Valid values are:

Functions

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Type: string($base64)
This should contain base64 data of the document. Max allowed upload size is 2MB.

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public final String getAnalysePOA()

Type: string
example: N
analysePOA field indicate if any of the additional documents that are being collected need to be analysed.
Valid values are:

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public final String getDocumentName()

Type: string
This should contain the name of the document.

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public final String getProcessAsPOA()

Type: string
example: N
processAsPOA field indicate if any of the additional documents that are being collected need to be processed so OCR extraction can be performed.
Valid values are:

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public final Unit setAdditionalDocument(String additionalDocument)

Type: string($base64)
This should contain base64 data of the document. Max allowed upload size is 2MB.

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public final Unit setAnalysePOA(String analysePOA)

Type: string
example: N
analysePOA field indicate if any of the additional documents that are being collected need to be analysed.
Valid values are:

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public final Unit setDocumentName(String documentName)

Type: string
This should contain the name of the document.

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public final Unit setProcessAsPOA(String processAsPOA)

Type: string
example: N
processAsPOA field indicate if any of the additional documents that are being collected need to be processed so OCR extraction can be performed.
Valid values are: