templateName: DigitalOcean Invoice
templateVersion: 4
templatePriority: 0
detectionRules:
  keywords:
  - DigitalOcean
  - 101 Avenue of the Americas
  - Invoice Number
objects:
- name: companyName
  objectType: field
  fieldProperties:
    fieldType: static
    expression: DigitalOcean
    regex: true
- name: invoiceId
  objectType: field
  fieldProperties:
    fieldType: macros
    expression: 'Invoice Number: ({{Digits}})'
    regex: true
- name: dateIssued
  objectType: field
  fieldProperties:
    fieldType: macros
    expression: 'Date Issued: ({{SmartDate}})'
    regex: true
    dataType: date
    dateFormat: auto-mdy
- name: total
  objectType: field
  fieldProperties:
    fieldType: macros
    expression: 'Total: ({{Money}})'
    regex: true
    dataType: decimal
- name: currency
  objectType: field
  fieldProperties:
    fieldType: static
    expression: USD
    regex: true
- name: table1
  objectType: table
  tableProperties:
    start:
      expression: Description{{Spaces}}Hours
      regex: true
    end:
      expression: 'Total:'
      regex: true
    row:
      expression: '{{LineStart}}{{Spaces}}(?<description>{{SentenceWithSingleSpaces}}){{Spaces}}(?<hours>{{Digits}}){{Spaces}}(?<start>{{2Digits}}{{Minus}}{{2Digits}}{{Space}}{{2Digits}}{{Colon}}{{2Digits}}){{Spaces}}(?<end>{{2Digits}}{{Minus}}{{2Digits}}{{Space}}{{2Digits}}{{Colon}}{{2Digits}}){{Spaces}}{{Dollar}}(?<unitPrice>{{Number}})'
      regex: true
    columns:
    - name: hours
      dataType: integer
    - name: unitPrice
      dataType: decimal

' This example demonstrates parsing of scanned documents
' using the Optical Character Recognition (OCR).

template = ".\DigitalOcean.yml"
inputDocument = ".\DigitalOcean-scanned.jpg"


' Create and activate DocumentParser object
Set documentParser = CreateObject("Bytescout.DocumentParser.DocumentParser")
documentParser.RegistrationName = "demo"
documentParser.RegistrationKey = "demo"

' Enable Optical Character Recognition (OCR) in Auto mode
' (DocumentParser automatically detects if OCR Is required).
documentParser.OCRMode = 1 ' OCRMode.Auto

' Set PDF document rendering resolution
documentParser.OCRResolution = 300

' Set the location of OCR language data files
documentParser.OCRLanguageDataFolder = "c:\Program Files\ByteScout Document Parser SDK\ocrdata"

' Set OCR language
' "eng" for english, "deu" for German, "fra" for French, etc. - according to files in "ocrdata" folder
documentParser.OCRLanguage = "eng"
' Find more language files at https://github.com/bytescout/ocrdata

' Note: The OCRLanguage can be overridden in a template. 
' See the Template Creation Guide.



' You can also apply various preprocessing filters
' to improve the recognition on low-quality scans.

' Automatically deskew skewed scans
'documentParser.OCRImagePreprocessingFilters.AddDeskew()

' Remove vertical or horizontal lines (sometimes helps to avoid OCR engine's page segmentation errors)
'documentParser.OCRImagePreprocessingFilters.AddVerticalLinesRemover()
'documentParser.OCRImagePreprocessingFilters.AddHorizontalLinesRemover()

' Repair broken letters
'documentParser.OCRImagePreprocessingFilters.AddDilate()

' Remove noise
'documentParser.OCRImagePreprocessingFilters.AddMedian()

' Apply Gamma Correction
'documentParser.OCRImagePreprocessingFilters.AddGammaCorrection(1.4)

' Add Contrast
'documentParser.OCRImagePreprocessingFilters.AddContrast(20)



' Load template
documentParser.AddTemplate(template)

' Parse document data in JSON format
documentParser.ParseDocument inputDocument, "output.json", 0 ' 0 = OutputFormat.JSON

WScript.Echo "Parsed data saved as 'output.json'"

Set documentParser = Nothing