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     Q-Proofing  
 
  • GUI for clean-up where the image and the content extracted from OCR are displayed side-by-side.
  • Data and image synchronization at character level is unchanged throughout the process.
  • Provision for clean-up of low-confidence (suspect) characters that are flagged in the common format.
  • Spell-check option with customized dictionary based on both language and content.
  • Interactive identification and correction of special characters which were not defined in the project symbol list.
  • Ability to run project-based validation rules like punctuation check, emphasis (bold, italic, underline) verification, spacing rules with character-level image synchronization.
  • Collect metrics on number of suspect characters reported and corrected for productivity measurement.
  • Collect metrics on number of error words reported and corrected for productivity measurement.
  • Collate the list of words not available in the dictionary for review and to build subject-specific dictionary.
  • Track the changes made by the operator to monitor quality and operational efficiency. In addition, operator information is stored for all changes, which would help in review and feedback.
  • Collect details on corrected suspect characters for analysis and to train the OCR engine to improve its efficiency.
 
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