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Using AI/ML and NLP, it reads, categorizes, extracts, validates, and converts data into structured formats for integration. 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The platform then continuously learns from these exceptions to improve accuracy and speed in subsequent processing cycles.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},246877,1791748249,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":8,"category_name":11,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":15,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":135,"language":136,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":137,"faqs":138,"seo_title":139,"seo_description":61,"update_tm":140,"read_time":47},1099514068035,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","WHITEPAPER  \nINTELLIGENT DOCUMENT PROCESSING WITH TEMPLATE-FREE APPROACH  \nCopyrights © 2023 Datamatics Global Services Ltd. All rights reserved.  \nAs businesses look forward to drive innovation-led growth and yet be ready to tide over the next disruption, process automation is the new frontier. Intelligent Document Processing and Robotics driven Intelligent Automation is set to automate all paper-intensive and repetitive manual tasks. Most businesses that focus on employee engagement, talent retention, and scaling up operations with existing resources in disruptive markets have already adopted process automation in order to positively influence both the internal and external customers. This paper details how Intelligent Document Processing with its template-free approach brings free-text documents in the ambitof automation.  \nIntelligent Document Processing, which is an inherent component of Intelligent Automation or Cognitive Automation, improves enterprise agility and productivity. It accelerates and scales up operations involving documents with free-text or unstructured data. It supports business agility through an innovative approach and provides an improved business user experience and customer satisfaction.  \nWhy is Intelligent Document Processing  \n- led Intelligent Automation important today?  \nIntelligent Document Processing-led Intelligent Automation is essentially a low code/no code automation platform. It brings unstructured data and free-text in the purview of end-to-end automation. It extracts unstructured data from documents and makes it usable for integration with business systems for further processing. It improves the sense of employee engagement as business users are able to automate their own processes. The solution is scalable and deployable on-premise as well as on cloud. The technology enables teams to work in collaboration across geographies that in effect exponentially improves business productivity and efficiency. Intelligent Document Processing is an important component of the Intelligent Automation ensemble that makes end-to-end automation a business reality.  \nWhat does Intelligent Document Processing encompass?  \nIntelligent Document Processing leverages technologies such as Artificial Intelligence/Machine Learning (AI/ML) and Natural Language Processing (NLP) to read and categorize different types of unstructured or free-text documents, extract data from them, validate the extracted data, convert it into structured or tabular data that is easily usable for downstream processing and integration with core business applications. Free-text documents include handwritten or printed paper documents and electronic documents, such as email, PDF, web pages in public domain, and social media that contains audio, video, text, and images.  \nWhat are the key tasks undertaken by Intelligent Document Processing?  \n 1  Propagate a template-free approach to process multiple document types  \n 2  Pre-process images of the documents to improve image quality  \n 3  Post-process the extracted data to improve accuracy of data capture  \n 4  Deliver multi-OCR compatibility to select the best probable image output and improve data accuracy  \n5  Convert images to text and then to information  \n 6  Use human-in-the-loop capability to validate data  \n 7  Monitor the overall data extraction process with Analytics-powered dashboard  \n 8  Automate paper-based workflows  \n 9  Recognize handwritten text and bring it in the automation ambit  \nWhy template-free approach is important in Intelligent Document Processing?  \nTask of creating and maintaining different templates for different documents is tedious and time-consuming. Further each time a document layout changes, the system requires changing the template itself, thus making the entire effort of automation redundant. This scenario necessitates the requirement of an AI/ML-driven, template-free approach for document processing, thus making it intelligent.  \nIntelligent Document ","cbCaib5BZlAgWzwb","https://ap.wps.com/l/cbCaib5BZlAgWzwb","pdf",1779780,13,"English","# Why Intelligent Document Processing-led Intelligent Automation Matters\n## Intelligent Document Processing as a low code/no code platform\n## What Intelligent Document Processing encompasses\n# Key tasks in a template-free workflow\n## Propagation of template-free processing\n## Pre-processing, post-processing, and multi-OCR compatibility\n## Conversion to text and validation with Human-in-the-Loop\n# Why the template-free approach is important\n# How Human-in-the-Loop enables intelligent processing","[{\"question\":\"How does Intelligent Document Processing enable end-to-end automation?\",\"answer\":\"It extracts and validates unstructured data from free-text documents, converts it into structured data, and makes it usable for integration with core business systems. This supports straight-through processing within intelligent automation workflows.\"},{\"question\":\"Why is a template-free approach important in document processing?\",\"answer\":\"Creating and maintaining templates for different document types is time-consuming, and template changes are required whenever layouts shift. A template-free AI/ML-driven approach reduces frequent rule updates and makes automation resilient to format changes.\"},{\"question\":\"What role does Human-in-the-Loop (HITL) play?\",\"answer\":\"HITL lets business users correct data when extraction confidence is below a threshold. The platform then continuously learns from these exceptions to improve accuracy and speed in subsequent processing cycles.\"}]","Intelligent Document Processing with Template-Free Approach - Whitepaper | PDF",1789238761]