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Video: Intelligent Document Processing Use Cases

Video: Intelligent Document Processing Use Cases

Intelligent Document Processing: Implementation and Project Examples

Document extraction with AI encompasses a wide range of capabilities that revolutionize how businesses handle their data. At its core, AI-powered document extraction leverages advanced machine learning algorithms and natural language processing techniques to sift through vast volumes of documents, discerning patterns, entities, and relationships with remarkable accuracy.

IDP Use Cases

  • Extraction of text from a variety of document formats: PDF, JPEG, TXT,
  • Processing of structured and unstructured documents, automatic layout recognition,
  • Various data export pathways: exporting detected data in a .json format to import data into a CRM or a workflow automation platform, data integration into a website or an app using REST API, importing the data straight into an application,
  • Processing of handwritten text and files without a text layer, like PDF and JPEG,
  • Extracted data can be used to create a knowledge base chatbot trained on data extracted from the documents,
  • Detection of additional data, like signatures detection and verification.

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