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AI Content Extraction

Stanford_P1010999
(Stanford University - Jaclyn Chen)

 

- Overview 

AI content extraction, also known as intelligent data extraction, is a technology that can extract data from documents. It can be fast, flexible, and economical. 

Here are some examples of AI content extraction:

  • Text extraction: Also known as keyword extraction, this technique uses machine learning to extract core words and phrases from unstructured data. It can be used for news articles, surveys, and customer service tickets.
  • PDF data extraction: AI-powered tools can extract data from millions of documents in a fraction of the time it would take using manual methods.
  • Information extraction: A combination of AI and OCR can enable information extraction software to extract data from documents accurately and fast.
  • Document analysis: UPDF AI can help solve document analysis needs such as understanding complex information, understanding the gist of each specific document, and also managing your document management workflow.
Some other AI tools for document processing include: Docsumo, Kofax, Hyperscience, ABBYY FlexiCapture, UiPath, Amazon Textract, Google Document AI, Docparser. 

 


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