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You're reading from  Practical Guide to Azure Cognitive Services

Product typeBook
Published inMay 2023
PublisherPackt
ISBN-139781801812917
Edition1st Edition
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Authors (3):
Chris Seferlis
Chris Seferlis
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Chris Seferlis

Chris Seferlis is an Account Technology Strategist at Microsoft. He has over 20 years of experience working in IT and solving technology challenges to accomplish business goals. Chris has an MBA from UMass, bringing a mix of business acumen, with practical technology solutions, focusing on the Microsoft Data Platform and Azure.
Read more about Chris Seferlis

Christopher Nellis
Christopher Nellis
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Christopher Nellis

Christopher Nellis is a Senior Infrastructure Engineer and is experienced in deploying large-scale infrastructure for organizations. He has a passion for automation and MLOps and enjoys working with people to solve problems and make things better.
Read more about Christopher Nellis

Andy Roberts
Andy Roberts
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Andy Roberts

Andy Roberts is a seasoned Data Platform and AI Architect. He has dawned many hats in his career as a developer, dba, architect, project lead, or more recently a part of a sales organization, the heart of his job has always revolved around data. Acquiring it, shaping it, moving it, protecting it and using it to predict future outcomes, processing it efficiently.
Read more about Andy Roberts

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Understanding Form Recognizer machine learning model options

When deciding which model will work best for your solution, you will first have the choice of several models that are purpose-built for specific types of forms. The templated model types are self-explanatory based on their names:

  • General document
  • Layout
  • Invoice
  • Receipt
  • ID document
  • Business card
  • Custom

These templated models were designed with a base set of fields to extract from the documents as they are processed. From the documents using the model type chosen, there are varying abilities for the extraction of text, key-value pairs, fields, selection marks (checkboxes, for example), tables, and entities. There are also variables around the processed documents, such as the document file type, number of pages, and dimensions of the pages being processed. For a more complete list of these variables to ensure your use case would be a good fit, refer to the following reference in the Microsoft...

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Practical Guide to Azure Cognitive Services
Published in: May 2023Publisher: PacktISBN-13: 9781801812917

Authors (3)

author image
Chris Seferlis

Chris Seferlis is an Account Technology Strategist at Microsoft. He has over 20 years of experience working in IT and solving technology challenges to accomplish business goals. Chris has an MBA from UMass, bringing a mix of business acumen, with practical technology solutions, focusing on the Microsoft Data Platform and Azure.
Read more about Chris Seferlis

author image
Christopher Nellis

Christopher Nellis is a Senior Infrastructure Engineer and is experienced in deploying large-scale infrastructure for organizations. He has a passion for automation and MLOps and enjoys working with people to solve problems and make things better.
Read more about Christopher Nellis

author image
Andy Roberts

Andy Roberts is a seasoned Data Platform and AI Architect. He has dawned many hats in his career as a developer, dba, architect, project lead, or more recently a part of a sales organization, the heart of his job has always revolved around data. Acquiring it, shaping it, moving it, protecting it and using it to predict future outcomes, processing it efficiently.
Read more about Andy Roberts