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Practical Guide to Azure Cognitive Services

You're reading from  Practical Guide to Azure Cognitive Services

Product type Book
Published in May 2023
Publisher Packt
ISBN-13 9781801812917
Pages 454 pages
Edition 1st Edition
Languages
Authors (3):
Chris Seferlis Chris Seferlis
Profile icon Chris Seferlis
Christopher Nellis Christopher Nellis
Profile icon Christopher Nellis
Andy Roberts Andy Roberts
Profile icon Andy Roberts
View More author details

Table of Contents (22) Chapters

Preface Part 1: Ocean Smart – an AI Success Story
Chapter 1: How Azure AI Changed Ocean Smart Chapter 2: Why Azure Cognitive Services? Chapter 3: Architectural and Cost Optimization Considerations Part 2: Deploying Next-Generation Knowledge Mining Solutions with Azure Cognitive Search
Chapter 4: Deriving Value from Knowledge Mining Solutions in Azure Chapter 5: Azure Cognitive Search Overview and Implementation Chapter 6: Exploring Further Azure Cognitive Services for Successful KM Solutions Chapter 7: Pulling It All Together for a Complete KM Solution Part 3: Other Cognitive Services That Will Help Your Company Optimize Operations
Chapter 8: Decluttering Paperwork with Form Recognizer Chapter 9: Identifying Problems with Anomaly Detector Chapter 10: Streamlining the Quality Control Process with Custom Vision Chapter 11: Deploying a Content Moderator Chapter 12: Using Personalizer to Cater to Your Audience Chapter 13: Improving Customer Experience with Speech to Text Chapter 14: Using Language Services in Chat Bots and Beyond Chapter 15: Surveying Our Progress Chapter 16: Appendix – Azure OpenAI Overview Index Other Books You May Enjoy

Using Form Recognizer Development Studio

In version 3.0 of Form Recognizer, Microsoft released Form Recognizer Studio as well as a general document model. The general document model was designed for generic forms to be processed and does not require a model to be trained by the user. It can extract key-value pairs, entities, text, tables, and structure from documents processed in the system. The underlying model being used is managed by Microsoft and retrained periodically to improve the model and improve the results of using the tool.

When using the tool, you will point to your storage account where your documents live, and each document in storage will be processed. It is important to note that the documents to be processed should be separate. In the case of a collection of documents, as they could be scanned into a single PDF, for example, they will all be processed as a single document. This is not a suggested practice if there are multiple documents or document types scanned...

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