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Democratizing Application Development with AppSheet

You're reading from   Democratizing Application Development with AppSheet A citizen developer's guide to building rapid low-code apps with the powerful features of AppSheet

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Product type Paperback
Published in Jan 2023
Publisher Packt
ISBN-13 9781803241173
Length 396 pages
Edition 1st Edition
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Authors (3):
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Suvrutt Gurjar Suvrutt Gurjar
Author Profile Icon Suvrutt Gurjar
Suvrutt Gurjar
Koichi Tsuji Koichi Tsuji
Author Profile Icon Koichi Tsuji
Koichi Tsuji
Takuya Miyai Takuya Miyai
Author Profile Icon Takuya Miyai
Takuya Miyai
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Toc

Table of Contents (20) Chapters Close

Preface 1. Part 1 – Introduction and Getting Started
2. Chapter 1: Getting Started with AppSheet FREE CHAPTER 3. Part 2 – App Editor and Main Features
4. Chapter 2: Understanding App Editor and Data Sources 5. Chapter 3: Presenting App Data with UX/Views 6. Chapter 4: Manipulating Data with Functions and Expressions 7. Chapter 5: Manipulating Data with Behaviors and Actions 8. Chapter 6: Controlling App Users and Data Security 9. Chapter 7: Managing the App Environment 10. Part 3 – Advanced Features and External Services
11. Chapter 8: Automating Recurring Data Changes and Scheduling Tasks 12. Chapter 9: Using Intelligence and Advanced Features 13. Chapter 10: Extending App Capabilities with Third-Party Services 14. Part 4 – App Templates and Tricks for App Building
15. Chapter 11: Building More Apps with App Templates 16. Chapter 12: Tips and Tricks 17. Chapter 13: Appendix 18. Index 19. Other Books You May Enjoy

Building an OCR model

OCR is useful for apps – such as a conference management app – where you need to collect the names of attendees or read a product label for inventory management. You may have documents with a fixed style and format, such as names, badges, and labels for stock items on the shelf. Without OCR, the app user needs to manually type into the form view in the AppSheet app to register data. OCR removes the need for this manual process by automatically scanning the document and recognizing the fields and values for each of them.

After taking a photo of the target document and uploading it, OCR extracts the text data from the image file and converts it into a structured set of data automatically. Let’s have a look at this powerful feature in detail.

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