Book Image

Flutter Cookbook, Second Edition - Second Edition

By : Simone Alessandria
5 (3)
Book Image

Flutter Cookbook, Second Edition - Second Edition

5 (3)
By: Simone Alessandria

Overview of this book

Are you ready to tap into the immense potential of Flutter? With over 1,000 new mobile apps published every day on the Apple and Google Play stores, Flutter is transforming the landscape of app development. It's time for you to join the revolution. Introducing the second edition of Flutter Cookbook, a step-by-step guide designed exclusively for you. Whether you're a seasoned developer or just starting your coding journey, this book is your ultimate companion. Dive into the latest features of Flutter 3.10 and unlock the secrets to building professional-grade, cross-platform applications. With our recipe-based approach, we'll not only show you how to implement Flutter's features but also explain why they work. Through practical examples and real-world execution, you'll gain a deeper understanding of Flutter's inner workings. From crafting stunning UI/UX with widgets to leveraging hot reload and restart techniques, we'll equip you with best practices and invaluable knowledge. As you progress, you'll learn to efficiently manage data, add interactivity and animations, and integrate essential Flutter plugins like maps, camera, voice recognition and more. And let's not forget the dedicated chapter on implementing MLkit powered by TensorFlow Lite. We'll guide you through building custom machine learning solutions, expanding the capabilities of your apps. By the time you reach the end of this comprehensive Flutter book, you'll have the skills and confidence to write and deliver fully functional apps.
Table of Contents (19 chapters)
17
Other Books You May Enjoy
18
Index

Recognizing text from an image

We’ll start with ML by incorporating ML Kit’s text recognizer. You will create a feature where you take a picture, and if there is some recognizable text in it, ML Kit will turn it into one or more strings.

Getting ready

For this recipe, you should have completed the previous one: Using the device camera.

How to do it...

In this recipe, after taking a picture, you will add a text recognition feature. Follow these steps:

  1. Import the latest version of the google_mlkit_commons and google_mlkit_text_recognition packages in your pubspec.yaml file by typing in your Terminal:
    flutter pub add google_mlkit_commons 
    flutter pub add google_mlkit_text_recognition 
    
  2. Create a new file in the lib folder of your project and call it ml.dart.
  3. Inside the new file, import the dart:io and google_mlkit_text_recognition packages:
    import 'dart:io'; 
    import ' package:google_mlkit_text_recognition...