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Learn how to effectively store each line of text read from an image using `Firebase ML Vision` in your `Flutter` application. This quick guide will walk you through the process step by step. --- This video is based on the question https://stackoverflow.com/q/67639558/ asked by the user 'salad000' ( https://stackoverflow.com/u/12895480/ ) and on the answer https://stackoverflow.com/a/67644751/ provided by the user 'Victor Eronmosele' ( https://stackoverflow.com/u/11039164/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: how to firebase ml vision storing each line to a variable Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- Implementing OCR with Firebase ML Vision in Flutter If you've ever tried to extract text from images in your Flutter application, you know it can be a bit tricky. However, with Firebase ML Vision, performing Optical Character Recognition (OCR) has become much easier. In this guide, we’ll tackle a common problem: how to read each line of text from an image and store it as individual string variables. Understanding the Problem Imagine you have an image of a document that contains two lines of text: [[See Video to Reveal this Text or Code Snippet]] You want to read "NAME" and store it in a variable called name, and "INFORMATION" in another variable called info. The question is: How do you do this efficiently using Firebase ML Vision in Flutter? Let's break down the solution! Step-by-Step Solution 1. Import the Necessary Libraries Make sure you have imported the required Firebase ML libraries in your Flutter project. You typically do this in your pubspec.yaml file. 2. Read the Text from the Image After you capture an image or select it from your gallery, you’ll need to use Firebase ML's text recognition capabilities. Here’s a simple method to process the image and start reading text. 3. Store Each Line to Variables You can achieve this using a nested for loop structure. Here’s the simplified code snippet: [[See Video to Reveal this Text or Code Snippet]] Explanation: TextBlock: Represents a block of text recognized in the image. Lines: Each block can have multiple lines, which can be accessed using an index. Condition Check: It’s crucial to check if there are enough lines present in the block before trying to access them. This prevents runtime errors. 4. Output the Results To confirm that your variables are storing the correct values, you can print them out. Make sure to look for any potential null values or exceptions during testing. Conclusion By following these steps, you’ll be able to efficiently read and store text from images using Firebase ML Vision in your Flutter application! Remember, proper error handling and checks are crucial to ensure that your app remains robust. So, grab your IDE, implement the above code, and test it out! Happy coding!