Extracting text from image software will be at its core. It will also enable banking employees to focus on more challenging tasks.īanking institutions would require complex problem-solving and creativity. This will increase the capacity of financial institutions. This will contain base64-encoded data on the desired imageĪfter this step, append the following code to helperFunctions.js: //file: helperFunctions.McKinsey has predicted that data automation will fulfill 10-25% of bank business processes within the next few years. Furthermore, this method also accepts an image parameter.React Native will send this payload to Google for OCR purposes Later on, we created a generateBody function that will generate a payload for our request.This is necessary to incorporate Google’s Cloud Vision API in our app The API_KEY constant will contain your API key.Type: 'TEXT_DETECTION', //we will use this API for text detection purposes. this endpoint will tell Google to use the Vision API. In helperFunctions.js, start by writing the following code: //file name: helperFunctions.jsĬonst API_KEY = 'API_KEY_HERE' //put your key here. As the name suggests, this file will contain our utility functions that we will use throughout our project. To make this possible, we will use the expo-image-picker module: npm i expo-image-pickerĬreate a file called helperFunctions.js. Here, select the option that says minimal:įor this application, we will let the client pick photos from their camera roll. To initialize the repository using Expo CLI, run the following terminal command: expo init text-detector-tutorialĮxpo will now prompt you to choose a template. Let’s now write some code! Building our project Project creation Copy this code to a file or somewhere safe.Ĭongratulations! We’re now done with the first step. Here, click on Create credentials, and then API key.Īs a result, the program will now give you an API key. This will bring you to the dashboard page. In the Credentials menu, make sure the following options are checked: To make this possible, click on Create Credentials: However, for authorization purposes, Google requires us to create an API key. When that’s done, search for Cloud Vision API and enable it like so: Next, we now need to tell Google that we need to use the Cloud Vision API. In this section, you will learn how to activate Google’s text detection API for your project.Īs a first step, navigate to Google Cloud Console and click on New Project: Let’s get started! Using Google Cloud Vision Connecting Google Cloud Vision with the image picker.This will be the outcome of this article: In this article, we will build a text detector in React Native using Google’s Vision API. As a result, this would make your work easier and less boring. Using text recognition, you can simply take a picture of the user’s form and let the computer fill in the data for you. It is a technology that uses algorithms to procure text from images with high accuracy. This is where OCR (text detection) comes in. While this solution might work, consider this situation: what if your bank receives hundreds of forms every day? Consequently, this would make your job more tedious and stressful. In the end, verify whether the entered data is in the right field.Furthermore, double-check if you have entered their data correctly.Input the name and personal details of the customer.To make this possible, you would have to do the following: Say you’re working in a bank where you need to input data from a customer’s form into a computer. Hussain Arif Follow Hussain is a CS student in Pakistan whose biggest interest is learning and teaching programming to make the world a better place.
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