Cropit get image width8/22/2023 ![]() Research: As a part of my research, I conducted extensive discussions with agents to understand how they handle diverse sets of customer requests and the challenges they come across while addressing them. These interactions gave me insights into their workflows and behavioral journeys while handling these requests. I also held discussions with our developers to get their insights on the improvements we could bring to the updated design. I started by identifying the stakeholders associated with a patient's journey in the health care industry. Interviewing users/patients gave me insights into the behavioral patterns while seeking medical help. Interactions with the doctors/medical expert helped me understand the diagnostic process, which includes the documentation of the diagnosis, managing and tracking the medical history, handling and analyzing the lab reports, etc., It also made me realize the role of other factors like age group, family, etc., It helped me understand the factors involved while choosing medical facilities like hospitals/doctors, labs, and pharmacies. There is an influx of growth in the digital health care sector of India. I shortlisted three popular apps and analyzed them to understand their strengths and weakness. I mapped out the task flow of their existing application to further understand the functionality and pain points.Ensure the efficiency of the system to save time for both customer and the agent.The app had to ensure ease of use for agents while handling the data on a call or face to face with the customer.Design categorically organized modules to record/edit customer information.I tried to understand their key features and categorized the customer feedback into good and bad. If you need a solution for these issues you could explore Pintura Image Editor, an easy to use image editor that solves these edge cases and features a wide range of additional functionality.The task flows helped me determine the time taken to perform various tasks.Īfter determining the pain points and key areas that need improvement, I made necessary changes to the task flow to incorporate the insights from my research.īased on the updated task flow, I designed low-fidelity prototypes. Poor image quality when downscaling images.Canvas memory overflowing on mobile devices for very big images.Browsers being confused by mobile photos EXIF orientation header.To keep the article concise our current solution does not cover these edge cases: This helps us prepare images for social media posts, profile pictures, familiar document sizes, or other popular media formats. View a demo of the end result on CodePen Conclusionīy using the HTML canvas API and some basic math we build a tiny crop helper function that makes it easy to quickly crop images in various aspect ratios. Or, using async/await: const canvas = await crop ( 'path/to/our/image.jpeg', 16 / 9 ) this image will hold our source image data const inputImage = new Image ( ) // we want to wait for our image to load We’ll add the onload callback right before setting the src so we can capture the moment the image has loaded. Our next step is drawing the image to a, the canvas will allow us to modify the image data. We can get to this data by loading the URL to an element. To crop an image we need to access the actual image data. const imageURL = 'path/to/our/image.jpeg' Let’s use a generic image URL as our source. ![]() To get started we’ll need a source image. If we just want to present images in a certain aspect ratio we can use a CSS only solution. For example, when a user is about to upload a an image we crop it to a certain aspect ratio. In this tutorial we’ll by modifying image data. Super useful for cropping photos before posting to social media timelines or uploading profile pictures as these are often required to be of a certain aspect ratio. In this 3 minute tutorial we’ll write a tiny JavaScript function that helps us crop images to various aspect ratios.
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