Cloudinary Blog

Impressed by WhatsApp Tech? Build a Whatsapp Clone with Image Manipulation and Optimization

Build a WhatsApp Clone with Automatic Image Optimization

In the previous post, we showed how to upload images to a Cloudinary server. In this part, we will play with some of the features we see on the WhatsApp technology. After you or your users have uploaded image assets to Cloudinary, you can deliver them via dynamic URLs. You can include instructions in your dynamic URLs that tell Cloudinary to manipulate your assets using a set of transformation parameters. All image manipulations and image optimizations are performed automatically in the cloud and your transformed assets are automatically optimized before they are routed through a fast CDN to the end user for an optimal user experience. For example, you can resize and crop, add overlays, blur or pixelate faces, apply a variety of special effects and filters, and apply settings to optimize your images and to deliver them responsively.

Here are a few examples of the commonly used image transformation features, along with links to their more detailed documentation :

Resizing and Cropping :

We won’t be going in detail about all the listed features, as there are still a lot of them to be explored. However we’ve attached links to each of them should you decide to read further on your own. Now, with our MediaManager already initialized, we’ll quickly resize and crop our uploaded image in the onCreate() method. Here’s how :

MediaManager.get().url().transformation(new Transformation().width(250).height(250).gr
avity("faces").crop("fill")).generate("selected_image.jpg")

This example uses the fill cropping method to generate and deliver an image that completely fills the requested 250x250 size while retaining the original aspect ratio. It uses face detection gravity to ensure that all the faces in the image are retained and centered when the image is cropped

Applying Effects and Filters

WhatsApp technology doesn’t provide options like applying effects and filters just like Instagram. We can add this feature to our clone using Cloudinary:

MediaManager.get().url().transformation(new Transformation()
  .effect("cartoonify").chain()
  .radius("max").chain()
  .effect("outline:100").color("lightblue").chain()
  .background("lightblue").chain()
  .height(300).crop("scale")).generate("selected_image.jpg")

The code above applies a cartoonify effect, rounding corners effect, and background color effect (and then scales the image down to a height of 300 pixels).

There is a lot more you can do with Cloudinary image manipulations; you can even apply transformations based on certain conditions.

With Cloudinary’s conditional transformations, images are manipulated on-the-fly using dynamic delivery URLs for any uploaded image. A condition and its associated transformations are added to the URLs using the if parameter which accepts a string value detailing the condition to evaluate. You can apply a transformation based on the image's width, height, aspect ratio, the number of faces in the image (if any) or the number of frames (for animated images) or pages (for PDFs) present. For example, we can evaluate whether our uploaded image's width is greater than 500 pixels with if_w_gt_500. Also, multiple conditions can be evaluated by concatenating the conditions with an and or or operator, and a different transformation can be applied in the case that the condition is evaluated as negative by using the if_else parameter. Now let’s manipulate our uploaded image such that if it contains a face, we zoom into the face otherwise, we fit the entire image into the defined space.

Here’s how : Head back inside the onCreate() method in the MainActivity Class and define the transformations we just described using the MediaManager as thus :

// define transformation from MediaManager
MediaManager.get().url().transformation(new Transformation()
//if a face is detected
  .if("fc_gte_1").chain()
  //zoom into the face with the defined parameters
  .width(200).height(200).gravity("face").crop("thumb").chain()
  //if a face is not detected, fit the image into the defined params
  .if("else").width(200).height(200).crop("fit").chain()
  //end transformation
  .if("end").chain()
  .radius(40).border("4px_solid_black")).generate("selected_image.jpg")

Image Optimizations

By default, Cloudinary automatically performs certain optimizations on all transformed images. There are also a number of additional features that enable you to further optimize the images you use in your Android application. These include optimizations to image quality, format and size, among others. For example, you can use the auto value for the fetchFormat and quality attributes to automatically deliver the image in the format and quality that minimize file size while meeting the required quality level. Below, these two parameters are applied, resulting in a 50 percent file size reduction (1.4MB vs. 784KB) with no visible change in quality.

MediaManager.get().url().transformation(new Transformation().quality("auto").fetchForm
at("auto")).generate("selected_image.webp")

Convert image to another format

You can deliver any image uploaded to Cloudinary in essentially any image format. There are two major ways to convert and deliver in another format:

  • Specify the image's public ID with the desired extension.
  • Explicitly set the desired format using the fetchFormat parameter. Specifying the image's public ID with the desired extension is primarily the easiest way to convert it to another format. let’s take for example that we want to change the format of our uploaded image to a gif, we’ll simply specify it in the image delivery URL as thus :
MediaManager.get().url().generate("selected_image.gif")

Yeah, it’s that simple. We can also achieve the same result with the fetchFormat parameter. this is a bit trickier, but equally as simple.

MediaManager.get().url().transformation(new Transformation().width(350).crop("scale"))
.format("gif").generate("selected_image.jpg")

All we had to do was set the desired format to be a gif.

Cloudinary Transformation and Delivery capabilities

Cloudinary enables you to easily transform your images on-the-fly to any required format, style and dimension, and also optimizes images to have the minimal file size for an improved user experience and for saving bandwidth. You can do this by implementing dynamic image transformation and delivery URLs for accessing the images. You can change the required transformations at any time and all transformed images will be created on-demand (lazily) and delivered to your users through a fast CDN with optimized caching.

Cloudinary's image management service supports the following image transformation and delivery capabilities:

Conclusion

Cloudinary is a cloud-based service that provides an end-to-end image and video management solution. The Android SDK provides simple, yet comprehensive file upload, administration, manipulation, optimization, and delivery capabilities. These can be implemented using code that integrates seamlessly with your existing Android application. You can leverage these awesome capabilities and deliver amazing media solutions to your subscribers and have them thank you later. DEMO

Recent Blog Posts

Reimaging DAM--The Next-Gen DAM for Marketing & Dev

There are great digital asset management (DAM) products out there for uploading, storing, managing, organizing, and sharing digital assets. With Cloudinary's new end-to-end DAM solution, you can also upload and manage your assets efficiently, but the journey doesn't end there. It continues on to the development and delivery stages, so that your assets can be seamlessly manipulated, optimized, and delivered to create an engaging user experience that will in turn, increase conversion and loyalty.

Read more
Integrating Cloudinary with Forestry’s Media Library

At Forestry, we believe that there is a bright future for static HTML sites built with tools like Jekyll and Hugo. These tools can create sites that run well, and are easy to host and maintain, because they don’t require any server-side code.

Read more
Video Optimization With the HTML5 <video> Player

Lack of experience and compression knowhow can cause significant user-experience problems. For instance, on a major retail site, I recently ran into a 48 MB video-hero banner. Pulling out the video and encoding it as an H.264 MP4 reduces the size to 1.9 MB. So, despite the desire for more video content, developers have not yet caught up to best practices. How do we get the best of both worlds without creating a disaster like the one above?

Read more
Build a Facial Emotion Recognition Based Video Suggestion App

Developers are always looking for new and creative ways to deliver content that resonates with the way users feel. Often using the latest technical innovations the market has to offer such as Artificial Intelligence (AI) and Machine Learning (ML). What better way to demonstrate innovative uses of these technology in a consumer market than capturing expressions from your users and then serving content based on that expression!

Read more
Improve Customer Data Protection with GDPR Implementation

TL;DR

Yay! We've done it! Gold-Star for us! We've talked with all the people, made all the changes, paid all the lawyers and checked all the boxes. GDPR? ✅Done!

Not so fast. Of course, conforming to the GDPR regulations introduced in Europe is just the beginning. This is a process and a state of mind that must become part of our long-term cultural ethos.

Read more