IMG Processing AI Features

In the last two posts about IMG Processing, I have shown you how to interact with the API using the HTTP endpoints, and using the Node.js SDK.

Today I would like to showcase the AI Features available on IMG Processing and how to use them, so let’s start.

Before Starting

The first step is creating an account.

IMG Processing

IMG Processing - Image Processing API. A picture is worth a thousand words. Integrate powerful image processing capabilities into your applications in minutes

img-processing.com

As soon as you sign up for the IMG Processing API, you will receive a test API key that you can use to make requests to the API.

Image Generation

Now we have an API Key, the first AI feature I would like to talk about is the image generation feature. Using Stable Diffusion, it has great performance and competes in quality and price with almost all the solutions on the internet like DALL-E 3 and Midjourney.

The endpoint to generate images is /v1/images/imagine and receives a name, prompt, and an inverse prompt as payload. Try it yourself using the tool of your preference or directly on the playground:

Imagine Image - IMG Processing

Creates a new image using AI

docs.img-processing.com

We can check the created image using the download endpoint or by going to the dashboard:

As you can see, it generates a cat image of 1024x1024 pixels.

Image Classification and Visualization

If you want to add labels to an image or identify what is shown in an image, the endpoint /v1/images/{imageId}/classify is very helpful. Using ResNet-50, it is able to categorize an image with high accuracy within a set of 1000 labels.

Image Classification - IMG Processing

Classifies the image giving a list of labels and their probabilities

docs.img-processing.com

As you can see, after giving it the image we generated using the AI, it identified the cat as a Tabby with a score of 62%, which is correct. However, the bad thing about this model is that it is limited to 1000 labels, and the world is full of things beyond that.

If you work with more complex images, you probably prefer a cutting-edge model like Uform-Gen or LLaVA. These models allow you to ask questions and generate responses about an image. For example, we can ask the AI what is featured in this image using the endpoint /v1/images/{imageId}/visualize.

Visualize Image - IMG Processing

Answer a prompt based on the content of an image.

docs.img-processing.com

Here, after asking the AI In a single word. What is featured in this image?, it answered correctly cat. Here is up to your imagination, but you can use this in any way you prefer. For example, let’s use it to create a caption:

Awesome, isn’t it?

Background Removal

One of the main functionalities of IMG Processing is the background removal feature, being one of the best on the whole internet in quality and price, being x50 cheaper than tools like RemoveBG and getting awesome results. Let’s see it:

Remove Image Background - IMG Processing

Remove the background from an image.

docs.img-processing.com

You can see, a PNG image was returned. Let’s download it:

Nice, we downloaded it. Here is the result:

That’s it; we removed the background of the image in an easy, fast, and cheap way.

Future Features

Those are the only AI Features available at the moment, but in the future, I have plans to integrate an effect to blur backgrounds using the distinct layers I get in the remove background feature, add improved OCR capabilities (visualize endpoint works okay, but it hallucinates), add more models for classification, image generation, and background removal, image variations, etc.

For now, thanks for reading, and I hope you enjoy this tutorial!

---

If you enjoy the content, please don’t hesitate to subscribe and leave a comment! I would love to connect with you and hear your thoughts on the topics I cover.