Image upscaling app based on AI & ML

Case Study


Deep-Image is a web app that can increase the size of images, photographs or video frames without quality loss.

Deep Image Case Study - Introduction

The app is based on NeuroAPI - a platform that allows users to easily develop products based on Artificial Intelligence and Machine Learning.


Deep Image


  • UI/UX design
  • web development
  • front-end
  • back-end
  • machine learning
  • image processing


Artificial Intelligence & Machine Learning

The problem

Casual image editing tools are unable to increase images resolution without losing image quality. If you try to increase the size of an image, it will often have a pixelation or blur effect.

Deep Image Case Study - Problem

The Solution

Deep-Image allows you to increase the image size without losing its quality. You can use batch processing with Google Drive to process up to 100 images, upload a single photo or connect via REST API to use Deep-Image functionalities in your app.

Deep Image Case Study - Solution

What’s more, if you’re a Shopify store owner you can install Deep-Image integration directly from the Shopify App Store.

The whole application is based on NeuroAPI - Artificial Intelligence platform. It allows users to create a dedicated AI base and expose it via API. Then it can be easily integrated into any app (web, mobile or desktop).

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Image recognition mobile app for online shopping

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