React Image Enhancer Pro is a modern browser-based image editing application built with React, Vite, TypeScript and Tailwind CSS.

The application lets users enhance images directly in the browser with controls for brightness, contrast, saturation and sharpness, along with an Auto Enhance option for quick adjustments.

Multiple images can be uploaded using drag and drop or file browsing, making the tool suitable for batch image workflows. Users can resize images using maximum-side or percentage-based scaling options and convert images between PNG, JPG and WebP formats.

Image processing is performed entirely on the client side using the Canvas API, so images do not need to be uploaded to a server. The application is therefore designed for offline-friendly and privacy-focused workflows.

The project also supports individual image downloads, batch ZIP export and reusable presets stored in localStorage. It is suitable for developers, designers, photographers and content creators who need a lightweight frontend image-processing solution.

• React + Vite + TypeScript — Built with a modern frontend technology stack.

• Tailwind CSS — Utility-based styling for a customizable interface.

• Multiple Image Upload — Upload several images using drag and drop or file browsing.

• Brightness Control — Adjust image brightness directly in the browser.

• Contrast Control — Fine-tune image contrast.

• Saturation Control — Adjust color saturation.

• Sharpness Control — Enhance image sharpness.

• Auto Enhance — Provides a quick image optimization option.

• Flexible Resizing — Resize using None, Maximum Side or Scale Percentage.

• Format Conversion — Export images as their original format, PNG, JPG or WebP.

• Batch ZIP Export — Export multiple processed images together as a ZIP file.

• Individual Downloads — Download processed images separately.

• Preset Management — Use built-in presets and save or delete custom presets.

• Local Storage — Custom presets are stored using browser localStorage.

• Client-Side Processing — Image processing uses the browser Canvas API.

• Offline-Friendly — No server upload is required for image processing.

• Modern web browser such as Chrome, Firefox, Edge or Safari.

• JavaScript must be enabled in the browser.

• No server or backend is required for normal client-side image processing.

• Basic HTML/JavaScript knowledge is optional for integration.

• For development from source, Node.js and npm or Yarn are required.

• A local development server may be used for testing React and Vite projects.