QuickCompress – Batch Image Compression Platform
A full-stack batch image compression web application enabling users to compress up to 20 images simultaneously with customizable quality, format conversion, and automated file management.
Role
Full Stack Developer
Year
2025
Category
Development · Full Stack · Web App
Stack
9 technologies
Type
Full Project
The Problem
Usersstrugglewithslow,compleximagecompressionworkflows.Existingtoolseitherlackbatchprocessing,requireuploadstountrustedservices,orprovidelimitedformatoptions.Filemanagementandcleanupacrossmultipleuploadscreateclutterandstorageoverhead.
The Solution
BuiltastreamlinedFlask-basedcompressionplatformsupportingbatchprocessingofupto20imageswithreal-timequality/dimensioncontrols,formatconversion(WebP,JPEG,PNG),automaticfiledeletionafter1hour,anddual-downloadoptions(individual+ZIP).
Design Decisions
Designedformaximumsimplicityandefficiency.Emphasizeddrag-and-dropuploads,real-timebefore/aftercomparisons,andone-clickbatchdownload.Focusedonreducingcognitiveloadthroughclearmetrics(compression%,sizesavings),intuitivesliders,andaccessibledark/lightmode.
What I Built
Designed full-stack architecture using Flask backend with REST API
Implemented batch image compression using Pillow with quality/dimension optimization
Created responsive frontend using Tailwind CSS and vanilla JavaScript
Built file management system with automatic cleanup (1-hour TTL)
Designed before/after visualization for compression metrics
Implemented drag-and-drop upload interface with validation
Developed dark/light mode toggle for user preference
Set up deployment configuration for Render/Railway/PythonAnywhere
Tech Stack
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What was
delivered
Deliveredaproduction-readycompressionplatformdeployedonfreetierservices(Render/Railway),enablinguserstoprocessandoptimizemultipleimagesquicklywithouttechnicalknowledgeorsubscriptionrequirements.