QuickSticker – AI-Powered Sticker Studio
A full-stack AI-powered sticker creation platform that turns any image or text-to-image prompt into WhatsApp-ready stickers in seconds using intelligent background removal and optimized compression.
Role
Full Stack Developer & AI Engineer
Year
2025
Category
Development · AI/ML · Full Stack
Stack
11 technologies
Type
Full Project
The Problem
Usersstruggletocreateprofessionalstickersmanuallyorrelyongenerictoolsthatproducelow-qualityresults.WhatsApp's100KBsizerequirementcreatestechnicalbarriers,andmobileuserslackintuitiveinterfacesforstickercustomization.
The Solution
Developedanend-to-endAIstickerstudiocombiningPollinationsAIforimagegeneration,U2Net(rembg)forautomatedbackgroundremoval,andacustomquality-optimizationalgorithmthatensuresstickersmeetWhatsApp's<100KBthresholdwithoutqualityloss.
Design Decisions
Prioritizedmobile-firstdesignwithintuitiveinteractionflows.Designedcustomcomponentstoovercomenativemobilelimitations(fontpicker,modalsystem).Focusedonreal-timevisualfeedback,drag-and-droptextoverlays,andminimalfrictionforstickerexportandsharing.
What I Built
Designed modular backend architecture with Services/Routes pattern for scalability
Implemented AI image generation pipeline via Pollinations API integration
Built intelligent WEBP compression algorithm targeting <100KB constraint
Created custom vanilla JavaScript UI system with canvas-based real-time preview
Developed custom font picker component for mobile WYSIWYG experience
Integrated Web Share API for native WhatsApp/Telegram sharing on mobile
Implemented rembg session management for optimized background removal
Tech Stack
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What was
delivered
Deliveredaproduction-readyAIstickerplatformthatenablesuserstogenerateprofessional,WhatsApp-compliantstickerswithminimalfriction.Solvedthe100KBbarrierthroughalgorithmicoptimizationwhilemaintainingvisualquality.