Case study

TextArt

Rich text customization on photos with gradients and stickers.

Overview

TextArt is a comprehensive graphic design app specializing in text customization and typography art. The app transforms text into stunning visual compositions with professional-grade editing tools, making it perfect for creating social media posts, quotes, motivational images, and personalized graphics.

Project Details

Role: iOS Developer

Timeline: Aug 2021 - Sep 2021 (1 month)

Platform: iOS

Graphic Design & Typography
TextArt — Case study showcase

Illustrative concept artwork

Key Technical Challenges

Core engineering challenges tackled during application development:

  • Multi-layer text rendering with Core Graphics maintaining performance
  • Complex attribute management for text styling (gradient, stroke, shadow simultaneously)
  • Vector-based text ensuring sharpness at all resolutions
  • Background texture and gradient rendering without performance impact
  • Canvas size management for different social media platforms

Features & Technical Capabilities

Engineered capabilities and platform functionality:

System Capabilities

  • Built text customization with highlight, stroke, gradient, shadow, opacity using Core Graphics
  • Implemented multi-layer text composition with independent styling per layer
  • Created four modes: Text Art, Mirror Text, Fancy Text, and My Collection
  • Built background customization supporting solid, gradient (linear/radial), image, and texture
  • Integrated sticker library with emojis and icons
  • Created canvas size presets for Instagram, Facebook, Twitter
  • Implemented quotes library with inspirational text
  • Built export system supporting multiple resolutions (HD, 4K)
  • Integrated direct sharing to social platforms and messaging apps

Technology Stack

Core Technologies & Libraries

  • Swift
  • UIKit
  • Core Graphics

Technical Contribution

This prior-role entry documents implementation responsibilities and product capabilities. Business-volume and performance outcomes are not presented because independent measurement evidence is unavailable.