AI-powered design engine that generates editable album cover artwork using computer vision and on-device ML.
FIBE revolutionizes album cover creation by making professional design accessible to every musician. Built entirely in Swift with cutting-edge AI integration, it enables artists to generate stunning album artwork using intelligent prompts, customize designs with professional editing tools, and export high-resolution covers ready for streaming platforms. The app bridges the gap between creative vision and technical execution in music artwork.
Musicians and independent artists needed a professional-grade album cover creation tool that could produce industry-standard artwork without requiring design expertise. The challenge was building a mobile-first solution that combines AI-powered design generation with professional editing capabilities while maintaining the visual quality standards expected in the music industry.
We developed FIBE, a native iOS album cover maker featuring AI-powered logo and artwork generation, professional typography with music-focused font collections, advanced photo manipulation with AI cutout technology, and specialized templates designed for album artwork. The app delivers studio-quality results through an intuitive mobile interface optimized for music creators.

Intelligent AI system specifically trained for music artwork creation. Artists input text prompts describing their album concept, and FIBE generates multiple professional cover options with appropriate typography, color schemes, and visual elements tailored for music releases.

Curated collection of 500+ fonts optimized for album covers, including bold display fonts, elegant serifs, and modern sans-serifs. Features advanced text styling with gradients, shadows, and effects commonly used in music industry artwork.

OpenCV-powered photo editing suite with AI-driven background removal, artist photo enhancement, and specialized filters designed for album photography. Includes healing tools and color correction optimized for music artwork.

Extensive library of album cover templates spanning all music genres - from hip-hop and electronic to indie and classical. Each template is professionally designed and easily customizable while maintaining industry-standard proportions.

Export album covers in all required formats for digital distribution - square formats for Spotify, Apple Music, and other streaming platforms, with resolution options from web preview to print-ready quality.
Native iOS architecture using MVVM pattern with Combine for reactive programming, Core Data for project persistence, and specialized modules for AI generation, template management, and album-specific export workflows.
Single-target iOS application optimized for album cover creation, distributed through the App Store with StoreKit subscription integration and Firebase Analytics for tracking user engagement and design completion rates.
Secure AI API integration for cover generation, local storage encryption for user projects, and privacy-focused design ensuring artist photos and album concepts remain confidential throughout the creation process.
Optimized graphics pipeline using Metal Performance Shaders for real-time effects, efficient Core Data queries for template loading, and memory-conscious handling of high-resolution album artwork up to 3000x3000 pixels.
Development of the fundamental album cover editor with layer management, basic photo editing, and template system specifically designed for square music artwork formats.
Implementation of AI-powered album cover generation with music-specific prompts, style recognition, and automated layout suggestions tailored for different music genres.
Advanced typography system with music-focused fonts, professional photo editing suite, and export optimization for streaming platform requirements.
Creation of comprehensive album cover template library spanning all music genres, with AI-generated variations and customization options.
App Store launch targeting musicians and independent artists, community feedback integration, and refinements based on real album cover creation workflows.
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