┌────────────┐ │ ◯ ◯ ◯ │ ├────────────┤ │ Navigation │ │ Item 1 │ │ Item 2 │ │ Item 3 │ └────────────┘
╭─────────╮ │ Profile │ │ [Edit] │ │ [Save] │ ╰─────────╯
┏━━━━━━━━━━━┓ ┃ Settings ┃ ┃ ┌───────┐ ┃ ┃ │ Toggle│ ┃ ┃ └───────┘ ┃ ┗━━━━━━━━━━━┛
╔═══════════╗ ║ Dashboard ║ ║ ▓▓▓▓▓▓▓▓▓ ║ ║ ░░░░░░░░░ ║ ║ [Export] ║ ╚═══════════╝
iOS UI Training Datafor AI Applications
47 annotated iOS screens in a token-efficient ASCII format.
Teach AI models to generate native iOS interfaces, not Android ports.
47 Screens
iOS UI patterns
JSON annotations
ASCII Format
Token-efficient
LLM-optimized
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Commercial license
The Training Data Problem
Without iOS-specific training data, AI defaults to Android patterns
// AI-generated iOS code without proper training data struct ContentView: View { var body: some View { LinearLayout { TextView("Login") .textSize(24) .gravity(.center) EditText() .hint("Email") .inputType(.email) EditText() .hint("Password") .inputType(.password) Button("Sign In") .background("#2196F3") .textColor("#FFFFFF") } } } // ❌ Android patterns in iOS code
Android Patterns
Uses LinearLayout, TextView, EditText
Wrong Styling
Material Design instead of iOS design
Non-Native APIs
Incorrect method names and properties
Poor UX
Doesn't follow iOS guidelines
Sample iOS UI Patterns
47 screens with ASCII format and JSON annotations for iOS patterns.
iOS Patterns
5 of 47Sign Up Flow
iOS native signup with social options
┌────────────────────────────────────┐ │ Create Account │ ├────────────────────────────────────┤ │ Join thousands of users already │ enjoying our amazing app! │ │ Full Name │ ┌───────────────────────────────────────┐ │ │ John Doe │ │ └───────────────────────────────────────┘ │ │ Email │ ┌───────────────────────────────────────┐ │ │ john@example.com │ │ └───────────────────────────────────────┘ │ │ Password │ ┌───────────────────────────────────────┐ │ │ •••••••• │ │ └───────────────────────────────────────┘ │ At least 8 characters │ │ ☐ I agree to the Terms of Service │ and Privacy Policy │ │ [──── Create Account ────] │ │ ─────── or sign up with ─────── │ │ [Apple] [Google] [GitHub] │ │ Already have an account? Sign in └────────────────────────────────────┘
How This Dataset Helps Your AI
Token-Efficient
Structured format designed for LLM comprehension
iOS Screens
Comprehensive coverage of common iOS patterns
Format Spec
Tested format for better iOS code generation
How It Works
Format designed for AI comprehension of iOS interfaces.
iOS UI Dataset
A comprehensive iOS UI dataset for AI training. Filling the gap where Android has 600K+ samples.
dataset: "ios_native"
Token-Efficient Format
ASCII format requires far fewer tokens than screenshots or verbose descriptions.
format: "efficient"
Native iOS Patterns
Every screen teaches NavigationStack, TabView, List sections, and proper iOS conventions.
patterns: "native"
Model Compatibility
Works with GPT-4, Claude, Llama, or any LLM. Fine-tuning, RAG, or few-shot prompts.
compatible: "all"
Better iOS Code
Helps AI generate more idiomatic SwiftUI with proper iOS patterns and components.
output: "native_ios"
Professional License
Commercial use permitted. Enterprise datasets and API access coming soon.
license: "commercial"
Who's Using This?
AI coding assistants, LLM fine-tuners, and iOS tool builders.From startups to enterprises building the next generation of AI development tools.
┌────────────────────────────────────┐ │ Create Account │ ├────────────────────────────────────┤ │ Enter your details to create │ your account │ │ Full Name │ ┌───────────────────────────────────────┐ │ │ John Doe │ │ └───────────────────────────────────────┘ │ │ Email │ ┌───────────────────────────────────────┐ │ │ john@example.com │ │ └───────────────────────────────────────┘ │ │ [──── Create Account ────] └────────────────────────────────────┘
NavigationStack { Form { TextField("Full Name", text: $name) TextField("Email", text: $email) .textContentType(.emailAddress) Button(action: createAccount) { Text("Create Account") .frame(maxWidth: .infinity) } .buttonStyle(.borderedProminent) } .navigationTitle("Create Account") }
Pricing
Professional iOS UI training dataset for AI applications
iOS AI Training Starter Kit
🔒 Secure checkout coming soon
Questions from AI Teams Like Yours
Real questions from our customer interviews with AI companies
Why do AI models generate Android code for iOS?
Public training data is 99% Android. LLMs learned LinearLayout and TextView, not NavigationStack and List. Our dataset teaches proper iOS patterns.
How is this different from using screenshots?
ASCII format is far more token-efficient than images. Structured annotations teach component relationships that visual models miss. Format A2 was specifically designed for LLM comprehension.
What results should I expect?
AI models trained with this data generate more iOS-native code: NavigationStack instead of custom navigation, proper List sections, native button styles, and iOS-specific modifiers.
How do I integrate this with my AI?
Three ways: fine-tune your model, add to RAG/vector databases, or use as few-shot examples. Works with GPT-4, Claude, Llama, or any text-based model.
What's included in the starter kit?
47 screens covering authentication, navigation, lists, forms, and special iOS patterns. Each has ASCII representation + JSON annotations. Commercial license included.
Coming Soon: Enterprise Edition
1,000+ screens • API access • Custom annotations • HuggingFace dataset
Join the waitlist for early access and enterprise pricing.
Enterprise inquiries: enterprise@asciikit.com • Support: support@asciikit.com
Who Needs This
AI companies building code generation tools
Common Use Cases
→ AI Coding Assistants
- •Fine-tune models to generate proper SwiftUI instead of UIKit
- •Stop generating Android patterns in iOS code
- •Improve autocomplete accuracy for iOS developers
→ Enterprise AI Platforms
- •Train internal models on company-specific iOS patterns
- •Build iOS-aware code review and generation tools
- •Create specialized iOS development assistants
Start training your models on native iOS patterns today.
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