→ 
Python to Swift Converter (Free AI Tool)
Convert Python to Swift for iOS and macOS development with intelligent type inference. Transform Python's dynamic typing to Swift's type safety, list comprehensions to functional chains, and classes to value types (structs) or reference types (classes). Port algorithms and business logic to Apple platforms.
Paste code in both editors to see differences
Hint: Paste original code on left, modified code on right, then click Compare to see differences highlighted.
Hint: Paste your code, customize font size and line numbers, then click Export PDF to download formatted code.
Hint: Paste your JWT token to decode and view its header, payload, and signature. The tool validates token structure and format.
Hint: Select conversion type, paste your data, and get instant conversion. Supports JSON, YAML, XML, Excel, PDF, and more.
Issue Description
Hint: Describe what you want to build or paste requirements, select target language, and click Generate.
How It Works
- 1
Paste Python Functions, Classes, or Algorithms
Input your Python code including functions, class definitions, list comprehensions, or data processing logic. The converter handles Python 3.x syntax.
- 2
AI Infers Swift Types and Converts Semantics
The AI analyzes variable usage to infer static Swift types (Int, String, Double), converts None to Swift optionals (Type?), transforms list comprehensions to map/filter chains, and chooses struct vs class based on mutability patterns.
- 3
Review Type-Safe Swift with Optionals
Receive Swift code with explicit type annotations, optional bindings (if let, guard let), Foundation framework APIs, and idiomatic Swift patterns. Ready for Xcode integration in iOS, macOS, watchOS, or tvOS projects.
Python vs Swift: Language Comparison
| Feature | Python | Swift |
|---|---|---|
| Type System | Dynamic, duck typing | Static, type inference |
| Memory Model | Reference semantics, GC | Value + reference, ARC |
| Null Handling | None (implicit) | Optionals (Type?) |
| Collections | list, dict, set | Array, Dictionary, Set |
| Error Handling | try/except | do/catch with throws |
| Functional Features | List comprehensions | map, filter, reduce |
Code Examples
Example 1: List Comprehension to Functional Chain
# Python with list comprehensions
numbers = [1, 2, 3, 4, 5, 6]
evens = [n * 2 for n in numbers if n % 2 == 0]
users = [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}]
names = [user["name"] for user in users if user["age"] > 26]// Swift with functional chaining
let numbers = [1, 2, 3, 4, 5, 6]
let evens = numbers.filter { $0 % 2 == 0 }.map { $0 * 2 }
struct User {
let name: String
let age: Int
}
let users = [User(name: "Alice", age: 30), User(name: "Bob", age: 25)]
let names = users.filter { $0.age > 26 }.map { $0.name }Key Changes:
Python's list comprehensions convert to Swift's functional methods (filter, map). Swift's trailing closure syntax ($0, $1) provides concise lambda-like expressions. Python dictionaries with string keys become typed Swift structs for compile-time safety. The filter { } and map { } chain replaces Python's single-line comprehension, making data transformations explicit and type-safe.
Example 2: Python Class with None to Swift with Optionals
# Python class with dynamic typing
class UserProfile:
def __init__(self, username, email=None):
self.username = username
self.email = email
self.verified = False
def get_display_name(self):
if self.email:
return f"{self.username} ({self.email})"
return self.username
@property
def is_complete(self):
return self.email is not None// Swift struct with optionals and value semantics
struct UserProfile {
let username: String
var email: String?
var verified: Bool = false
func getDisplayName() -> String {
if let email = email {
return "\(username) (\(email))"
}
return username
}
var isComplete: Bool {
return email != nil
}
}Key Changes:
Python's __init__ with default None converts to Swift's optional property (String?). Python's dynamic self attributes become explicit Swift properties with type annotations. Python's @property decorator becomes a computed property (var with get). Swift uses optional binding (if let) for safe unwrapping instead of Python's truthiness checks. Swift favors structs for data objects (value semantics) over classes unless reference semantics are needed.
Frequently Asked Questions
Python's duck typing and runtime introspection have no Swift equivalent. Multiple inheritance requires protocol composition in Swift. Python's dynamic imports and eval() cannot be converted. Decorators need manual translation to property wrappers or higher-order functions. Global mutable state requires careful refactoring to Swift's value semantics and immutability preferences.
No. All Python to Swift conversion happens entirely client-side in your browser using JavaScript-based AI. Your Python algorithms, business logic, or proprietary code never leaves your machine. The tool works offline once loaded.
The converter detects None values and generates Swift optionals (Type?) with 90%+ accuracy. However, Python's implicit None returns and nullable function parameters may require manual review. Force-unwrapping (!) is avoided in favor of optional binding (if let) or nil-coalescing (??) for safety.