C to Python Converter
Transform legacy C code into modern Python with AI-powered conversion. Automatically handles pointer arithmetic conversion to list indexing, struct-to-dataclass transformations, and memory management elimination. Processes C header files, function definitions, and struct declarations instantly without requiring manual rewriting.
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.
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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
- Step 1: Paste your C source code including header declarations, function definitions, and struct declarations into the input editor.
- Step 2: The AI analyzes C-specific patterns like pointer arithmetic, manual memory management (malloc/free), and low-level buffer operations.
- Step 3: Advanced language models transform C syntax to idiomatic Python, mapping pointers to object references, structs to dataclasses or named tuples, and stdio operations to Python's file handling.
- Step 4: Download clean Python code with proper imports, type hints (Python 3.9+), and memory-safe patterns ready for testing.
C vs Python: Language Comparison
| Feature | C | Python |
|---|---|---|
| Syntax Style | Procedural, brace-delimited | Multi-paradigm, indentation-based |
| Type System | Static, manual declarations | Dynamic, duck typing |
| Memory Management | Manual malloc/free | Automatic garbage collection |
| Concurrency | pthreads, manual synchronization | asyncio, threading, multiprocessing |
| Standard Library | Minimal (stdio, stdlib) | Extensive batteries-included stdlib |
Code Conversion Examples
Example 1: Array Processing with Pointers
#include <stdio.h>
void process_array(int *arr, int size) {
for (int i = 0; i < size; i++) {
arr[i] *= 2;
printf("%d ", arr[i]);
}
}
int main() {
int numbers[] = {1, 2, 3, 4, 5};
process_array(numbers, 5);
return 0;
}def process_array(arr: list[int]) -> None:
for i in range(len(arr)):
arr[i] *= 2
print(arr[i], end=' ')
if __name__ == "__main__":
numbers = [1, 2, 3, 4, 5]
process_array(numbers)Key Changes:
The C pointer parameter becomes a Python list with type hints. Pointer arithmetic (arr[i]) translates to list indexing. Manual array size tracking is eliminated—Python lists know their length. The printf statement converts to Python's print function with space separation.
Example 2: Struct to Dataclass Conversion
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
typedef struct {
char name[50];
int age;
float salary;
} Employee;
Employee* create_employee(const char* name, int age, float salary) {
Employee* emp = (Employee*)malloc(sizeof(Employee));
strcpy(emp->name, name);
emp->age = age;
emp->salary = salary;
return emp;
}from dataclasses import dataclass
@dataclass
class Employee:
name: str
age: int
salary: float
def create_employee(name: str, age: int, salary: float) -> Employee:
return Employee(name=name, age=age, salary=salary)Key Changes:
C's struct with typedef becomes a Python dataclass with automatic __init__, __repr__, and __eq__ methods. Manual memory allocation (malloc) is eliminated—Python handles object creation automatically. String copying (strcpy) is unnecessary as Python strings are immutable. Type hints provide static analysis benefits without C's rigid type system.
Frequently Asked Questions
Can I customize how C pointers are converted to Python?
The AI maps C pointers to Python object references by default. For pointer arithmetic patterns (ptr++, ptr[i]), the converter generates list indexing. Advanced customization (forcing NumPy arrays for numeric buffers, using ctypes for low-level interop) requires manual post-processing. The tool prioritizes idiomatic Python over literal C translation.
Is my C source code sent to external servers?
Yes. Unlike formatters that run client-side, AI conversion requires server-side LLM inference. Your code is transmitted over HTTPS to our API, processed by language models, then discarded after conversion. We do not store source code or train models on user submissions. For proprietary code, review your organization's data policies.
What C features cannot be automatically converted?
Inline assembly (__asm__), hardware-specific code (register manipulation, memory-mapped I/O), and platform-dependent system calls (POSIX vs Win32 APIs) require manual adaptation. Pointer-heavy algorithms (linked lists with manual memory management) may produce verbose Python. The tool excels at algorithmic C code but struggles with low-level systems programming.