Convert Math Images to Program
Turn screenshots and handwritten formulas into executable Python, MATLAB, or C++.
Drag & drop image or click to select
Supports PNG, JPG, JPEG, WebP (Max 10MB)
How to Convert Math Expressions to Code?
Upload and Select
Upload your expression image and select 'Math Expression to Code'
Start Conversion
Click the "Convert" button to start the conversion process
View Result
Once processing is complete, you can view, copy code, or share your results
See the Magic in Action
Upload a math expression image and get executable code in seconds.
Input

Result
Python1import math
2
3def solve_quadratic_equation(a, b, c):
4 """
5 Solves the quadratic equation ax^2 + bx + c = 0 using the quadratic formula.
6
7 Args:
8 a: The coefficient of x^2.
9 b: The coefficient of x.
10 c: The constant term.
11
12 Returns:
13 A tuple containing the two roots of the equation, or a message if there are no real roots.
14 """
15 delta = (b**2) - 4*(a*c)
16
17 if delta >= 0:
18 x1 = (-b - math.sqrt(delta)) / (2*a)
19 x2 = (-b + math.sqrt(delta)) / (2*a)
20 return x1, x2
21 else:
22 return "No real roots"
23
24# Example usage (replace with your desired values for a, b, and c):
25# a = 1
26# b = -3
27# c = 2
28# roots = solve_quadratic_equation(a, b, c)
29# print(roots)This example shows a quadratic equation being converted to a Python function.
AI conversion results may not be 100% accurate. Always review and test generated code before use.
Why use our Math Image to Program Converter?
Rapid Algorithm Implementation
Python & NumPy Optimized
∑), and products (∏), converting them into efficient, high-performance arrays.MATLAB & C++ Support
Handwriting to Function
Syntax Error Free
Secure Code Processing
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Frequently Asked Questions
How does Math Expression to Code conversion work?
Our system processes mathematical expressions in three steps: First, it recognizes the expression structure and symbols. Then, it converts them into an abstract syntax tree. Finally, it generates optimized, executable code in your chosen programming language.
What programming languages are supported?
We support conversion to Python, JavaScript, Java, C++, C#, Go, Rust, Ruby, MATLAB, R, and Julia. The system automatically optimizes the code using appropriate mathematical libraries for each language (e.g., NumPy/SciPy for Python, Math.js for JavaScript).
What libraries do I need to run the Python code?
For most mathematical operations, the generated Python code relies on the standard math library. For matrix operations or complex linear algebra, we generate code optimized for numpy. Make sure to import these libraries (import numpy as np) before running the snippet.
Does it output a numerical answer or source code?
This tool is a Code Generator, not a calculator. It outputs the source code (a function or expression) that implements the formula. You can copy this code into your IDE, define your variables, and run it to get numerical results for any input.
How does it handle complex summations and integrals?
The AI converts summations (∑) into for loops or vector operations (like np.sum), and products (∏) into multiplication loops. For integrals, it generates the code structure for numerical integration (e.g., using scipy.integrate syntax or approximation loops), depending on the complexity.
What are common uses of Math Expression to Code conversion?
Common use cases include:
- Research: Convert mathematical formulas from papers to code
- Development: Transform equations into optimized implementations
- Education: Create interactive math demonstrations