Convert MATLAB code to Python instantly. Perfect for migrating scientific computing, signal processing, and data analysis code to Python's open-source ecosystem.
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.
Hint: Describe what you want to build or paste requirements, select target language, and click Generate.
Need a different conversion? Visit our converter hub for more options.
Converting MATLAB to Python eliminates expensive licensing costs while accessing Python's vast open-source ecosystem. Our AI converter automatically translates MATLAB's matrix operations to NumPy, signal processing to SciPy, and plotting to Matplotlib. Whether you're migrating academic research code, moving corporate analytics to Python, or building reproducible data pipelines, the converter produces NumPy-based Python code that performs equivalently to MATLAB. Perfect for researchers sharing code publicly, companies reducing software costs, or data scientists integrating MATLAB algorithms into Python ML workflows. The converter handles MATLAB-specific syntax like colon operators, array slicing, and vectorized operations, transforming them into idiomatic NumPy code.
Converts MATLAB matrices to NumPy ndarrays. Element-wise operations (.*, ./), matrix multiplication (*), transpose ('), and linear algebra functions (inv, eig, svd) all map to NumPy equivalents. Supports multidimensional arrays and broadcasting.
Transforms plot(), scatter(), surf(), and figure() to Matplotlib pyplot functions. Subplots, axis labels, titles, legends, and styling all convert directly. 3D plotting uses mplot3d toolkit.
Converts fft(), filter(), conv(), and signal processing toolbox functions to scipy.signal and scipy.fft equivalents. Handles frequency analysis, filtering, and spectral analysis operations.
Maintains MATLAB's vectorized style using NumPy's broadcasting and vectorized operations. Avoids slow Python loops, keeping computational efficiency comparable to MATLAB.
MATLAB's 1-based indexing becomes Python's 0-based indexing. A(1:5) becomes A[0:5], end becomes -1, and colon operator : works similarly for slicing.
MATLAB function files become Python def statements. Multiple return values use tuple unpacking. nargin/nargout convert to default parameter values and multiple return statements.
Cell arrays convert to Python lists. Structs become dictionaries or dataclasses. Fieldnames access becomes dictionary key access or attribute access.
MATLAB matrices become NumPy arrays. All matrix operations translate to NumPy equivalents - element-wise operations, matrix multiplication (@), slicing, and broadcasting work similarly in NumPy.
MATLAB plotting functions (plot, scatter, surf) convert to Matplotlib equivalents. Figure/subplot structure, axis labels, titles, and legends all map directly to Matplotlib pyplot functions.
The converter handles MATLAB code but not visual Simulink models. For Simulink, export generated code or manually recreate logic using Python scientific libraries like SciPy and control system packages.
Migrate to Python's free, open-source scientific computing stack.
Start Converting
