Matrix Converter

Convert matrices between different formats including CSV, JSON, MATLAB, Python NumPy, LaTeX, and more. Supports automatic parsing, validation, and batch conversion with customizable formatting options.

Input

Format:

CSV Delimiter:

Decimal:

Output

Format:

Precision:

Variable Name:

Batch Conversion

Supported Matrix Formats

CSV Format

Comma-separated values with customizable delimiters. Perfect for Excel and spreadsheet applications.

JSON Format

JavaScript Object Notation with nested arrays. Ideal for web applications and APIs.

MATLAB Format

MATLAB matrix syntax with semicolon row separators. Compatible with Octave and MATLAB.

Python/NumPy

NumPy array format for Python scientific computing. Includes import statements.

LaTeX Format

Mathematical typesetting with bmatrix environment. Perfect for academic papers.

Excel Format

Tab-separated format compatible with Microsoft Excel and Google Sheets.

Converter Features

Auto-Detection

Automatically detects input format based on content structure and syntax patterns. Supports mixed delimiters and various number formats for seamless conversion.

Validation & Error Handling

Comprehensive validation ensures data integrity during conversion. Detailed error messages help identify and fix formatting issues in input data.

Customizable Options

Configure delimiters, decimal separators, precision, and variable names. Flexible formatting options adapt to different regional and application requirements.

Batch Processing

Convert multiple matrices simultaneously with different output formats. Efficient workflow for processing large datasets and multiple file types.

Live Preview

Real-time matrix visualization with dimensions, type detection, and property analysis. Preview results before conversion to ensure accuracy.

Multiple Export Options

Download converted matrices as files or copy to clipboard. Supports batch downloads with automatic file naming and compression.

Usage Examples

CSV to MATLAB

Input (CSV):

1,2,3
4,5,6
7,8,9

Output (MATLAB):

matrix = [
    1, 2, 3;
    4, 5, 6;
    7, 8, 9
];

JSON to LaTeX

Input (JSON):

[[1, 2], [3, 4]]

Output (LaTeX):

\begin{bmatrix}
1 & 2 \\
3 & 4
\end{bmatrix}

MATLAB to Python

Input (MATLAB):

[1 2; 3 4]

Output (Python):

import numpy as np

matrix = np.array([
    [1, 2],
    [3, 4]
])

Frequently Asked Questions

What matrix formats are supported?

We support CSV, JSON, MATLAB, Python/NumPy, LaTeX, Excel, Mathematica, R, and Julia formats. The auto-detection feature can identify most common matrix formats automatically.

How does auto-detection work?

Auto-detection analyzes the structure, delimiters, brackets, and syntax patterns in your input to determine the most likely format. It handles mixed formats and provides confidence scores for accuracy.

Can I convert multiple matrices at once?

Yes! Use the batch conversion feature to process multiple matrices simultaneously. You can specify different output formats for each matrix and download them all as a ZIP file.

What file types can I upload?

You can upload .csv, .json, .txt, .m (MATLAB), .py (Python), and .tex (LaTeX) files. The converter will automatically detect the format and parse the matrix data.

How do I handle different decimal separators?

Use the decimal separator option to specify whether your numbers use dots (.) or commas (,) as decimal separators. This is especially useful for European number formats.

Can I customize the output precision?

Yes, you can set the precision from 2 to 8 decimal places or choose full precision. This helps control file size and readability based on your specific needs.