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Matrix Vectorization Tool

Flatten a matrix in row-major or column-major order.

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  1. 01

    Add your input

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  2. 02

    Make it yours

    Adjust the options and run the action.

  3. 03

    Take the result

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Flatten matrix to array online

Flatten a matrix in row-major or column-major order. Use this when inspecting structured input or preparing a data or code artifact. Generated commands and configurations remain text until you review and use them yourself.

How to use it

Paste JSON matching the structure in the example. Set traversal. Choose Run tool. Review the output, then copy or download it.

Options and example settings

OptionChoices / valueExample default
Traversalrow / columnrow

Worked examples

Use this when inspecting structured input or preparing a data or code artifact. Generated commands and configurations remain text until you review and use them yourself.

Reproducible worked example

Settings: Traversal: row

Input:

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

With the input and settings above, the tool produces:

Output:

[
  1,
  2,
  3,
  4
]

The example returns 4 top-level items in an array.

Limitations and common mistakes

  • Finite floating-point matrix arithmetic with a 30×30 input bound. Near-singular matrices and scale differences can cause numerical error; verify critical calculations independently.
  • Combined input is bounded to 150,000 characters; output text is bounded to 1.2 million characters. Some algorithms impose smaller limits, stated in their error messages.

Frequently asked questions

What format should I enter?

Paste JSON matching the structure in the example. The worked example shows the supported structure and actual output.

How can I flatten a matrix online?

Paste JSON matching the structure in the example. Set traversal. Choose Run tool. Review the output, then copy or download it.

Where is my input processed?

The bundled tool processes input in your browser. It does not upload tool input to a conversion service. Other site plugins, analytics, advertising and browser extensions may have separate behavior.

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