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.. "auto_examples/intro/plot_getting_started.py"
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.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_auto_examples_intro_plot_getting_started.py>`
        to download the full example code.

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.. _sphx_glr_auto_examples_intro_plot_getting_started.py:


Getting Started with mixref
============================

This example shows the basic usage of mixref for audio analysis.

mixref is designed for music producers who need quick, actionable insights
about their mixes. This example demonstrates the core workflow.

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Basic Setup
-----------

First, let's check that mixref is installed and working.

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.. code-block:: Python


    import mixref

    print(f"mixref version: {mixref.__version__}")





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 .. code-block:: none

    mixref version: 0.3.0




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Understanding the CLI
---------------------

mixref is primarily a command-line tool. While you can use it
programmatically (we'll show that later), most producers will use
it from the terminal.

Basic commands:

.. code-block:: bash

   # Get help
   mixref --help

   # Check version
   mixref --version

   # Analyze a track (coming soon)
   mixref analyze my_track.wav

   # Compare with reference (coming soon)
   mixref compare my_mix.wav reference.wav --genre dnb

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Next Steps
----------

- Learn about LUFS metering in the meters examples
- Check out BPM detection in the detective examples
- See A/B comparison workflows in the compare examples

**Tip for producers**: Start by analyzing reference tracks in your genre
to understand the target loudness and spectral balance.

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.. code-block:: Python


    print("Ready to analyze some audio! 🎧")




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 .. code-block:: none

    Ready to analyze some audio! 🎧





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   **Total running time of the script:** (0 minutes 0.001 seconds)


.. _sphx_glr_download_auto_examples_intro_plot_getting_started.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_getting_started.ipynb <plot_getting_started.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_getting_started.py <plot_getting_started.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: plot_getting_started.zip <plot_getting_started.zip>`


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    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_