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jaakkopasanen/autoeq

Analysis updated 2026-06-24

15,776PythonAudience · generalComplexity · 3/5Setup · easy

TLDR

Tool that auto-generates equalizer settings for thousands of headphones so they match a chosen target sound curve. Comes as a web app, Python library, CLI, and measurement database.

Mindmap

mindmap
  root((AutoEq))
    Inputs
      Headphone measurement
      Target curve
      Sample rate
    Outputs
      Parametric EQ settings
      Graphic EQ values
      EqualizerAPO config
      Wavelet preset
    Use Cases
      Tune headphones to neutral
      Match a target sound signature
      Batch process many headphones
    Tech Stack
      Python
      NumPy
      CLI
      PyPI
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Code map

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What do people build with it?

USE CASE 1

Get ready-to-import EQ settings for your headphones from the web app

USE CASE 2

Run AutoEq locally to tune a measurement that is not in the database

USE CASE 3

Batch generate EQ presets for many headphone models from a script

USE CASE 4

Build a custom audio tool on top of the AutoEq Python library

What is it built with?

PythonNumPyCLI

How does it compare?

jaakkopasanen/autoeqkanaries/pygwalkerpyecharts/pyecharts
Stars15,77615,77415,760
LanguagePythonPythonPython
Setup difficultyeasyeasyeasy
Complexity3/52/52/5
Audiencegeneraldatadata

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

Web app needs no setup, Python CLI needs pip install autoeq and a measurement file.

In plain English

AutoEq is a tool for automatically calculating equalization settings for headphones. Equalization (EQ) means adjusting the balance of frequencies in audio, boosting bass, reducing harshness in the high end, and so on, to make headphones sound more accurate or to match a target sound profile. Doing this manually requires technical knowledge, but AutoEq automates the calculation. The project measures how headphones reproduce sound compared to a reference target (what "neutral" or "ideal" sound looks like), then computes the EQ adjustments needed to bring the headphones closer to that target. These settings can then be imported into the equalizer app of your choice. The easiest way to use it is through the web app at autoeq.app, no installation needed. You select your headphones from a large database, choose your target sound signature, and get ready-to-import settings for your equalizer software. For developers, the project also provides a Python library available as a PyPI package, a command-line interface for batch processing, a large database of headphone frequency response measurements sourced from several well-known audio measurement communities, and pre-computed results for many headphone models. This is aimed at audio enthusiasts who want to improve their headphone sound through equalization but do not want to do the manual measurements and calculations themselves, as well as developers who want to build on the AutoEq library for their own audio tools.

Copy-paste prompts

Prompt 1
Run AutoEq against a frequency response CSV and output an EqualizerAPO config for my Sennheiser HD600
Prompt 2
Show me how to call the AutoEq Python library to compute parametric EQ for a Harman target
Prompt 3
Generate Wavelet and Poweramp EQ presets for a list of headphones in one CLI command
Prompt 4
Compare two AutoEq target curves and explain what frequencies will sound different

Frequently asked questions

What is autoeq?

Tool that auto-generates equalizer settings for thousands of headphones so they match a chosen target sound curve. Comes as a web app, Python library, CLI, and measurement database.

What language is autoeq written in?

Mainly Python. The stack also includes Python, NumPy, CLI.

How hard is autoeq to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is autoeq for?

Mainly general.

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