peqdb

peqdb / autoeq-c

Public

Blazing fast AutoEQ in C

peqdb.com audio frequency-response headphones iems
15
3
100% credibility
Found Feb 08, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
C
AI Summary

A fast C program that creates precise equalizer adjustments from headphone frequency measurements to match ideal sound curves, usable in web apps or directly on your computer.

How It Works

1
🔍 Discover AutoEQ-C

You find this handy tool while searching for ways to make your headphones sound perfect, like matching pro audio curves.

2
đź“– Learn the basics

You read simple guides showing how it turns your headphone measurements into custom sound tweaks.

3
đź“Š Gather your data

You collect a graph of your headphones' sound (measurements) and pick a target sound curve you love.

4
✨ Generate your EQ magic

You feed in your graphs, choose how many tweaks (like 8 filters), and the tool quickly crafts perfect adjustments for your setup.

5
đź“‹ Get your settings

You receive a list of simple adjustments like frequency boosts or cuts to paste into your music app's equalizer.

🎧 Enjoy tuned sound

Your headphones now play music exactly how you want, clear and balanced, like a personal sound engineer tuned them.

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AI-Generated Review

What is autoeq-c?

autoeq-c ports AutoEQ to C for blazing fast parametric EQ filter fitting, turning headphone or speaker measurements into precise biquad presets (peaking, low/high shelf). Feed 384 log-spaced frequency points (20Hz-20kHz) for target and source curves via CLI or WASM/JS API, pick smoothing (in-ear, over-ear, or none), and get optimized filters with f0, gain, Q, plus amp/loss metrics. Great for generating autoeq csv file exports without Python overhead.

Why is it gaining traction?

It crushes JS/Python AutoEQ ports on speed—milliseconds per fit via AdaBelief optimizer—making real-time web EQ viable, unlike slower blazing fast whisper alternatives. Preset configs for standard/precise results stand out, with interp for resampling data; devs on autoeq ca reddit praise its accuracy over autoeq canada reviews of bloated tools. Blazing fast github traction comes from WASM embedding and CLI simplicity.

Who should use this?

Audio plugin devs needing client-side EQ in browsers or Node. Embedded engineers fitting filters for DSP chips. Headphone tweakers scripting from REW exports, or web app builders like custom autoeq ca tools skipping server costs.

Verdict

Grab it for blazing fast AutoEQ if you're prototyping audio pipelines—solid examples, LGPL license, runs anywhere C compiles. At 12 stars and 1.0% credibility, it's early; lacks tests/community, so validate outputs before prod.

(178 words)

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