# erdewit/HiFiScan

Optimize the audio quality of your loudspeakers

Repository: https://github.com/erdewit/HiFiScan
Canonical: https://ross.abutalabs.com/products/hifiscan
Language: Python
License: BSD-2-Clause
License Family: permissive
Archived: true
Last push: 2023-11-29T14:59:45+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1452, "days_push": 1008, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1035, forks 31 (observed 2026-08-28T04:03:18.945948+00:00)

## What it is
A Python application that measures a loudspeaker's frequency response using a chirp sweep and a microphone, then computes a FIR correction to equalize the audio system. It offers both an interactive GUI and a Jupyter notebook workflow, exporting correction filters for use with external equalizers.

## Use cases
- measure speaker frequency response with a microphone
- generate FIR correction filter for room EQ
- flatten laptop speaker spectrum
- create correction WAV to import into Equalizer APO or EasyEffects
- interactively equalize audio peaks and troughs

## When to choose
- you want to measure and correct speaker frequency response with a calibrated microphone
- you already use an external equalizer that accepts FIR/WAV impulse responses
- you prefer a Python/Jupyter-based measurement workflow

## When to avoid
- you need the equalization itself built in - HiFiScan only generates corrections
- you lack a quality external microphone
- you need real-time DSP correction rather than filter generation

## Facets
- artifact type: application
- maturity: maintenance
- function: audio-processing, gui, cli
- domain: media, developer-tools
- platform: python, windows, cross-platform
- tags: equalizer, fir-filter, speaker-calibration, frequency-response, measurement, audio, linux, macos

## Member repositories
- erdewit/HiFiScan (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:18.945948+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:04:53.864368+00:00, confidence not recorded.
  - readme: https://github.com/erdewit/HiFiScan (fetched 2026-08-28T04:03:18.945948+00:00, sha ebc8fe142b23)
  - registry_pypi: https://pypi.org/pypi/hifiscan/json (fetched 2026-08-29T13:05:51.678075+00:00, sha ac1935abc622)
- Data as of 2026-08-30T08:39:29.467469+00:00.