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Python Open Room Correction (PORC)

Free#21 of 30 in Room Correction Software

Python Open Room Correction (PORC): Free stereo correction filter generation for technically minded convolution workflows. Ranked #21 of 30 in Room Correction Software by our editors (6.7/10); pricing: Free plan; best for command-line stereo convolution users.

6.7/10Editor score
Python Open Room Correction (PORC)6.7 Visit PORC

At a glance

  • Editor score
    6.7 / 10
  • Pricing
    Free plan
  • Best for
    Command-line stereo convolution users
  • Free plan
    Yes
  • Paid from
    Free
  • Automatic room EQ
    Yes
  • Facts checked
    21 Oct 2026
  • Where it wins

    • Generates mixed-phase and fixed-pole correction filters
    • Accepts REW, Holm Impulse and Arta measurement inputs
    • Exports configurable convolution filters for PC and OpenDRC
  • Where it doesn't

    • Requires separate measurement software and a calibrated microphone
    • Command-line workflow requires Python and scientific-package setup
    • Correction scope is limited to stereo systems

Our verdict on Python Open Room Correction (PORC)

Python Open Room Correction (PORC) is a command-line DSP tool for generating loudspeaker-room correction filters. It models transfer functions, applies fixed-pole parallel-filter equalization, and supports mixed-phase compensation and configurable target-response curves. The workflow is aimed at solo users and small setups running Windows or Linux who already work with measured impulse-response data and want to create convolution filters for stereo playback.

PORC is free and has no paid tiers. Its processing accepts measurements from Room EQ Wizard, Holm Impulse or Arta, then produces selectable tap counts and output formats for PC playback workflows. Integrations include foobar2000 convolver, jconvolver, Jack and OpenDRC; binary 32-bit floating-point output is available for OpenDRC. This makes PORC suitable for users assembling a software-based convolution chain rather than looking for an all-in-one room-correction application. The scope remains focused on stereo correction and desktop deployment.

Setup requires external measurement software, a calibrated microphone and a Python environment with Python 2.7, SciPy, NumPy and Matplotlib. Users must supply speaker impulse-response data and operate the processing through command-line options, so onboarding is more technical than in tools that combine measurement, filter design and playback control. Email and documentation support are available. Choose PORC if you want configurable filter generation and can manage the measurement and convolution components yourself; choose another option if built-in room measurement, a graphical workflow or broader system coverage is essential.

Your product? Our editors can test Python Open Room Correction (PORC) in depth and publish a review, labelled as paid · from $149/mo →

Python Open Room Correction (PORC) pricing

Plans Free planFree Free to use — no paid tier required for the core job.
See plans on github.com

Python Open Room Correction (PORC) fact sheet

Free planYes
Paid fromFree
Room measurement toolsNo
Automatic room EQYes
Convolution correctionYes
Hardware calibrationNot verified
Maximum channelsNot verified
Supported operating systemsCross_platform
Correction scopeStereo
DeploymentDesktop
PlatformsWindows, Linux
SupportEmail, Docs
Built forSolo, Small business (editorial estimate)
Integrations7 integrations: Room EQ Wizard (REW), Holm Impulse, Arta, foobar2000 convolver, jconvolver, Jack …
PricingFree plan
Websitegithub.com
Facts checked21 Oct 2026

Python Open Room Correction (PORC) integrations

Python Open Room Correction (PORC) lists 7 integrations on its own site.

  • Room EQ Wizard (REW)
  • Holm Impulse
  • Arta
  • foobar2000 convolver
  • jconvolver
  • Jack
  • OpenDRC

Alternatives to Python Open Room Correction (PORC)

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Featured on iTechGuides

Featured on iTechGuides — Python Open Room Correction (PORC) 6.7/10

Python Open Room Correction (PORC) is listed in our Room Correction Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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