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Tech riderRev. 4 Oct 2026

DeepFilterNet

Ch 156.9of 65 Software Composition Analysis Software
  1. 1Runs onLinux, Mac, Windows
  2. 2CostsFree plan
  3. 3Processing modeboth
  4. 4Input typesaudio
  5. 5Supported platformsmultiple
5 lines stated Written from the maker's own pages: github.com
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The DeepFilterNet homepage

Overview

DeepFilterNet is ranked #15 of 65 in software composition analysis software on Specifiction. It runs on Linux, macOS, Windows. There is a free plan.

DeepFilterNet plans and pricing

All plans
DeepFilterNet Free Free and open source · MIT or Apache-2.0 license github.com · 4 Oct 2026

Compared on software composition analysis software

Processing mode
bothgithub.com
Input types
audiogithub.com
Supported platforms
multiplegithub.com

Facts

Purpose
DeepFilterNet is a low-complexity speech enhancement framework for full-band 48 kHz audio using deep filtering.github.com · 4 Oct 2026
Noise suppression
The command-line tool suppresses noise in WAV audio files, and currently supports only 48 kHz sampling rate.github.com · 4 Oct 2026
Real-time plugin
The project includes a LADSPA plugin for real-time noise suppression.github.com · 4 Oct 2026
PipeWire integration
The LADSPA plugin can be used with PipeWire filter chains to create a virtual microphone or audio output that suppresses noise, including for VoIP apps such as Zoom or Discord.github.com · 4 Oct 2026
Latency
The LADSPA plugin has a minimum latency of 20 ms from STFT processing, plus latency from the LADSPA host.github.com · 4 Oct 2026
Framework platforms
The framework supports Linux, macOS, and Windows; training is only tested under Linux.github.com · 4 Oct 2026
Python installation
The Python package installs with pip as deepfilternet, and an optional train extra adds data-loading functionality for training on Linux.github.com · 4 Oct 2026
Models and processing
The Rust command-line tool defaults to DeepFilterNet2, while the Python interface also documents use of DeepFilterNet and DeepFilterNet2 models.github.com · 4 Oct 2026
Post-filter
An optional post-filter slightly over-attenuates very noisy sections.github.com · 4 Oct 2026
Training
Training expects datasets in HDF5 format, with a dataset configuration file for train, validation, and test sets.github.com · 4 Oct 2026
Distribution
The project provides precompiled binaries through its GitHub releases and a Python wheel through PyPI.github.com · 4 Oct 2026
License
The repository code is free and open source under either the MIT License or Apache License 2.0, at the user's option.github.com · 4 Oct 2026
Security
The repository page shows a Security and quality tab but provides no security or compliance claims in the project information read.github.com · 4 Oct 2026

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