Yet Another Audio Splitter

This is Yaas 0.11.5, a tool to split video soundtracks into separate tracks using OpenUnmix.

Full documentation: https://kleag.github.io/yaas/

Installation

Using the installer

If you are under Windows and don't know how to use uv and pip (see below), you can use the latest yaas_installer.exe in https://github.com/kleag/yaas/releases

You must also install ffmpeg. It seems that the simplest way to do so under Windows is with winget (winget is installed by default on Windows 11, and can be installed using the Windows Store on previous versions).

To install ffmpeg with winget, start PowerShell, and then run:

winget install ffmpeg

Using uv

Create and activate a virtual environment. For information on uv, see https://docs.astral.sh/uv/getting-started/.

Then install yaas in your environment:

uv pip install yaas

If you are under Windows, you will have to ensure to have a working python installation and to have ffmpeg installed.

Usage

Starting the application

When installed with the Windows installer

Search yaas in your installed applications and start it.

When installed with uv

Activate your virtual environment and then just run:

yaas

Using Yaas

Search the video from which you want to extract the sound tracks using the integrated browser, click the Start button, wait (it can be long), and then use the generated audio files. Those are put by default in $HOME/yaas_tracks; change the destination folder any time from the ☰ menu's Settings... entry, or override it for a single run with the --out option.

If you want to interrupt an extraction, just click the Stop button that replaces the Start button during work.

Note that you must respect the copyright of the authors. E.g., If they don't authorize sharing, you must keep your private copy for you.

Backend Options

Yaas supports multiple track separation backends:

OpenUnmix (default): Uses the OpenUnmix model for track separation
Audio Separator: Uses the audio-separator library with ht-demucs model

To use the audio-separator backend, install it first:

pip install "audio_separator[cpu]"

Then run Yaas with:

yaas --backend audio_separator

Building and distributing

git commit
bumpver update --patch
uv build
uv publish

Under Windows

pyinstaller .\yaas.spec
 & 'C:\Program Files (x86)\Inno Setup 6\ISCC.exe' .\inno_setup_script.iss

Author

Gaël de Chalendar, aka Kleag (c) Gaël de Chalendar, 2024-2026

This program is free software, licensed under the Mozilla Public License 2.0 (MPL 2.0) license (see the LICENSE file). It includes most of the youtube-to-mp3 project (https://github.com/cedricouellet/youtube-to-mp3), itself under the MPL license.

Metadata

Release files for yaas 0.11.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for yaas 0.11.5
File	Size	Uploaded
yaas-0.11.5.tar.gz	156.8 kB	Sep 23, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for yaas 0.11.5
File	Interpreter	ABI	Platform	Reset
yaas-0.11.5-py3-none-any.whl 163.8 kB Sep 23, 2026	Python 3	none	any	Details

Total release size: 320.6 kB

Release files / yaas-0.11.5.tar.gz

Download URL	yaas-0.11.5.tar.gz
Size	156.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`057831050c6d22ce1c682627ba35eb38b1c208ca11c26c067d656b652b9db73b`
BLAKE2b-256 checksum How to use checksums	`0db51e43b20ad1fcf65126ac59ec2adcaae319b1d8a1da903f70aec479d09f6c`
Upload date	Sep 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/kleag/yaas
Publishing commit: github.com/kleag/yaas/tree/7879900d808f18fd33d5ca0870e2c616dbf89ca6

Workflow

Publishing configuration: github.com/kleag/yaas/blob/7879900d808f18fd33d5ca0870e2c616dbf89ca6/.github/workflows/publish.yml
Publishing logs: github.com/kleag/yaas/actions/runs/35903322003/attempts/1

Artifact

Subject: yaas-0.11.5.tar.gz
SHA-256 checksum: 057831050c6d22ce1c682627ba35eb38b1c208ca11c26c067d656b652b9db73b Verifying attestations

Release files / yaas-0.11.5-py3-none-any.whl

Download URL	yaas-0.11.5-py3-none-any.whl
Size	163.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`32d4c9b872f3a6f33cd216e8af5427437a693af6dea9a2265286886fa8b2930e`
BLAKE2b-256 checksum How to use checksums	`23594de53d4e3b47a14f31fa5219cd7b85e86a5e91a8a1c86e662a84e1d47544`
Upload date	Sep 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/kleag/yaas
Publishing commit: github.com/kleag/yaas/tree/7879900d808f18fd33d5ca0870e2c616dbf89ca6

Workflow

Publishing configuration: github.com/kleag/yaas/blob/7879900d808f18fd33d5ca0870e2c616dbf89ca6/.github/workflows/publish.yml
Publishing logs: github.com/kleag/yaas/actions/runs/35903322003/attempts/1

Artifact

Subject: yaas-0.11.5-py3-none-any.whl
SHA-256 checksum: 32d4c9b872f3a6f33cd216e8af5427437a693af6dea9a2265286886fa8b2930e Verifying attestations