Skip to main content

MVSEP GUI

English | 中文

A modern and beautiful GUI for MVSEP music separation API.

Features

  • Modern UI Design - Beautiful interface with multiple theme support
  • Theme Support - Pure Black, Bright White, Light Purple themes
  • Multi-language - English and Chinese (中文) support
  • Algorithm Search - Fuzzy search through algorithms
  • Drag & Drop - Drag audio files directly into the app
  • Real-time Progress - Live status log and progress indicator
  • Multiple Output Formats - MP3, WAV, FLAC, M4A
  • Configurable Output Directory - Choose where to save results
  • Auto Token Saving - API token saved automatically

Themes

Theme Description
Pure Black Dark theme with blue accent
Bright White Light clean theme
Light Purple Otaku-style purple theme

Requirements

  • Python 3.8+
  • PyQt6
  • mvsep-cli

Installation

From PyPI (Recommended)

pip install mvsep-gui

From Source

# Clone repository
git clone https://github.com/mvsep/mvsep-gui.git
cd mvsep-gui

# Install dependencies
pip install -r requirements.txt

# Install
pip install -e .

Usage

mvsep-gui

Or run directly:

python -m mvsep-gui

Command Line Options

python -m mvsep_gui --debug    # Enable debug mode

Environment Variables

MVSEP_DEBUG=1 python -m mvsep_gui  # Enable debug mode

Getting Started

  1. Enter your MVSEP API token and click "Save"
  2. Drag & drop an audio file or click to browse
  3. Select an algorithm (use search button to filter)
  4. Configure options and output format
  5. Click "Start Separation"

Changing Language

  1. Click the settings button (⚙) in the header
  2. Select your preferred language
  3. Click "Apply"

Changing Theme

  1. Click the settings button (⚙) in the header
  2. Select your preferred theme
  3. Click "Apply"

Getting API Token

Get your free API token from https://mvsep.com/user-api

License

Apache License 2.0

Metadata

Release files for mvsep-gui 1.0.0

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

Source distribution (sdist)

Source distribution for mvsep-gui 1.0.0
File Size Uploaded Provenance
mvsep_gui-1.0.0.tar.gz 21.6 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for mvsep-gui 1.0.0
File Interpreter ABI Platform
mvsep_gui-1.0.0-py3-none-any.whl Python 3 none any Details

Total release size: 42.6 kB

Release files / mvsep_gui-1.0.0.tar.gz

Download URL mvsep_gui-1.0.0.tar.gz
Size 21.6 kB
Tags Source
SHA-256 checksum
How to use checksums
f6750ab2cd53d1a8848a007035ad2586578e810fd6496b73210fe2864d468894
BLAKE2b-256 checksum
How to use checksums
97e47ef16d490a88014ccf9a22f1428f1d181915954453e1a30f480e4c02f5b1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.13.9

Release files / mvsep_gui-1.0.0-py3-none-any.whl

Download URL mvsep_gui-1.0.0-py3-none-any.whl
Size 21.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
c7e3ce489a09b8de7abfc4a300d3abae4bc58d9d40ecd405779d0de0949d06d4
BLAKE2b-256 checksum
How to use checksums
e224bc185a20790aad38a6417dea0ff16c9a41432918457fb2fa9d48a0dc5d6e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.13.9

Security for mvsep-gui 1.0.0

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.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

1.0.0 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page