Headphones
Self-HostedAutomated music library management and download tool
Overview
Headphones is an open-source tool for automating music discovery, downloading, and library organization. It monitors favorite artists for new releases, fetches metadata (album art, lyrics, tracklists), and integrates with Usenet/torrent clients to acquire content. The tool structures files into a consistent library and supports deployment via Docker (simplest method), manual setup on Windows/macOS/Linux, or NAS devices like Synology. It offers configurable settings for download quality and indexer preferences.
Self-Hosting Resources
Below is a reference structure for docker-compose.yml.
⚠️ Do NOT run blindly. Replace placeholders with official values.
version: '3'
services:
headphones:
image: <OFFICIAL_IMAGE_NAME>:latest
container_name: headphones
ports:
- "8080:<APP_INTERNAL_PORT>"
volumes:
- ./data:/app/data
restart: unless-stopped Key Features
- Automated monitoring for new music releases from favorite artists
- Metadata enrichment (album art, lyrics, track information)
- Integration with Usenet and torrent download clients
Frequently Asked Questions
? Is Headphones hard to install?
Headphones is easy to install via Docker (pre-built images available), but manual setup requires configuring Python and web servers. Most users prefer Docker for a hassle-free deployment experience.
? Is it a good alternative to MediaMonkey?
Yes—Headphones specializes in automated music discovery and downloading, which MediaMonkey lacks. While MediaMonkey focuses on playback and library editing, Headphones complements it by sourcing new music automatically.
? Is Headphones completely free?
Headphones is 100% free and open-source (MIT License). There are no hidden costs or paid features—all functionality is available to all users without payment.
Top Alternatives
People Also Ask about Headphones
Tool Info
Pros
- ⊕ Self-hosted for full control over music data privacy
- ⊕ No subscription fees or premium tiers
- ⊕ Customizable library organization rules
Cons
- ⊖ Requires basic technical knowledge for setup (Docker recommended)
- ⊖ Limited to music (no video or podcast support)
- ⊖ Depends on external indexers for content discovery