AI-powered semantic search; describe what you want to hear and Familiar builds a playlist from your own music library.
Familiar is a self-hosted music player that understands the sound of your music, not just its metadata. Ask for "something that sounds like rain on a window" and it actually works.
Point Familiar at your own home server (macOS Docker, Linux, Synology, OpenMediaVault — whatever you run). Nothing leaves your network. No cloud accounts, no subscriptions, no tracking.
• AI chat and playlist creation — Powered by the Claude API using your own key. Describe a mood, a setting, a vibe; Familiar pulls from your library.
• Semantic audio search — CLAP embeddings let you match by how music sounds, not just artist or genre.
• Deep feature analysis — BPM, key, energy, brightness, danceability, valence, instrumentalness, and more, extracted on your server.
• Ambient mode — continuous drone plus ghostly snippets from your library, tuned to the current key.
• Community analysis cache — opt in to share anonymized audio fingerprints so others skip hours of analysis, and benefit from theirs.
• Smart playlists — rules-based playlists that update automatically as your library changes.
• Offline playback, lock-screen controls, synced lyrics (LRCLIB), Last.fm scrobbling.
• Works with FLAC, ALAC, MP3, AAC, Ogg, Opus.
Familiar is open-source (MIT) and requires you to run your own backend. Setup guides for Docker, macOS, and common NAS platforms are on GitHub.
Chrome-Stats does not own this Apple app. Please use these information below to contact the Apple app developer.