Text-to-music synthesis: Natural language processing to interpret musical intent from descriptions Multi-genre support: Trained on diverse musical styles (pop, rock, jazz, classical, electronic, hip-hop, etc.) Parametric control: Fine-grained control over tempo, key, mood, and musical structure Fast generation: Complete tracks in 20-30 seconds High-quality output: Export in 320kbps MP3 or lossless WAV
The workflow:
Describe your music in plain text (e.g., "upbeat electronic track with synth arpeggios, 128 BPM, energetic mood") Optionally customize style parameters Generate in ~30 seconds Download royalty-free tracks
Current scale:
10,000+ active users 500K+ tracks generated Used by content creators, game developers, podcast producers, and indie filmmakers
We're interested in feedback from the HN community, especially on the technical approach and potential use cases we haven't considered. All generated music is royalty-free with commercial licensing included. Try it at: https://musci.io Happy to answer technical questions about the architecture, training approach, or implementation details.
EDIT: here my first attempts:
- http://rochus-keller.ch/Diverses/musci.io_My_first_attempt_0...
- http://rochus-keller.ch/Diverses/musci.io_My_first_attempt_0...
And for comparison a couple of songs created with Suno with the same kind of prompt (but with audio upload): https://rochus-keller.ch/?p=1428