OpenAI Jukebox
Neural net that generates music with singing in the raw audio domain.
OpenAI Jukebox is a neural network model that generates music with singing directly in the raw audio domain, capable of producing novel compositions across various genres and artists. It can create coherent musical pieces up to several minutes long by learning patterns from a large dataset of songs.
- from
- Custom
- free tier
- no
- status
- verified
- category
- AI Music
Agent panel — independent scores
Innovative raw audio generation with genuine singing capability, but limited by computational demands, inconsistent quality control, and lack of commercial viability compared to modern alternatives like MusicLM or Suno.
OpenAI Jukebox demonstrates impressive capabilities in generating music with vocals but still faces limitations in coherence and genre versatility compared to leading music generation tools.
Though historically significant for pioneering raw audio music generation with singing, its output quality and coherence are significantly outclassed by modern AI music tools, rendering its practical usefulness very low today.
Groundbreaking 2020 raw-audio vocal model but now outdated, slow, and low-fidelity versus current leaders like Suno or Udio.
Strengths
- ✓First major model to generate singing in raw audio
- ✓Versatile across many musical genres and styles
- ✓Produces surprisingly coherent longer sequences
Trade-offs
- —Audio quality varies; can sound robotic or distorted
- —Computationally expensive to run and train
- —Limited commercial release; discontinued by OpenAI
Features
- Generates raw audio music with singing vocals
- Supports multiple genres and artist styles
- Creates extended compositions (minutes-long)
- Learns from diverse musical training data
- Fine-tunable for specific musical directions
- Produces novel combinations of learned patterns
Try OpenAI Jukebox
Custom · no free tier
Facts last verified 6/29/2026.
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