Hiring a composer for a short-form video, podcast intro, or game scene can cost hundreds of dollars and two weeks of back-and-forth revisions.
Music production has a licensing and lead-time problem
Sourcing original background music means either paying licensing fees for stock tracks or waiting on a human composer who may miss the brief entirely. Both options burn time and budget that most content and product teams simply do not have.
A neural net trained on MIDI files is now writing the music
MuseNet lets you select a musical style, a starting prompt, and a set of instruments, then generates a complete multi-instrument composition you can download as a MIDI file. Inputs are style parameters and optional seed clips; the output is a structured 4-minute composition spanning up to 10 instruments. The model was trained on hundreds of thousands of MIDI files and learned harmony, rhythm, and style entirely through pattern prediction, the same approach behind GPT-2.
Creators and developers are the first to feel this shift
- Indie game developers who need royalty-free original scores without a composer budget
- Video producers who spend hours searching stock libraries for a track that fits a specific mood
- Music educators who want students to analyze how style transfer works across genres in real time
The use case list is wider than it first appears, and the technical barrier is close to zero.
The stock music industry is watching a structural threat arrive
The global stock music market was valued at over $1 billion in 2023, and tools like MuseNet threaten to pull budget away from platforms like Epidemic Sound and Artlist by generating original tracks at no per-license cost. If transformer models keep improving at audio generation, the argument for paying per track gets harder to make each quarter.
What you can do with it
- Generate a country, classical, or Beatles-style composition in under a minute
- Combine two contrasting styles into a single original track
- Export MIDI files for further editing in a DAW like Logic or Ableton
- Prompt with a musical seed to guide the composition direction
MuseNet is a research tool released by OpenAI — pricing not listed, check our directory.
The model is impressive but not a production studio
Output quality varies significantly across styles, and MIDI exports require post-processing to reach broadcast-ready audio quality without a digital audio workstation and some technical skill.
If you want generated audio without MIDI editing, Suno and Udio produce finished audio files directly from text prompts. MuseNet is the better choice when you need MIDI-level control over instrumentation and want to build on the output inside a DAW.
AI-generated music is moving from novelty to production pipeline
Tools like MuseNet are shifting from research demos to real workflow components for developers and creators who cannot afford original composition at scale. We cover tools like this every Friday — subscribe here and we’ll send the best ones straight to you.