Udio: Generate music in your favorite styles with a text prompt

Original Article ↗ Hacker News Discussion ↗

Link, access, and onboarding

  • Several dislike that the HN submission and launch were via Twitter, preferring a direct link to the site.
  • Many are frustrated that signup requires Google, Discord, or X; several explicitly request plain email registration.
  • Some speculate this is for spam/abuse prevention and cheaper “real user” verification than phone numbers.

Quality, capabilities, and comparisons

  • Many describe the output as strikingly good, often “better than Suno v3,” especially in sound quality and vocal expressiveness.
  • Example styles include gospel, barbershop, opera, Broadway musical, punk, jazz, tech death metal, comedy songs, and children’s songs.
  • Long-form structure (e.g., solo classical piano) is still seen as weak: pieces can wander without coherent themes.

UX, features, and performance

  • 1,200 free songs/month is viewed as generous.
  • During launch, the service is heavily overloaded: very slow generations, frequent errors, and mismatched songs.
  • Requested features:
    • Upload a beat and have vocals/rap added.
    • Stem export, instrumentals-only, more mix control, better “extend” loudness normalization.
    • Better remix controls, clearer UI, favorites, separating “good” from “meh” outputs.
    • API access and a “reverse prompt” / interrogation feature.
  • Some praise the interface; others find tags warped and prompt box too small.

Training data, legality, and watermarking

  • Multiple commenters ask what music was used for training and whether it was licensed.
  • One reports obviously mimicked voices of famous singers (including a living artist) in another language and questions permissions.
  • Concerns are raised about TOS clauses like mandatory arbitration and class-action waiver.
  • Some want mandatory watermarking of AI-generated music; others question the need.

Impact on musicians and creative work

  • Strong anxiety and anger from composers and media musicians who fear displacement and devaluation of human music, especially for cheaper, “good enough” commercial work.
  • Others argue AI will mainly hit low-end, stock/utility music, likening it to past tech shifts (sampling, digital tools) that lowered entry barriers but didn’t kill high-end art.
  • One view: listeners mostly care whether music sounds good, not how it was made; another stresses that flooding markets with competent but uninspired AI work could bury genuinely original art.

Text-to-music UX and future tools

  • Debate over whether text prompts are a good long-term UX or mostly a novelty/tech demo.
  • Critics say the process feels one-shot and non-collaborative; they want musician-centric, iterative interfaces.
  • Others envision future tools where users hum/tap a beat, then get orchestrated arrangements with more fine-grained control.

Miscellaneous

  • Some regions (e.g., Australia) report the service blocked.
  • A few note the pace of AI audio progress, citing Suno Chirp and ex–DeepMind founders as context.