AI music generation split into two genuinely different products, and mixing them up is the most common mistake people make when they go looking for one. There are full-song generators โ you type a genre, mood, and maybe some lyrics, and you get a complete song with vocals, structure, and a mix. And there are background/scoring tools built to generate royalty-free instrumental music that fits underneath video, podcasts, or games without competing for attention. Suno and Udio are the two names that dominate the first category. Beatoven is built specifically for the second. This piece covers what each is actually for, what the output sounds like in practice, and the licensing questions you need to think through before you use any of this commercially.
Full-song generation: Suno and Udio
Suno and Udio both let you generate a complete song โ vocals, instrumentation, structure โ from a text prompt describing genre, mood, and topic, and both let you supply your own lyrics if you want more control over what's actually being sung. The output quality has improved dramatically since these tools launched; a well-crafted prompt on either platform can produce something that sounds like a real, mixed, mastered track rather than a novelty demo. That said, the "wow" reaction to a first listen tends to fade once you use these tools regularly โ song structures can feel formulaic, lyrics generated by the tool itself often lean generic, and the vocal performances, while technically impressive, can sound a little too smooth in a way that's hard to describe but easy to notice after a few tracks.
Suno has generally been seen as slightly ahead on ease of use and speed of iteration โ it's fast to generate variations and remix existing generations, which matters if you're treating this as a creative brainstorming tool rather than trying to get a finished product on the first try. Udio has drawn praise for audio fidelity and has leaned into giving users more granular control over structure and instrumentation for people willing to spend more time crafting a prompt. Neither is objectively "better" across the board; they trade blows depending on genre and how much iteration you're willing to do. If you're choosing between them, a Suno vs. Udio comparison is worth reading, but honestly the fastest way to decide is to generate the same prompt on both and listen โ the difference in taste matters more than any feature checklist.
The real question with both tools isn't "does this sound good" โ it increasingly does โ it's "what am I actually going to do with the output." If you're a hobbyist making a song for fun, a creator who wants a stinger for a YouTube intro, or someone prototyping a concept to hand to a real producer or vocalist, these tools are genuinely useful. If you're trying to replace session musicians or a composer on a project with real commercial stakes, you'll run into the same issues every generative tool has: lack of fine control, inconsistent quality across generations, and the licensing questions covered below.
Background and scoring music: Beatoven
Beatoven solves a narrower, more practical problem: generating instrumental background music that fits the mood and length of a specific piece of content โ a video, a podcast segment, a game level โ without vocals competing with narration or dialogue. This is a much more constrained and, frankly, more reliably solvable problem than "write me a song," and Beatoven's output reflects that: it's less flashy than a Suno or Udio track, but it's also more fit-for-purpose, because it's designed from the start to sit underneath other audio rather than stand alone.
If you're a podcaster or video creator who has been using generic royalty-free music libraries and getting tired of hearing the same stock tracks everywhere (or getting nervous about licensing terms on tracks you didn't verify closely), Beatoven's approach of generating a track to your specific length and mood, with some control over instrumentation and energy curve, is a meaningfully different and often more useful workflow than either digging through a stock library or trying to wrangle Suno into producing something instrumental-only. It's worth reading a Beatoven vs. Suno comparison if you're unsure which category actually fits your project โ the short version is that Beatoven wins if you need functional background music and Suno or Udio win if you want an actual song people listen to on its own.
If your content workflow spans video and audio together โ say you're scoring a video you generated or edited elsewhere โ it's worth pairing this with our guide to AI video generation tools, since music, narration, and visuals increasingly get produced by different specialized AI tools rather than one all-in-one platform.
The licensing question nobody wants to think about
This is the part of AI music generation that gets glossed over in most roundups, and it shouldn't be. The training data question โ what these models were trained on, and whether that raises copyright issues โ is genuinely unresolved and the subject of active legal disputes involving major music industry players. That's not a reason to avoid these tools, but it is a reason to actually read the commercial usage terms of whichever platform you use rather than assuming a paid subscription automatically means you're in the clear for every use case. Terms differ meaningfully between platforms and between subscription tiers on the same platform โ some restrict commercial use to paid tiers only, some have caps on monetized use, some require attribution. If you're putting AI-generated music behind a monetized YouTube video, in an ad, or in a commercial product, read the actual license terms for your specific plan rather than the marketing copy, and keep records of what you generated and when.
The practical risk profile is different between Suno/Udio and Beatoven, too. A full song with AI-generated vocals in a style that resembles a specific artist carries more reputational and legal risk than an instrumental background track, simply because "sounds like a specific singer" is a much easier claim to make than "sounds like a specific instrumental mood." If you're risk-averse, background/scoring tools are the safer commercial bet today.
Using AI music alongside other content workflows
Musicians and hobbyist producers are only one part of who actually uses these tools day to day. A big share of real usage is creators who need music as a supporting element in something else: a YouTube intro, a TikTok backing track, a game jam prototype, an indie app's menu music, a podcast's episode transition. In that context, the "is this as good as a human composer" question is less relevant than "does this get me a usable track faster and cheaper than my alternatives," and for a huge amount of low-stakes content, the answer is clearly yes. It's a different calculation for anyone selling music as the product itself, where originality, ownership, and the ability to iterate with a client over creative direction still favor a human collaborator over a prompt box.
Suno and Udio's speed also makes them decent brainstorming tools even for people who plan to have a real musician execute the final version โ generating ten quick variations on a mood or genre to find a direction is faster than sitting with a blank page, even if none of the ten generations end up in the final product. That workflow (generate for inspiration, don't ship the raw output) sidesteps a lot of the licensing anxiety discussed above, since you're not distributing the AI-generated audio itself.
Pricing considerations
Suno and Udio both offer free tiers that are genuinely useful for experimentation but limited in generation count and sometimes in commercial usage rights โ the free tier is often personal-use only, with commercial rights unlocked at a paid tier. Paid plans are priced on generation credits per month, and heavy users (people iterating a lot to get one usable track) will burn through a mid-tier plan faster than they expect. Beatoven prices more like a stock music subscription, often per-track download or a monthly plan for a certain number of finished tracks, which is a more predictable cost model if you have a regular content cadence like a weekly podcast or video series.
What to look for before you buy
If you want full songs, prompt quality matters enormously โ vague prompts get generic results, and specific prompts (referencing tempo, instrumentation, structure, vocal style) get meaningfully better ones, so budget time to learn how to prompt well rather than judging a tool off your first three tries. If you want background music, check how much control you have over track length matching your content and whether you can regenerate variations of a track you like without starting from scratch, since matching music to edited video length is a real practical need. And regardless of which tool you use, download and archive anything you plan to use commercially โ generation history and access aren't guaranteed to be permanent on every platform.
Our take
Suno and Udio are genuinely fun and increasingly capable, and worth using if you want an actual song โ for fun, for a creative project, or as a sketch to hand to a real musician. Between the two, it comes down to taste more than a clear winner. But if your actual need is functional background music for content you're already producing, Beatoven is the more sensible tool because it's solving your actual problem instead of a more impressive-sounding adjacent one. Check licensing terms before any commercial use, regardless of which you pick.
