The Best AI Tools to Create Music (And What to Do With the Output)

AI music generation went from a novelty to something people actually ship in about two years. You can now describe a track in a sentence and get back a finished song with vocals, and it will be good enough for a video soundtrack, a podcast bed, or a rough demo. What has not kept up is the advice around it: most roundups list ten tools, quote a price, and never mention the two things that decide whether you can use the result at all.

This covers the tools worth knowing, how to choose between them for a specific job, the rights question, and what you still have to do to a generated file before it is usable.

Three different kinds of tool

Grouping these correctly saves a lot of wasted trial time, because a tool built for one of these jobs is usually poor at the others.

• Song generators. You give a text prompt or lyrics and get a complete track with sung vocals, structure and production. Best when you want a finished song fast.
• Instrumental and stock generators. Built for background music, loops and beds, typically without vocals, and usually with clearer commercial licensing. Best for video, podcasts and anything where the music sits under a voice.
• Assistive and composer tools. You keep control of structure, key, tempo and arrangement, and the model fills in the rest. Slower, but far better when the music has to fit something you already have.

The tools worth knowing

Suno

The default choice, and by a wide margin the most used. It writes lyrics, sings them, and produces a mixed track from a short prompt, which is why it accounts for the overwhelming majority of AI music that actually gets released commercially. The free tier is generous enough to judge properly before paying. Vocal quality and coherence over a full song length are its main strengths; the weakness is that it makes strong stylistic choices you cannot always talk it out of.

Udio

The closest direct competitor, and generally rated at or above Suno on raw audio fidelity. It tends to reward more specific prompting and gives you more useful control over extending and reworking a section rather than regenerating the whole thing. If Suno keeps giving you a sound you do not want, this is the first alternative to try.

ElevenLabs Music

The option to reach for when the track is going into client work. It was built around licensed training material, which makes the commercial position considerably clearer than the consumer tools. If you are an agency, or you are putting music into something you will be paid for, licensing clarity is worth more than a marginally better chorus.

Stable Audio

Strongest for instrumental, stock-style material: beds, loops, atmospheres, and the kind of track that needs to sit politely underneath narration. Licensing is comparatively clean, and because there are no vocals to go wrong, results are more predictable. Not the tool for a song with a hook.

Riffusion

Specialised in loops and variations rather than complete songs. Useful when you need eight bars that repeat convincingly, or several takes on the same idea to choose between.

AIVA

Aimed at composer workflows, with real control over key, tempo, instrumentation and structure. Slower than prompting, but the right shape of tool when the music must hit specific timings in a video.

How to choose

• You want a complete song with vocals: start with Suno, try Udio if the style is wrong.
• You need background music under a voiceover: Stable Audio, or ElevenLabs Music if it is client work.
• The music must hit specific timings: AIVA, or generate long and cut to length afterwards.
• You need a repeating loop: Riffusion.
• Commercial use with the least legal ambiguity: ElevenLabs Music or Stable Audio.
• You are just experimenting: whichever has the most usable free tier today, which in practice is usually Suno.

The licensing question most guides skip

This is the part that actually matters, and it has two separate halves that people constantly conflate.

The first is what your plan permits. On most of these platforms the free tier does not grant commercial rights: you can generate and listen, but monetising the result requires a paid plan. People discover this after uploading to a monetised channel. Read the terms for your specific tier rather than assuming, because the rules differ between platforms and change between plans.

The second is what the model was trained on. The consumer song generators were the subject of major label litigation, and by late 2025 both Suno and Udio had reached settlements with the major labels, which stabilised their position considerably. Tools trained on licensed or owned catalogues, such as ElevenLabs Music and Stable Audio, carry less of this uncertainty by design.

Also check the platform requirements around disclosure and distribution. Streaming services and stock libraries have their own rules about AI-generated material, and those rules are separate from whatever your generation tool allows.

What AI music still gets wrong

Knowing the failure patterns saves you from regenerating twenty times hoping for a different outcome.

• Endings. Generated tracks frequently stop rather than finish, or fade awkwardly. This is the single most common thing you will fix by hand.
• Length. You will rarely get exactly the duration you need, so plan to cut.
• Lyric pronunciation. Unusual words, names and acronyms come out mangled. Rewriting the lyric phonetically often works better than regenerating.
• Sameness. Prompt in the same way and you get recognisably similar output. Being much more specific about instrumentation and era helps more than adding adjectives.
• Loudness. Output levels vary a lot between generations, which is obvious the moment you place two tracks back to back.
• Stems. Not every tool gives you separated parts, and where it does not, you cannot cleanly isolate elements afterwards.

Finishing the track

A generated file is a starting point, not a deliverable. Four jobs come up almost every time, and none of them need a full audio editor.

Cut it to length and give it a real ending. Trim to the section you want and apply a fade out, which solves the abrupt-stop problem in about ten seconds. Two to four seconds suits most music; longer if the track dissolves rather than lands.

Match the levels. If you generated several tracks for one project they will not be at the same loudness. Set them by ear against each other rather than trusting the exports, and drop a music bed well below the level of any narration it sits under.

Get the format right for where it is going. Many platforms want MP3, and some want WAV. If the track is going into further editing, keep a WAV copy and only encode to MP3 at the very end, because re-encoding a lossy file repeatedly is what makes AI music sound thin and brittle.

If you need an instrumental version and your tool does not export stems, vocal removal by phase cancellation is worth trying, though be realistic about it. It works by subtracting one stereo channel from the other, so it only removes what sits dead centre, and it takes centred bass and drums with the vocal. On some generated tracks the result is genuinely usable; on others it is not, and no setting changes that. Regenerating with an instrumental prompt is usually the better answer.

The short version

• Suno for complete songs with vocals, Udio when its style does not suit you.
• Stable Audio for instrumental beds, ElevenLabs Music when licensing has to be defensible.
• AIVA when the music must fit timings you already have.
• Free tiers usually exclude commercial use. Check your own plan's terms.
• Expect to fix the ending, the length and the loudness on every track.
• Keep a WAV master and encode to MP3 once, at the end.