AI Music Generator
Turn an idea into a song, in the language it belongs in.
A multilingual music generation product: your idea, your lyrics, the language it was written for, and a musical direction — then a track, and versions that branch from the same brief rather than starting over.
This is a product Branditify builds and configures, not a free tool running on this page. Nothing here generates or plays audio.
Illustrative song brief · sample project
Hook · Hindi
- Raat ki sadkon pe
- Sirf hum aur ye gaana
- Kahin nahi jaana
- Bas yahin reh jaana
On the roads at night — just us and this song. Nowhere to go. Let’s just stay here.
HindiorPunjabi
Not a translation. The syllable count changes, so the melody has to breathe differently, and the phrasing that felt natural in one language will not sit on the same beat in another.
The line above is written in Hindi. The same idea in Punjabi is a different line, not the same line in different words.
Your ownorWritten from a brief
Bringing your own words fixes the meter and the rhyme, which constrains the melody — usually for the better. Starting from a brief gives the model room and gives you less control over the result.
Both are ordinary ways to work. Which one you use changes how much of the song is yours before generation starts.
ReflectiveorEuphoric
Tempo, the space between phrases, and how the vocal sits against the instruments. The same four lines can be a late drive home or the middle of a night out.
The most useful single control, and the one most worth changing before anything else.
Indie poporAcoustic
Instrumentation and arrangement — what plays, how densely, and how produced it sounds.
Described as a genre and a reference feel. Never as a named artist to imitate, which is a line this product does not cross.
A written brief, not a generated track. Nothing on this page plays, because nothing has been generated.
Language: Not a translation. The syllable count changes, so the melody has to breathe differently, and the phrasing that felt natural in one language will not sit on the same beat in another.What it is for
Not one thing called “a song”.
The output format changes what the brief has to say, and it is the first decision worth making — a thirty-second bed and a full track are different jobs.
- 01A songLyrics, vocal, arrangement. The full thing, and the hardest to get right.
- 02An instrumentalNo vocal. Usually the fastest route to something usable under a film or a product.
- 03A background bedWritten to sit under speech rather than to be listened to.
- 04A short-form cueFifteen to thirty seconds, written to land in that time rather than trimmed to it.
- 05A demo of an ideaA sketch to play to somebody, before anyone commits a budget to recording it.
- What is an AI music generator?
- A system that produces original music from a written instruction — a description, a set of lyrics, or both — using a model trained to generate audio. You supply the creative direction and the words; the model produces a track. What separates one from another in practice is how much control the interface gives you over the direction, and what the licence lets you do with the result.
- How does AI music generation work?
- A generation model turns a text instruction into audio in a single pass rather than assembling loops or samples. It has learned associations between descriptions, lyrics and musical patterns, so the instruction you give it — language, mood, genre, structure — is the whole of your control. Different models produce different results from the same instruction, which is why the model is a product decision rather than a detail.
The signature
Four decisions, and the song is most of the way made.
Everything a generation model can do with your idea comes from what you tell it. This is what each decision actually changes — described, because there is no track here to play.
- 01LanguageHindiorPunjabiNot a translation. The syllable count changes, so the melody has to breathe differently, and the phrasing that felt natural in one language will not sit on the same beat in another.
- 02LyricsYour ownorWritten from a briefBringing your own words fixes the meter and the rhyme, which constrains the melody — usually for the better. Starting from a brief gives the model room and gives you less control over the result.
- 03MoodReflectiveorEuphoricTempo, the space between phrases, and how the vocal sits against the instruments. The same four lines can be a late drive home or the middle of a night out.
- 04Musical directionIndie poporAcousticInstrumentation and arrangement — what plays, how densely, and how produced it sounds.
None of this is a knob for the sake of looking musical. Change the language and the melody has to change; change the mood and the arrangement does. That is why the brief is the product, and the generate button is the least interesting part of it.
- Can I use my own lyrics?
- Yes, and it is usually the better way to work. Your own words fix the meter and the rhyme before generation starts, which constrains the melody in a useful way and means more of the finished thing is genuinely yours. Writing from a brief instead gives the model more room and you less control over what comes back.
From words to a track
What a model does with a line, and what it does not.
Worth understanding before you judge a result, because most disappointing output is a brief problem rather than a model problem.
What the instruction controls
- The language the vocal is sung in
- The mood, and the tempo that follows from it
- The genre and the instrumentation it implies
- The structure, where the model supports one
- Whether there is a vocal at all
What it will not do reliably
- Hit an exact word on an exact beat
- Reproduce a melody you have in your head
- Pronounce every word correctly in every language
- Return the identical track twice from the same instruction
- Match a specific named artist, which this product does not attempt
The last one is a choice rather than a limitation. Direction is given as a genre and a feel — indie pop, acoustic, folk-inspired, cinematic — never as a named artist to copy.
- Can AI turn lyrics into a song?
- Yes — supplying your own lyrics along with a language and a musical direction is the standard way these systems are used, and it produces a more predictable result than a description alone. What you should expect is a performance of your words rather than an exact realisation of a melody you already imagined; the model chooses the tune, and you steer it by regenerating with a changed direction.
The part that is usually done badly
A translated line is not the same song.
This is where most multilingual music goes wrong, and it goes wrong before any model is involved.
Come back home.
- EnglishCome back homeThree syllables, a natural falling cadence. Sits on a slow beat without effort.
- HindiGhar laut aaAlso three, but the stress lands differently, so the phrase wants a different rhythm underneath it.
- PunjabiGhar mud aaShorter and more direct. In Punjabi this idea is usually sung with more force than in the English line.
What the language actually changes
- The syllable count, which the melody has to accommodate
- Where the stress falls, which decides the rhythm
- Pronunciation, which depends on the model and is the commonest weakness
- What the phrase idiomatically means, which a literal translation loses
- How the line is conventionally sung in that language
Which languages a build supports, and how well each is pronounced, follows entirely from the generation model configured for it. That is established when the model is selected — no language list is published here, because none has been verified.
- Can AI create music in Hindi, Punjabi or other Indian languages?
- Several generation models do produce vocals in Indian languages, and quality varies considerably between them and between languages within the same model. Pronunciation is usually the weak point rather than the music. On a Branditify build the languages a product supports are established by testing the shortlisted models against your actual lyrics before one is chosen, rather than taken from a provider’s feature list.
The question the category does not answer
A track you cannot use is not an asset.
Almost every tool in this category will make you something in a minute and say nothing useful about what you may do with it. For a business that is the only question that matters.
Creation rights
What you brought: the idea, the lyrics, the brief. Those were yours before anything was generated and remain yours.
DecidedUsage rights
What you may do with the generated audio — publish it, put it behind an ad, licence it on, claim it as a work. This depends entirely on the model or provider used and the plan it was generated under.
Model dependentNot knowable until a model is chosen
- Whether output is yours outright, and under which provider terms
- Whether commercial use is permitted on the plan in question
- Whether the term “royalty-free” applies, and to what
- What happens to those rights if the provider changes its terms
None of that can be answered before a model is chosen, so none of it is claimed here. What Branditify commits to is that the licence is established and written down before a track is presented as cleared for a commercial use — not discovered afterwards.
- Can AI-generated music be used commercially?
- Sometimes, and it depends on the model or provider and the plan the track was generated under rather than on anything general about AI music. Terms differ substantially between providers and change over time. On a Branditify build the applicable licence is established as part of selecting the model, and any track intended for commercial use is checked against it first.
- Who owns AI-generated music?
- It is genuinely unsettled and varies by jurisdiction, which is why any confident single answer should be treated carefully. Your lyrics and your brief are your own work. The status of the generated audio follows from the provider’s terms and from local law on works without a human author. This page states no ownership guarantee because none can be given honestly in the abstract.
- Is AI-generated music royalty free?
- Not automatically, and the phrase is used loosely across this category. Some providers grant broad usage on paid plans; some restrict commercial use entirely on free ones; some reserve rights over the output. Which applies is a fact about the provider you use, and it is worth reading before rather than after you build something around a track.
Two different jobs
This is not a replacement for people who make music.
It is very good at some things and genuinely not the right choice for others, and the difference is easy to state.
Generation is well suited to
- Exploring a direction before committing a budget
- Producing several versions of an idea quickly
- Background and short-form music where the track serves something else
- Demos, so a producer or a client can hear the idea
- Creators without access to a studio or session musicians
A producer or musician is the right answer when
- A specific performance is the point
- A named artist or voice belongs on the record
- The arrangement is complex and central to the work
- You need to own the master outright, under terms you set
- It has to be exactly the melody you already hear
The most common good outcome is both: generate to find the direction, then have somebody make the real thing once everyone agrees what it should be.
- AI music generation or traditional production?
- They answer different questions. Generation is fast, cheap and good at exploring — it earns its place before a decision has been made, and on work where the music supports something else. Traditional production is the right call when a specific performance matters, when the arrangement is the work, or when you need to own the master under terms you control. Using generation to find the direction and a producer to make the final record is a normal and sensible workflow.
How this would actually be built
Branditify builds the product. It does not train the model.
Worth saying plainly, because the category is vague about it and the distinction changes what you are buying.
- The experienceThe brief, the controls, the versions, the library and the export — the part Branditify designs and builds.Decided
- The generation modelAn external or hosted model that turns the instruction into audio. Selected during the project by testing candidates against your actual lyrics and languages.Open
- The orchestrationHow instructions are formed, how versions relate to each other, and what is stored — also Branditify’s work.Decided
- The licenceWhatever the chosen model permits. Established before anything is used, not assumed.Model dependent
No foundation model has been trained here and none is claimed. What is being offered is the product around a model — which is the part that decides whether the thing is usable day to day, and the part nobody else in this category is building for you.
- What determines the quality of the output?
- Three things, in this order. The brief — a vague instruction produces a generic track, and this is where most disappointment starts. The model, which varies enormously, particularly on language and vocals. And the willingness to regenerate: the first result is a draft, and the useful workflow is changing one decision and going again rather than accepting or abandoning what came back first.
Where it earns its place
The jobs where generated music is genuinely the right tool.
Each of these has a reason, and the reason is usually that the music serves something else.
- Brand and campaign filmA bed written for the cut, in the language of the market it runs in, without a library search.
- Short-form and socialVolume and variation matter more than any single track being perfect.
- Product and app experiencesSound that has to belong to one product rather than be recognisable from somewhere else.
- Event and wedding filmsA specific language and a specific feeling, on a schedule a commission cannot meet.
- Artist demosHearing an arrangement before booking a studio to record it properly.
What is deliberately absent from this list: anything where the track is the product being sold. That is a rights question before it is a creative one, and it is answered case by case rather than on a page.
What changes the size
What makes one music product bigger than another.
Not the number of tracks it can make, which is a property of the model rather than of the build.
- Languages in scopeEach one has to be tested against real lyrics, and pronunciation is where models differ most.
- Rights requirementsA product making internal drafts and one making broadcast assets are different projects, and the difference is legal before it is technical.
- Control surfaceA prompt box is small. Structure, sections and per-part control is a much larger build.
- Versions and libraryWhether projects persist, branch and can be returned to, or every generation stands alone.
- Who uses itOne team with a shared account is a different product from many users with their own work.
- Export needsPlayback only, a downloadable file, or separated parts — the last depends entirely on the model.
- What determines the scope of an AI music product?
- Mostly the languages and the rights position. Every language in scope has to be tested against real lyrics rather than taken from a feature list, and a product whose output will run in paid media needs a licence settled before anything else is designed. After that it is how much control the interface gives — a single prompt box is a small build; structure and section-level control is not.
- What we need to scope one
- The languages that matter, what the music will be used for and where it will run, and whether anyone needs to own the result outright. The last of those decides more than the other two.
Background
Selected brand & creative work.
Projects where the creative direction was the deliverable, each listed with what was delivered.
- All work Every project, with what was delivered on each
- Companies we work with Who we have built alongside
Questions
Asked before commissioning one.
- Can I generate music on this page?
- No. If you want to hear what current models sound like in your language, the honest advice is to try one of the public tools first — it costs nothing and it will tell you quickly whether the quality is where you need it. Come back when the question becomes owning the experience and the rights rather than borrowing somebody else’s.
- Did Branditify train the music model?
- No, and be wary of anyone in this category who says they did without showing you the work. Branditify builds the product around a generation model, and the model is chosen during the project.
- Which languages are supported?
- That follows from the model configured for a particular build, so no list is published here. Candidate models are tested against your actual lyrics in your actual languages before one is selected, because feature lists and real pronunciation are not the same thing.
- Can it create instrumental music?
- Generating without a vocal is supported by most models in this category and is often the easier result to use, because it sidesteps pronunciation entirely. Whether a specific build offers it depends on the model chosen for it.
- Can I make a track that sounds like a specific artist?
- Not on a product Branditify builds. Direction is given as a genre and a feel rather than as a named artist to copy — that is a deliberate line, and it protects you as much as anyone.
- Can it clone a singer’s voice?
- No. Voice cloning is not part of this product, and adding it would raise consent and rights questions that a generation feature cannot answer on its own.
- Can I get separate stems or a WAV file?
- Only where the chosen model produces them, and many do not. Export formats are confirmed when the model is selected rather than promised in advance.
- How many versions can I make?
- Version handling is part of the product being built rather than a property of the model, so it is a design decision — how versions branch from a brief, what is kept and what can be returned to.
- Is the same instruction guaranteed to give the same track?
- Usually not. Generation is not deterministic in the way a fixed check is, which is why the useful workflow is regenerating with one decision changed rather than expecting to reproduce a result exactly.
- Can this replace hiring a composer?
- For some jobs, and it should not for others. It is well suited to exploring, to volume and to music that supports something else. When a specific performance is the point or the master has to be owned outright, a person is the right answer and we would say so.
- What happens when a project starts?
- The languages and the intended use come first, because together they decide which models are even candidates. Those get tested against your real lyrics, the licence position is established, and the product is designed around whichever model survives that.
Start here
Start with the line you can already hear in your head.
The useful first conversation is about the languages, what the music is for and where it will run — those three decide which models are candidates and what the licence has to allow.