How to Create AI-Generated Music with Lyrics and Vocals

AI-generated music means the songwriting, production, and vocals are handled by AI, so you can turn a text idea or set of lyrics into a finished-sounding track without musical training. On Uberduck, this is done through a "Create a song" flow that the site says produces professional-sounding tracks "in seconds," and the company states you can use the output commercially on any paid plan. If you only need spoken narration, singing, or rapping from text, that's a separate text-to-speech feature rather than the full song generator.

What "AI-generated music" actually covers

The term gets used for two different things, and knowing which one you need changes your workflow:

• Full song generation — you provide an idea or lyrics, and the tool handles songwriting, production, and vocals together. Uberduck describes this as creating AI music with lyrics in seconds, with "songwriting, production, vocals, all taken care of."
• Vocals only — you generate speech, singing, or rapping from text, then place it into your own instrumental. Uberduck lists this as its text-to-speech capability, with API access for text to speech, text to singing, text to rapping, and voice conversion.

If you already have a beat and just need a vocal, the second path is the one to take. If you're starting from nothing but a concept, the first path is faster.

The typical workflow from idea to finished song

1. Start with a concept or lyrics. The site frames this as brainstorming possibilities — for example a video game soundtrack, a brand jingle, a podcast intro, a birthday greeting, or background music for a YouTube video.
2. Generate the track. Use the "Create a song" entry point. The site says no musical experience is required and that songwriting, production, and vocals are all handled for you.
3. Review the output. Because generation is described as taking seconds, expect to iterate — generate several versions rather than accepting the first result.
4. Confirm your usage rights before publishing. Uberduck states commercial use is available on any paid plan, which implies free-plan output carries licensing limits. Check the pricing page for your specific case rather than assuming.

Turning text into singing or rapping vocals

This is where AI music diverges from ordinary text-to-speech. Spoken narration and sung or rapped vocals are different outputs from the same text input:

The practical point: if your lyrics come back sounding spoken rather than sung, you're in the wrong mode. Switch to text-to-singing or text-to-rapping.

Customizing the voice

Two options let you move past a generic vocal:

• Voice cloning — Uberduck says you can make custom voices and have them speak, sing, and rap. This is the route if you want a consistent signature voice across multiple tracks.
• Voice conversion (speech to speech) — this changes your voice to someone else's while preserving your original style. Useful if you can already perform the part and only want a different timbre.

For a deeper look at what cloning requires from you as a user, see the related question on voice cloning prerequisites.

Language and style options that shape the result

Uberduck lists support for 70+ languages, and the song generator specifically says it supports 70+ languages and hundreds of musical styles. The language list on the site spans Afrikaans, Arabic, Mandarin, Hindi, Japanese, Spanish, Swahili, and many more, through to Zulu.

Two things worth knowing:

• Language selection affects pronunciation and delivery, so match it to your lyrics rather than your interface language.
• Style selection is what separates a lullaby from a rock track from the same lyrics. If a generation sounds wrong, changing style is often more effective than rewriting the words.

Common pitfalls

• Assuming free output is commercially usable. The site ties commercial use to paid plans. Verify on the pricing page before you publish anything monetized.
• Confusing TTS with song generation. Spoken text-to-speech will not produce a song. Use the song creation flow or the singing/rapping modes.
• Skipping iteration. "Seconds" generation times mean the cost of trying five versions is low. Treat the first output as a draft.
• Ignoring the 350-character input limit shown on the text-to-speech field. Long lyrics may need to be split across generations.
• Not checking language coverage for your specific language before committing to a project in it.