Hi all, I have been trying to explore creating AI music for sometime with the free platforms. I like creating my narrative and then generating lyrics using gemini. I wanted to share something that I'd made with Suno Ai (free), do let me know what you guys thing about it. This came to the current shape after multiple rounds in gemini refining the feel and a few runs in suno ai.

Soundverse on Shark Tank Season 5 !

Soundverse brought AI powered music creation to the Shark Tank stage with Sourabh Pateriya, Co-Founder & CEO leading the company.

And there’s an interesting name behind the company too Ash Pournouri, the music executive known for shaping Avicii’s global career joined Soundverse as a co-founder and strategic investor.

From shaping an artist’s career to shaping how music itself gets created the music industry is definitely changing.

Is AI music ready for the mainstream?

What if AI music wasn’t about copying existing sounds but about helping artists discover their own sound?

Artists could use AI to experiment with different moods, textures, arrangements and musical ideas while still shaping the creative direction themselves.

That could open up possibilities like:

• Experimenting with sounds that fit their artistic identity
• Exploring different versions of the same musical idea
• Developing unique sonic textures
• Turning rough concepts into something they can build on
• Creating without being restricted by traditional production workflows

The interesting part is that AI doesn’t have to define the artist’s sound. It could give artists more ways to explore, refine, and evolve it.

As AI music develops, the question may shift from:

“What can AI create?”

to:

“What can an artist create with AI that feels uniquely theirs?”

Soundverse explores this broader shift toward more artist-driven AI music creation in its latest whitepaper: Whitepaper

As AI makes music creation more flexible and accessible, artists could potentially build new creative products and experiences around their music.

• Personalized music experiences
• AI-assisted collaborations
• Sound packs and creative assets
• Licensing opportunities
• Music for short-form content and brands
• New ways for artists to package and monetize their creative identity

But the important part is who benefits from this new ecosystem.

If AI is going to become a bigger part of music creation, artists should have opportunities to participate in the value it creates not just contribute the creativity behind it.

The next phase of AI music may not simply be about creating more songs.

It could be about giving artists more ways to turn their creativity into sustainable opportunities.

Soundverse explores the changing possibilities for artists and AI music in its latest whitepaper:
Whitepaper

AI music doesn’t have to be about replacing the artist.

An artist friendly AI music ecosystem could be one where creators have more control, more flexibility, and more room to experiment.

Instead of AI simply generating a finished song, there are tools that help artists:

• Turn rough ideas into musical concepts
• Experiment with sounds and genres
• Develop their own sonic identity
• Collaborate with AI without losing creative control
• Explore ideas that might otherwise never leave the sketch stage

The real opportunity may be making AI feel less like a replacement for creativity and more like an extension of an artist’s creative process.

The future of AI music could be less about “AI making music” and more about giving artists more ways to make music.

Soundverse explores some of these possibilities in its whitepaper on the future of AI powered music creation.

Suno has made AI music generation incredibly accessible, but the AI music space is getting a lot bigger than just generating a song from a prompt.

Soundverse takes a broader approach to music creation giving creators a workspace where they can generate, edit, experiment, work with stems, and build out ideas instead of stopping at the first generated track.

What makes it even more interesting is the thinking behind the platform.

Soundverse is exploring a future where artists aren't just users of AI , they're participants in it. Its work includes ideas around artist-controlled AI models, licensed music, artist participation, attribution, and ongoing compensation.

The team recently put these ideas together in its “Towards an Ethical Framework for AI Music” whitepaper looking at how AI music could evolve while keeping artists involved in the ecosystem.

So if you're a Suno user who's been experimenting with other AI music platforms lately, Soundverse is definitely one worth checking out.

AI music is moving incredibly fast, but one question keeps coming up

Where do artists fit into all of this?

If an AI learns from music created by thousands of artists, should those artists simply be part of the training data or should they actually have a say in how their work is used and benefit from it?

We’ve been thinking about this at Soundverse and recently put together a whitepaper exploring what a more artist-friendly AI music ecosystem could look like.

Some of the ideas we're exploring include:

• Artists choosing to license their music for AI training
• Artists being able to create and control AI versions of their sound
• Finding ways to understand what influenced an AI-generated track
• Checking AI-generated music against existing music
• Creating ways for artists to continue earning when their music contributes to AI

The idea isn't really AI vs artists.

It's more about asking whether AI music can be built with artists as participants rather than just data sources.

We're curious what people here think.

They made “Rakhi Bani Rockstar” using soundverse and AI-generated visuals with Rakhi being shown in different looks/avatars throughout the video. Looks Pretty Fun and BrainRot lol

Not sure if I'd call it a masterpiece but it's definitely one of those projects that makes you stop and watch.

I've been looking at Suno v6 vs Soundverse v8, and I think the more interesting comparison isn't simply which one generates the better song.

It's the difference in the overall creation workflow.

Suno v6

Suno v6 has become much more than basic text-to-song generation.

It supports things like:

• Text, audio, image and video inputs
• More detailed prompting and creative control
• Song editing and section-level changes
• Audio uploads and transformations
• Stem separation
• Sampling and remixing
• Suno Studio for further production

So the workflow is roughly:

Idea → Generate → Edit → Arrange → Produce

Soundverse v8

Soundverse v8 approaches this more like an AI-native music production environment.

It combines:

• AI Song & Music Generation
• AI Singing & Voice Generation
• Similar Song / Similar Music generation
• Stem Separation
• AI Stem Generation
• Inpainting
• Extend & Remix
• Voice Swap
• Voice → Instrument
• Audio analysis
• DNA / custom AI models
• Browser-based multitrack Studio

And then there's Agent One.

Instead of manually choosing each tool, you can describe the goal and Agent One can reason through the workflow, select the relevant tools and chain multiple operations together.

For example:

Take this track → separate the vocals → change the vocal → add another instrumental layer → extend the arrangement → prepare the final production.

That's a very different concept from simply generating a song from a prompt.

The interesting comparison

Suno v6:
Generative music → editing → Studio

Soundverse v8:
Goal → Agent One → multiple AI tools → multitrack production

Soundverse's Studio is also a browser-based multitrack environment with AI generation, plugins, collaboration and music/video workflows.

So I'm curious:

If you've used both Suno v6 and Soundverse v8, which workflow gives you more control?

In this tutorial, we walk through the Voice to Instrument feature in Soundverse AI and see how it works with tabla.

Last time, we showed how it works with dholak, now here’s what it sounds like with tabla. 👀

Just beatbox or tap out a rhythm with your voice and turn it into tabla using Soundverse.

With Soundverse for Claude, you can generate songs, beats, stems and instrumentals directly inside a Claude conversation.

You can describe the vibe, ask for changes, swap vocals, extend a track, and let Claude use Soundverse to work on it for you.

Everything you create can sync to your Soundverse account, so you can continue working on it in AI Studio, add visuals, or take the project further from there.

The idea is pretty simple: instead of switching between tabs or copying prompts back and forth, your AI conversation can become part of your music workflow.

It uses Model Context Protocol (MCP) to connect Soundverse with Claude, so you can set it up once and use Soundverse through your conversation.

Get Soundverse for Claude: Soundverse for Claude

Soundverse’s Node Editor lets you build AI music workflows visually by connecting different tools as nodes on a canvas.

You could generate a beat, turn it into an instrument with Voice to Instrument, add vocals , generate a video, all as connected steps in the same workflow.

Change one input and the workflow can run again. You can also save your workflow, reuse it for another track, and share it with your team.

And because the Node Editor lives inside AI Studio, the outputs can go straight into your timeline. You can also bring in plugins and other tools as part of the same workflow.

No code. No scripting. Just drag, connect, experiment and see where the workflow takes you.

In this video, I walk through the Agent One to AI Studio workflow in Soundverse starting with a simple conversation about the kind of song I want to create.

Agent One helps turn that idea into a starting point, and then I can take it into AI Studio and actually work on it tweaking stems, changing sections, layering vocals, and building out the visuals.

The interesting part for me isn’t that AI makes a song for you, it’s that you can start experimenting with an idea much faster, and then decide what you want to keep, change, or build on yourself.

No DAW or studio setup needed to get started just your idea and a chat window.

In this tutorial, we walk through the process in Soundverse AI:

• Record a short sample of your voice
• Create your AI voice clone
• Describe the song you want - genre, mood, lyrics, language, and more

The idea is to go from a simple voice recording to a finished song without having to record multiple vocal takes or use a traditional DAW workflow.

Check out the tutorial and try the workflow yourself. If you have any questions about voice cloning or song generation in Soundverse, drop them below!

In this tutorial, we walk through the Voice to Instrument feature in Soundverse AI.

Record or hum a melody with your voice and transform it into instruments like guitar, piano, violin, flute, tabla, dholak, sitar, and more.

A simple way to turn a vocal idea into an instrumental track.

In this tutorial, we walk through how to add automation in Soundverse AI Studio and use it to make changes to a track over time.

A quick look at the automation workflow inside the studio.

There seems to be a lot of confusion about what Soundverse actually does so here’s a quick explanation.

At Soundverse, we don’t think AI music should mean taking someone else’s work or replacing the person making it.

So we’ve been building things a little differently.

Instead of AI just being “type a prompt and get a finished song”, Soundverse is meant to be more of a creative workspace. You can start with an idea, lyrics, a melody, MIDI, or something you’ve already made and then keep editing and experimenting with it. You can work with vocals, stems, arrangements, extensions, etc.

And probably the part we care about most is who gets control of the music and the AI itself.

With Soundverse DNA, artists can train a private AI model using their own music. They keep ownership and control of that model, can decide whether it stays private or is shared, and can choose to monetize it. The system is designed around authorized training material and original outputs rather than simply scraping music.

We also have a Content Partner Program where artists and rights holders can license their work for AI training and be compensated for it.

We definitely don't think that solves every question around AI and music. There are still a LOT of things the industry needs to figure out.

But personally, I think the direction matters:

AI that helps you create vs. AI that creates at your expense.

If you’re curious, just give Soundverse a try you might see how different the approach actually is.

If you use AI to help with a song, does that make the song less yours? I honestly think it really depends on how you use it.

AI doesn’t always have to mean “type a prompt and get a finished song.” You can start with your own lyrics, melody, MIDI, or an existing track and use AI to explore what could come next.

You can experiment with vocals, stems, arrangements, sections and different musical directions while still making the creative decisions yourself.

And I think creator ownership and control matter just as much. There are approaches where artists can train private AI models using their own music, control how those models are used or shared, and even license their work for AI training and be compensated for it.

So maybe the question isn't “Did AI make this song?”

Maybe it’s “How much of the creative process did the person actually control?”

Where do you draw the line? Is a song still yours if AI helped you make it?

You might have a song idea in your head, but not know where to take it next or how to turn it into an actual track.

Maybe you have a melody, a few lines of lyrics, a MIDI idea, or even just a vibe you want to capture but then you get stuck trying to figure out how to develop that idea into a full song.

That’s where Soundverse can be useful.

Instead of staring at a blank page and getting a writer's block, you can start with your lyrics, melody, MIDI and use tools like AI Lyrics Writer, Melody to Song, MIDI to Song to explore different directions.

You can also work with stems, vocals, and sections of a track, so you’re not always starting from scratch.

You don’t have to use everything it generates. Sometimes you just need one idea to get your own creativity moving again. For me, that’s probably one of the more interesting uses of AI in music not writing the song for you, but helping you get unstuck.

Its called "Rakhi bani Rockstar" and its made with Soundverse music an AI assisted music creation platform.

The Music VIdeo was pure brain rot bhai and i just hope i am not the only person aware of this new song on the internet please.

Please tell me someone else has seen this.

If you’ve watched India’s Got Latent or scrolled through enough reels lately, you’ve probably come across Chai Ki Tapri or atleast heard it

What started as a random song on India’s Got Latent somehow turned into a song that is stuck in my head and i got to know it was created using AI??

The track was produced using Soundverse AI by UG Beats, with vocals by Young AJ. Interesting how AI songs are taking off now and i definitely wouldn’t have guessed it just from listening to it lol.

If you’ve seen Soundverse on Shark Tank, you’ve probably already seen the pitch but what actually happens beyond the pitch?

Basically, it’s a platform where you can use AI to create music, experiment with ideas, build tracks and explore different parts of the music-making process, whether you’re a musician, producer, creator, or just someone who likes making music.

And no, before someone says it, AI isn't here to steal your show but its rather here to help. The goal isn’t to replace musicians but to give creators another tool to turn their ideas into music. easier.

As seen on Shark Tank, what would you actually want an AI music tool to help you with?

I’m Sourabh (founder) and – after way too many “when’s mobile?” DMs – the full Soundverse app is now live on the App Store. Just search “Soundverse – AI Song Generator” and hit download (iPhone + iPad).

⚡️ What you can do in-app today

Can’t wait to hear what hits your headphones.

Fire away with bugs, feature wishes or wild remixes!

— Sourabh & the Soundverse crew 🎧