MuseGen
AI Music Generator
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July 13, 2026
I'm building MuseGen — a AI Music Generator for Commercial Songs from Text, Audio, or Lyrics
hi all,
We picked MuseGen because it's a problem we kept hitting ourselves: as creators, finding the right music was always the bottleneck — expensive, slow, or generic. When generative AI finally made text-to-music real, we saw a rare window to fix that for everyone, not just people who can compose. It's the intersection of perfect timing, a huge creator market, and a problem we genuinely care about — which is exactly the kind of idea worth betting years on.
Website: https://www.musegen.ai
20 Comments
Fantastic execution. Solving for 'usable' commercial music is exactly where the value lies for creators, not just the 'wow factor' of AI music. Since you're building a platform for creators, I'd be curious to see how you're approaching the GEO (Generative Engine Optimization) side of things basically, how do your users make sure their generated content is discoverable by AI assistants? I'm tackling this at CitableHub and would love to hear your thoughts on how creators can optimize their footprint in this new era."
GEO isn't something we've built for yet. Closest thing is our Music Plaza — public tracks live on creator profiles, so they're indexable, but that's a side effect of the community feature, not a real discoverability layer.
What I find interesting for AI music specifically: platforms are moving toward mandatory AI transparency tags on delivery. So creators will be emitting structured "AI-assisted" metadata regardless — the disclosure layer and the discoverability layer may end up being the same thing.
Curious if you're seeing that at CitableHub. Happy to keep talking.
Really appreciate the thoughtful breakdown — you're right that AI transparency tags could become the discoverability layer by accident. That's a fascinating angle we hadn't considered.
On the CitableHub side, I actually went ahead and created a profile for MuseGen: citablehub.com/p/musegen — it already surfaces your key differentiators (100% commercial use, stem separation, V3 engine) in a format AI assistants can parse and cite. You can claim it anytime, no cost.
Would love to keep this conversation going. The intersection of AI-generated content and AI-powered discovery is exactly what we're building for.
Really appreciate you doing that, and glad the transparency-tag angle was useful.
One correction before it propagates, precisely because the page is built to be cited: two differentiators are off. Stem separation isn't live — it's roadmap, exports today are MP3/WAV only. (Minor: it's V3/V4/V5, not just V3.)
And yes, let's keep talking — this intersection is exactly the thing worth getting right.
Thanks for the corrections updated mentally. Stem separation on the roadmap is actually a smart move to talk about publicly, because AI assistants pull from what's documented and verifiable, not just what's live today.
Speaking of which I've been running an experiment this week around how AI models decide what to recommend. I asked Perplexity "where should I list my SaaS so AI recommends it" and my own product (CitableHub) came back dead last out of 11. Wrote about the whole thing on Dev.to if you're curious.
The interesting part for MuseGen: AI music generation is a competitive space, and models like ChatGPT are already answering "best AI music generator" queries. The products that show up aren't necessarily the best they're the ones with the most structured, verifiable information across multiple sources.
Your product page on CitableHub is already live, by the way citablehub.com/p/musegen. I set it up based on public info, so if anything needs correcting (like the stem separation detail you just mentioned), you can claim it and update it yourself.
Let's definitely keep talking. The intersection of AI discoverability and music tools is genuinely under-explored.
Just wondering how much it's different from the suno, One day accidentally tried suno and amazed that I can make songs in seconds. I'm a very novice person to music and composing but good listener. Even for lyrics I can use AI to generate based on context. I myself is builder of apps and always I have such questions to myself. By the by this is my first comment in this platform as I'm new trying to give my 2cents that can help.
Welcome, and thanks for making this your first comment — genuinely appreciated. I'll give you a straight answer instead of a sales one.
On the core question: for the raw "type a prompt, get a song in seconds" experience, you shouldn't expect a night-and-day difference in the generated audio itself. Anyone telling you otherwise is selling.
Where it differs is the toolchain around that moment:
Section-level editing — regenerate just the chorus without rerolling the whole song, or mask a specific track (drums, bass, lead, vocals) instead of starting over. As a novice, this is the part that actually matters — it means you don't lose a take you liked.
Free side tools, no generation required — Audio-to-MIDI (browser-side, unlimited, up to 7 min), BPM detection, MP3→WAV, lyrics generator, and an AI music video generator.
Built-in lyrics assistant — since you mentioned already using AI for lyrics, it's in the same tab rather than a separate one.
Vocal remover on paid plans.
One thing I want to be upfront about: full stem export and native MIDI export aren't live yet — they're on the roadmap. Today, downloads are MP3 and WAV. Some of our marketing copy overstates this and we're getting it fixed. If you want MIDI right now, the workaround is: generate → download WAV → run it through the free Audio-to-MIDI tool. It works, but it's melody transcription, so simple lines transcribe cleaner than dense mixes.
As a fellow builder, the honest framing: if Suno already works for you, this won't reinvent your workflow. If you want the surrounding tools without stitching four products together, that's the actual pitch. Happy to go deeper on anything — and welcome again.
This is a really solid thesis. The "we hit this problem ourselves" angle is so much more credible than "we saw a market opportunity." And the timing piece is real — generative music has finally matured enough that it's actually useful, not just a novelty.
Quick question that I'm genuinely curious about: with all the licensing complexity around AI-generated music (rights, attribution, commercial use), how are you thinking about the trust/legal side? That feels like it could be the thing that kills adoption or gets regulated hard.
On the bigger picture, it's unsettled . Two separate issues: industry-wide training-data litigation, and whether prompt-only output is copyrightable at all (the US Copyright Office says prompting alone doesn't establish authorship — so real human input matters). Platforms are also moving toward mandatory AI disclosure on delivery.
The word doing the real work in your pitch is 'commercial,' so make the licensing story impossible to miss. Creators do not leave stock music because it sounds bad, they leave because clearing rights is slow, and a one-click 'safe for YouTube monetization' guarantee is worth more than better audio. Price against a stock music subscription, not against other AI tools.
Good advice.
Today our Terms say you own your outputs and paid plans cover commercial use, which isn't the same thing. Rather say that plainly than let "royalty-free" carry more weight than it can.
Clarifying the licensing story is on us regardless. Appreciate the push.
The timing point is the whole thing honestly. You either catch the AI getting good at the exact moment your market needs it, or you're fighting both at once and burning out. Curious about your early users. Text input vs voice input, which one do people actually stick with? My guess is voice is flashier in the demo but text is what gets real usage.
Really like the story behind choosing the idea. It's refreshing to see founders explain why they picked a problem instead of only talking about features. Hope the launch goes well! 🚀
Thank you — really appreciate that. The team feels strongly that the "why" matters more than the feature list, so it's great to see that land. Hope you'll give it a try, and we'd love your feedback if you do 🙏
Can it help generate generic sounds and mere downaries to ai videos
Two different answers here:
Background music for videos — yes. That's the core use case. Toggle "Pure Music" for instrumental, describe the mood (cinematic, lo-fi, ambient), get a full track.
Generic SFX (whooshes, impacts, foley) — no. Straight answer: it's a song generator, not a sound design tool. You'll see "sound effects" in some of our gaming copy, but there's no dedicated SFX feature — use a proper SFX tool for that.
Heads up on AI videos: our MV generator goes song → video, not the reverse. To score an existing video: generate instrumental → download → drop into your editor.
I like that you're framing the bottleneck as access to usable commercial music, not just AI music generation.
Generating music is becoming commoditized. Helping creators reliably get music they can actually use in their workflows feels like the more durable problem to solve.
Exactly . Generation is commoditizing fast; the durable part is everything after the track exists: iterating on one section instead of rerolling, exporting in a format your editor takes, and knowing you're clear to use it.
That last part is the least glamorous and the most important.
That’s a useful distinction, especially the gap between generating something and being able to actually use it. How are you seeing creators respond to that side of MuseGen so far?