Loudly vs MakeSong
A data-grounded look at how these two video & audio tools stack up — to help you pick the right video & audio tool in 2026.
Quick verdict
There's barely a point between Loudly and MakeSong on our Editor Score. Pick Loudly if you want four proprietary generation models with stated use cases; choose MakeSong for full song generation with vocals from a text description. On pricing, Loudly is the one with a free or freemium plan, so it's the cheaper place to start.
Loudly vs MakeSong at a Glance
| Pricing | Freemium | Subscription |
| Free tier | ||
| Best for | four proprietary generation models with stated use cases | full song generation with vocals from a text description |
Loudly
Loudly is a Berlin-built AI music platform spanning generation across four proprietary models and one partner model, a remix engine for songs you own, genre-aware mastering, stem splitting, and distribution to more than 50 platforms — with output stated as rights-cleared at generation.
- Makes an architectural rights claim rather than a vague royalty-free one
- Distinguishes honestly between its own models and a partner model
- Names five models and states what each is actually for
- SongDNA grounds agent decisions in real musical structure
- No detail published about the actual training corpus behind the clearance claim
- No litigation surface is a marketing phrase rather than a contractual term
- Only one model in the stack produces vocals, constraining song projects
MakeSong
MakeSong turns a text description or your own lyrics into a complete track with vocals across a wide genre range, exports to MP3 and WAV, and includes a fuller-than-usual set of editing tools — stem splitting, vocal removal, section replacement, song extension and video generation.
- Post-generation editing is fuller than most rivals — stems, section replacement and extension make output workable rather than fixed
- WAV export means the track can go into a real edit rather than only onto a platform
- Two entry points, so you can supply your own lyrics rather than only describing a mood
- Song extension solves the practical problem that video edits do not respect musical structure
- Models are identified only by version number, with no published detail on architecture or training sources
- Ownership, revocability and indemnity for generated audio are not clearly set out on the marketing pages
- Whether the commercial licence survives subscription cancellation is unstated, which matters for already-published work
Which Should You Choose?
Choose Loudly if…
- you want four proprietary generation models with stated use cases
- a free or freemium plan is important
Choose MakeSong if…
- you want full song generation with vocals from a text description
Loudly vs MakeSong: The Verdict
It comes down to fit, not a single winner: Loudly leans into four proprietary generation models with stated use cases, while MakeSong is built for full song generation with vocals from a text description. Weigh features and pricing for your workflow. Loudly is the lower-cost place to start thanks to its free or freemium plan; the other is worth a trial if its feature set fits better.
Frequently Asked Questions
Is Loudly better than MakeSong?
Neither is universally better — it depends on your budget and which features matter most. The side-by-side breakdown above shows where each one wins.
What is the difference between Loudly and MakeSong?
Loudly (freemium) is best for four proprietary generation models with stated use cases, while MakeSong (subscription) is best for full song generation with vocals from a text description. See the full feature and pricing comparison above.
Is Loudly or MakeSong cheaper?
Loudly has a free or freemium plan, so it's the cheaper way to start. For paid plans, check each tool's current pricing on its review page.
Which is better for beginners, Loudly or MakeSong?
Loudly is usually the easier starting point thanks to a lower barrier to entry. Beginners should favour a free tier and a simple interface over raw power.
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About the Authors
AI Tools Comparison Analyst
Olivia runs side-by-side comparisons and benchmarks, digging into pricing, features, and real-world performance so readers can choose between competing AI tools with confidence.
Senior AI Tools Reviewer
Daniel reviews AI tools the slow way — by actually using them on real projects. His reviews cover what works, what breaks, and who each tool is genuinely a good fit for.
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Last updated October 2026. Comparisons are ranked by our Editor Score (features, value and pricing, blended with verified user reviews where a tool has them) — see our methodology.