AudioShake vs MakeSong
Features, pricing and Editor Score side by side — to help you pick the right video & audio tool in 2026.
Quick verdict
MakeSong edges it by 0.2 on our Editor Score. Pick AudioShake if you want AI separation into vocals, drums, bass, and more; choose MakeSong for full song generation with vocals from a text description. On pricing, both are paid, so trials are how you test the fit.
AudioShake vs MakeSong at a Glance
| Pricing | Subscription | Subscription |
| Free tier | ||
| Best for | AI separation into vocals, drums, bass, and more | full song generation with vocals from a text description |
AudioShake
AudioShake review on AInexfinder — subscription AI tool for Video & Audio. Features, pricing notes, and alternatives.
- Award-winning, studio-quality separation
- Wide range of separable instruments and elements
- Professional and enterprise tiers for labels
- AI separation into vocals, drums, bass, and more
- Usage-based pricing can get costly at scale
- Advanced features geared toward professionals
- Heavy usage may hit rate or credit limits
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 AudioShake if…
- you want AI separation into vocals, drums, bass, and more
Choose MakeSong if…
- you want full song generation with vocals from a text description
AudioShake vs MakeSong: The Verdict
Your use case decides this one: AudioShake leans into AI separation into vocals, drums, bass, and more, while MakeSong is built for full song generation with vocals from a text description. Weigh features and pricing for your workflow. Both are paid — start each on a trial before you commit.
Frequently Asked Questions
Is AudioShake 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 AudioShake and MakeSong?
AudioShake (subscription) is best for AI separation into vocals, drums, bass, and more, while MakeSong (subscription) is best for full song generation with vocals from a text description. See the full feature and pricing comparison above.
Is AudioShake or MakeSong cheaper?
Both have paid plans — pricing depends on your usage tier. Open each tool's review for current prices, and watch for free trials.
Which is better for beginners, AudioShake or MakeSong?
AudioShake 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.
Keep exploring
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.