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Head-to-head · AI Stem Splitters

Moises vs MVSEP

  • Updated Oct 2026
  • Both researched from official sources
  • 3 checks side by side
Higher score Moises #1 in AI Stem Splitters 9.4/10 Free plan Free plan✓ 2 of 2 features Visit Moises
MVSEP #6 in AI Stem Splitters 8.7/10 Free plan Free plan✓ 2 of 2 features Visit MVSEP

Moises leads on 0 checks, MVSEP on 0, and 3 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreMoises · 9.4/10
  • Free planboth

Moises scores higher on our rubric for ai stem splitters: 9.4 against 8.7 out of 10; our editors rank them #1 and #6.

Moises is the better fit for musicians needing broad stem separation across devices. MVSEP is the better fit for high-limit web and API separation.

  • Moises fits best

    Musicians needing broad stem separation across devices

  • MVSEP fits best

    High-limit web and API separation

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Side by side

Feature Moises 9.4/10 Visit ↗ MVSEP 8.7/10 Visit ↗
At a glance
Editor score 9.4 8.7
Ranking #1 in AI Stem Splitters #6 in AI Stem Splitters
Best for Musicians needing broad stem separation across devices High-limit web and API separation
Pricing model Free plan + paid Free plan + paid
Starting price — —
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Desktop, Mobile Cloud, Mobile
Platforms Web, Windows, macOS, iOS, Android Web, iOS, Android
Features Moises 2/2 · MVSEP 2/2
Batch processing ✓ ✓
API access ✓ ✓
Specs
Stem outputs Not checked yet Not checked yet
Max upload length Not checked yet Not checked yet
Export formats MP3, WAV, FLAC, M4A, OGG MP3, WAV, FLAC, M4A
Platform Not checked yet Not checked yet
Our review
Pros
  • Up to 27 separation targets with standard and Hi-Fi models
  • Bulk processing and exports in MP3, WAV, FLAC, M4A, and OGG
  • Web, desktop, iOS, Android, and API access
  • Supports many vocal, instrument, rhythm, and speech stem types
  • Premium handles 100-minute files, 1000 MB uploads, and batch processing
  • Offers mobile apps, cloud integrations, webhooks, and regional API endpoints
Cons
  • Free plan allows up to 5 uploads per month
  • Free uploads are limited to 5 minutes
  • Some separation options require a paid plan
  • Unregistered and Registered plans limit files to 10 minutes and 100 MB
  • Premium uses prepaid credits rather than a subscription model
  • Published platform coverage centers on web, mobile, and API workflows
Our verdict

Moises is an AI-powered music tool for musicians who need to separate vocals and instruments, adjust tracks, and export stems. It supports audio and video uploads through web, Windows, macOS, iOS, and Android apps. Stem separation can…

Read the review →

MVSEP is an online audio-separation service for musicians, producers, remixers, and developers who need recordings divided into vocals, instruments, rhythm sections, speech, music, or effects. Its model library covers common stems such as…

Read the review →
  1. MoisesAI Stem Splitters 9.4Free plan
  2. MVSEPAI Stem Splitters 8.7Free plan

Strengths and trade-offs

  • Moises — where it wins

    • Up to 27 separation targets with standard and Hi-Fi models
    • Bulk processing and exports in MP3, WAV, FLAC, M4A, and OGG
    • Web, desktop, iOS, Android, and API access

    Where it doesn't

    • Free plan allows up to 5 uploads per month
    • Free uploads are limited to 5 minutes
    • Some separation options require a paid plan
  • MVSEP — where it wins

    • Supports many vocal, instrument, rhythm, and speech stem types
    • Premium handles 100-minute files, 1000 MB uploads, and batch processing
    • Offers mobile apps, cloud integrations, webhooks, and regional API endpoints

    Where it doesn't

    • Unregistered and Registered plans limit files to 10 minutes and 100 MB
    • Premium uses prepaid credits rather than a subscription model
    • Published platform coverage centers on web, mobile, and API workflows

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update