Spleeter vs Izotope RX 7

Struggling to choose between Spleeter and Izotope RX 7? Both products offer unique advantages, making it a tough decision.

Spleeter is a Audio & Music solution with tags like audio-separation, remixing, music-manipulation, deep-learning.

It boasts features such as Uses deep learning models for audio source separation, Separates audio into stems of vocals, drums, bass, piano and other instruments, Provides pre-trained models for 2, 4 and 5 stem separation, Command line interface and Python library for integration into apps, Open source under MIT license and pros including High quality separation powered by deep learning, Pre-trained models require no setup or training, Modular design allows customizing for new separation tasks, Actively maintained by research team at Deezer.

On the other hand, Izotope RX 7 is a Audio & Music product tagged with noise-reduction, audio-restoration, dialogue-enhancement, pitch-correction, audio-repair, audio-editing.

Its standout features include Spectral Repair for surgical audio restoration, Music Rebalance for remixing stereo audio, Dialogue Isolate for extracting dialogue from complex audio, De-rustle for removing consistent broadband noise, Mouth De-click for removing mouth smacks and pops, De-wind for removing wind noise, De-ess for removing harsh sibilance, De-reverb for removing excessive room reverb, and it shines with pros like Powerful audio repair and enhancement tools, Intuitive spectral editing interface, Multiple workflow options for different experience levels, Helpful for post-production, forensics, archiving, and more.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Spleeter

Spleeter

Spleeter is an open-source audio source separation tool intended for music manipulation. It separates audio recordings into stems of vocals, drums, bass, and other instruments for remixing or analysis. It utilizes deep learning for high quality source separation.

Categories:
audio-separation remixing music-manipulation deep-learning

Spleeter Features

  1. Uses deep learning models for audio source separation
  2. Separates audio into stems of vocals, drums, bass, piano and other instruments
  3. Provides pre-trained models for 2, 4 and 5 stem separation
  4. Command line interface and Python library for integration into apps
  5. Open source under MIT license

Pricing

  • Open Source

Pros

High quality separation powered by deep learning

Pre-trained models require no setup or training

Modular design allows customizing for new separation tasks

Actively maintained by research team at Deezer

Cons

Pre-trained models work best on pop/rock music

Requires powerful GPU for real-time separation

Limited documentation and examples


Izotope RX 7

Izotope RX 7

Izotope RX 7 is an industry-standard audio repair and enhancement software. It provides tools for reducing background noise, restoring damaged recordings, correcting pitch and timing, enhancing dialogue, and more. RX 7 aims to give audio professionals extensive control over editing and improving all types of audio.

Categories:
noise-reduction audio-restoration dialogue-enhancement pitch-correction audio-repair audio-editing

Izotope RX 7 Features

  1. Spectral Repair for surgical audio restoration
  2. Music Rebalance for remixing stereo audio
  3. Dialogue Isolate for extracting dialogue from complex audio
  4. De-rustle for removing consistent broadband noise
  5. Mouth De-click for removing mouth smacks and pops
  6. De-wind for removing wind noise
  7. De-ess for removing harsh sibilance
  8. De-reverb for removing excessive room reverb

Pricing

  • Subscription-Based

Pros

Powerful audio repair and enhancement tools

Intuitive spectral editing interface

Multiple workflow options for different experience levels

Helpful for post-production, forensics, archiving, and more

Cons

Steep learning curve

Requires significant processing power

Can be time-consuming for large projects

Expensive subscription pricing