Vocal Remover Pro vs Spleeter

Struggling to choose between Vocal Remover Pro and Spleeter? Both products offer unique advantages, making it a tough decision.

Vocal Remover Pro is a Audio & Music solution with tags like vocal-removal, karaoke, audio-editing, music-editing.

It boasts features such as Isolate and remove vocals from songs, Create instrumental and karaoke versions of tracks, Adjustable sensitivity for fine-tuning vocal extraction, Batch processing for handling multiple files, Support for common audio formats like MP3, WAV, FLAC, Real-time preview when removing vocals, Retains original audio quality after processing, Plugin versions for major DAWs and pros including Effective at removing vocals from songs, Simple and easy to use interface, Good audio quality retention, Useful for karaoke or remixing tracks, Works on many audio formats.

On the other hand, Spleeter is a Audio & Music product tagged with audio-separation, remixing, music-manipulation, deep-learning.

Its standout features include 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 it shines with pros like 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.

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.

Vocal Remover Pro

Vocal Remover Pro

Vocal Remover Pro is an audio editing software that specializes in separating and removing vocals and instruments from audio tracks. It uses advanced algorithms to detect and isolate vocal elements, allowing users to edit songs, remove vocals, create karaoke tracks, and more.

Categories:
vocal-removal karaoke audio-editing music-editing

Vocal Remover Pro Features

  1. Isolate and remove vocals from songs
  2. Create instrumental and karaoke versions of tracks
  3. Adjustable sensitivity for fine-tuning vocal extraction
  4. Batch processing for handling multiple files
  5. Support for common audio formats like MP3, WAV, FLAC
  6. Real-time preview when removing vocals
  7. Retains original audio quality after processing
  8. Plugin versions for major DAWs

Pricing

  • One-time Purchase
  • Subscription-Based

Pros

Effective at removing vocals from songs

Simple and easy to use interface

Good audio quality retention

Useful for karaoke or remixing tracks

Works on many audio formats

Cons

Can introduce artifacts on complex audio

Limited to vocal removal, no other audio editing features

Plugin versions cost extra

May not work well on low quality audio


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