Extract vocals and instrumentals
Overview
Pricing
FAQs
Support
Introducing AudioStrip - an innovative tool designed for music producers seeking to effortlessly extract vocals and instrumentals from audio tracks. With the ability to seamlessly separate vocals from the background music, AudioStrip utilizes cutting-edge Artificial Intelligence and Deep Learning technologies. ... Read More
Yearly plans
Show all features
Customer Service
Online
Location
London, England
Introducing AudioStrip - an innovative tool designed for music producers seeking to effortlessly extract vocals and instrumentals from audio tracks. With the ability to seamlessly separate vocals from the background music, AudioStrip utilizes cutting-edge Artificial Intelligence and Deep Learning technologies. By leveraging vast music datasets, this platform delivers unparalleled results, empowering producers to access specific samples without the need for costly software. Unleashing the power of AI, AudioStrip streamlines the process of isolating vocals and instrumentals, eliminating the complexities often associated with such tasks. Revolving around the Spleeter python library code, this user-friendly website caters to both seasoned professionals and aspiring hobbyists in the music production realm. In essence, AudioStrip serves as a gateway to harnessing the full potential of AI models, democratizing access to advanced technology without the prerequisite of specialized technical skills. Redefining the landscape of music production tools, AudioStrip stands out as a straightforward yet sophisticated solution for disentangling vocals and instrumentals with remarkable accuracy. Whether you're a budding musician or an established producer, AudioStrip is your go-to platform for effortlessly transforming audio files into customizable components, enhancing your creative endeavors without the hassle of convoluted software systems. Embrace the future of music production with AudioStrip - where innovation meets accessibility and creativity knows no bounds.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
Researched by Rajat Gupta