Convert audio using voice models and separate vocals
whisperx-test
Split audio into parts
Using Docker for the first time for the first instance
Extract vocals and instrumentals from audio
A music separation model
Generate a modified audio track and beat image from an uploaded song
Separate audio into stems using various models
CISM
Separate audio into vocals, bass, drums, and other
Extract melody from an audio file
Separate vocals from audio/video files
Lets cut out our audio accordingly for Keeping and relacing
Applaria RVC is an AI-powered tool designed to separate vocals from a music track. It leverages advanced voice models to isolate vocals with precision, allowing users to extract high-quality vocal tracks from audio files. Whether you're a musician, producer, or hobbyist, Applaria RVC simplifies the process of vocal separation, enabling creative freedom and professional-grade results.
• Advanced Vocal Separation: Utilizes cutting-edge AI models to accurately separate vocals from instrumental tracks.
• Real-Time Preview: Listen to the separated vocals and adjust settings on the fly for optimal results.
• Customizable Settings: Fine-tune separation parameters to achieve the desired clarity and quality.
• Multiple Audio Formats Supported: Works seamlessly with popular audio formats like WAV, MP3, and AIFF.
• User-Friendly Interface: Intuitive design makes it easy to upload, process, and download your tracks.
What audio formats does Applaria RVC support?
Applaria RVC supports popular audio formats such as WAV, MP3, and AIFF, ensuring compatibility with most music production workflows.
Can I adjust the separation settings after previewing the track?
Yes, Applaria RVC allows you to adjust settings in real-time and reprocess the track until you achieve the desired results.
Where can I access Applaria RVC?
Applaria RVC is available online as a web-based tool, making it accessible from any device with a modern web browser.