Convert audio using voice models and separate vocals
Generate a modified audio track and beat image from an uploaded song
A music separation model
Separate different speakers in an audio conversation
Separate vocals from audio/video files
Separate and transcribe duet audio into individual voices
Process audio files to separate stems
spleeter for test
Separate instrumental and vocal tracks from audio files
karatutu21
Separe vocal and instrumental tracks from audio
Separate audio into different components
Mixes the vocals with instrumental
Applaria RVC is an AI-powered tool designed to separate vocals from music tracks with precision. It leverages advanced voice models to isolate vocal elements from instrumental backgrounds, making it a valuable resource for music producers, remixers, and audio engineers. Whether you're working on a creative project or seeking to enhance your audio workflow, Applaria RVC provides a straightforward solution for vocal extraction.
• Advanced AI Technology: Utilizes cutting-edge AI models to achieve high-quality vocal separation.
• Precision Separation: Accurately isolates vocals from instrumental tracks, even in complex compositions.
• Multiple Format Support: Compatible with various audio formats, ensuring versatility for different projects.
• User-Friendly Interface: Easy-to-use design for seamless vocal extraction and processing.
• Batch Processing: Enables processing of multiple tracks simultaneously, saving time and effort.
• Real-Time Preview: Allows users to preview the separated vocals before finalizing the output.
What formats does Applaria RVC support?
Applaria RVC supports a wide range of audio formats, including WAV, MP3, and FLAC, making it versatile for various projects.
How accurate is the vocal separation?
The accuracy of vocal separation depends on the complexity of the track, but Applaria RVC's advanced AI models ensure high-quality results in most cases.
Can I process multiple files at once?
Yes, Applaria RVC offers batch processing, allowing you to separate vocals from multiple tracks simultaneously.