Audio-Separator Demo
pyharp-wrapped demucs stem separator model running on GPU
Separate audio channels from a mixed audio file
Generate speech and separate vocals from audio
Separate audio into vocals, bass, drums, and other
Extract vocals and instrumentals from audio
Using Docker for the first time for the first instance
Extract voice from audio file
A music separation model
Convert audio using RVC models and separate vocals
spleeter for test
Find choruses in music from YouTube or uploaded MP3 files
Split audio into parts
Audio Separator is an AI-powered tool designed to separate vocals and instruments from a music track, allowing users to extract individual stems with high precision. It leverages advanced audio processing models to isolate specific elements within an audio file, providing clean and professional results. Whether you're a musician, producer, or hobbyist, this tool simplifies the process of working with separated audio components.
• AI-Powered Separation: Uses cutting-edge AI models to separate vocals, instruments, and other elements with high accuracy.
• Multiple Stem Outputs: Extract stems such as vocals, backing vocals, instruments, bass, drums, and piano.
• High-Quality Output: Delivers clean and professional-grade separated audio files.
• User-Friendly Interface: Easy-to-use platform for quick and seamless audio separation.
• Batch Processing: Handle multiple files at once for efficient workflow.
• Support for Popular Formats: Works with common audio formats like WAV, MP3, and more.
What file formats does Audio Separator support?
Audio Separator supports popular audio formats, including WAV, MP3, and AIFF.
Can I use Audio Separator for free?
Yes, you can try Audio Separator with a free trial. For full access to features, a subscription is required.
How long does the separation process take?
Processing time depends on the file size and model complexity. Most files are processed within minutes, but larger files or advanced models may require more time.