Separate vocals from background in audio
Remove noise from your speech recordings
Remove background from images
Split audio on silence and stream chunks
Zero-Shot Voice Cloning-Resistant Watermarking
Convert text to speech with background music
Vocal and background audio separator
Identify sound sources in images using audio
Remove noise from images
Split audio files by removing silence and segmenting
Extract target speaker audio from mixed recordings
Improve image quality by removing noise
Vocal Separation SOTA is a cutting-edge AI-powered tool designed to isolate vocals from background noise in audio files. It leverages advanced machine learning algorithms to achieve high-quality separation, making it ideal for audio engineers, musicians, and podcasters who need clean vocal tracks. The tool is particularly effective at reducing background noise and isolating voice from complex audio mixes.
• Advanced Vocal Separation: Uses state-of-the-art AI models to separate vocals from background noise.
• High-Quality Output: Produces clean and sharp vocal tracks with minimal residual noise.
• Real-Time Preview: Allows users to preview the separation results before exporting.
• Multiple Format Support: Supports popular audio formats like WAV, MP3, and more.
• Batch Processing: Enables users to process multiple audio files simultaneously for efficiency.
What formats does Vocal Separation SOTA support?
Vocal Separation SOTA supports WAV, MP3, AAC, and FLAC formats, ensuring compatibility with most audio workflows.
Is there a limit to the size of files I can process?
While there is no strict file size limit, processing times may increase for larger files. For optimal performance, files under 100MB are recommended.
Can I use Vocal Separation SOTA for podcasts or live recordings?
Yes, Vocal Separation SOTA is ideal for podcasts and live recordings. It effectively isolates vocals and reduces background noise, ensuring professional-grade audio quality.