Audience
Anyone requiring an AI-powered tool to separate vocals, isolate instruments, and reduce background noise
About Gaudio Studio
Gaudio Studio is an online platform that leverages advanced AI technology to provide high-quality audio processing services. It offers tools such as vocal remover, stem splitter, and noise reduction, enabling users to separate vocals from music, isolate individual instruments, and eliminate background noise to enhance voice clarity. The platform supports various audio and video file formats, including MP3, WAV, FLAC, and MP4, as well as direct links from platforms like YouTube, Dropbox, and Google Drive. Gaudio Studio's services are powered by GSEP (Gaudio source SEParation), an AI stem separation model recognized for its superior performance in external objective tests. Accessible from both desktop and mobile devices, Gaudio Studio ensures consistent quality and performance across platforms, making it a versatile tool for musicians, podcasters, and audio enthusiasts seeking to manipulate and enhance audio content.
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Splitter.ai
Splitter.ai is an AI-powered audio processing platform that enables users to isolate individual components of a song, such as vocals, bass, drums, and other instruments. By uploading an audio file or providing a YouTube link, the platform utilizes advanced machine learning algorithms to separate the track into distinct stems, typically within a minute. This functionality is particularly beneficial for musicians, producers, DJs, and karaoke enthusiasts who wish to create backing tracks, remixes, or analyze specific elements of a song. Splitter.ai offers both free and premium services, with the latter providing enhanced features like near-perfect two-stem separation, reverb removal, and direct YouTube splitting. The platform is accessible via its website and supports various audio formats, ensuring a user-friendly experience for those seeking to manipulate and explore music components.
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Demixer
Quickly separate your tracks into two or four stems with your music files exported into high-quality vocals, drums, bass, and instruments that can be remixed in our multi-track mixer. Create great karaoke versions of your tracks in seconds removing vocals and exporting high-quality backing tracks. Upload files in WAV, MP3 or MP4, with support for up to 16bit 44.1 kHz audio. The higher quality the input file, the higher quality the separation. Demixer's advanced AI algorithms generate high-quality vocal, drum, bass and instrumental stems from a wide variety of audio files. Exported files enable you to play your tracks in our web player, or import them into your favorite DAW to remix your tracks in your own time. Advanced vocal isolation algorithms give you the cleanest stems minimizing any post-production requirements to clean up your tracks.
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Mikrotakt
Mikrotakt is an AI-powered platform designed to enhance music production and practice by providing tools for audio separation, vocal removal, noise reduction, and mastering. Users can extract vocals, acapella, guitar, piano, bass, drums, and various instruments from song or video files, producing high-quality stems quickly and efficiently. The platform offers a free trial with 20 tokens upon signup, allowing users to experience its capabilities without initial cost. Mikrotakt supports a wide range of audio and video file formats, including MP3, WAV, FLAC, and MP4, ensuring compatibility with most media files. The AI stem splitter enables the precise separation of different musical elements, facilitating remixing, practice, and educational purposes. Additionally, the AI voice cleaner reduces background noise and unwanted sounds, resulting in crystal-clear audio recordings. The AI mastering tool allows users to master their tracks efficiently, enhancing sound quality and readiness.
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Pricing
Starting Price:
$0.14 per minute
Free Version:
Free Version available.
Free Trial:
Free Trial available.
Integrations
Company Information
Gaudio Studio
Founded: 2015
United States
studio.gaudiolab.io
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Product Details
Platforms Supported
Cloud
Training
Documentation
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