Splitter.ai uses AI to isolate instruments and vocals from music tracks, allowing for easy stem extraction and remixing.
Splitter.ai is an AI-powered tool that separates audio tracks into individual stems, such as vocals, drums, bass, and other instruments. It leverages Deezer's open-source Spleeter research project to accomplish this, enabling users to isolate specific elements from music. Primarily targeted at musicians, DJs, producers, and audio enthusiasts, Splitter.ai allows for remixing, creating acapellas, instrumentals, or simply studying individual parts of a song. The service offers both free and Pro options, catering to casual users and professionals alike. It offers functionalities like near-perfect 2 stem separation, reverb removal, and direct YouTube splitting, making it a versatile tool for audio manipulation and creative exploration. Splitter.ai provides an easy-to-use interface accessible through its website.
Splitter.
Explore all tools that specialize in isolate vocals from music tracks. This domain focus ensures Splitter.ai delivers optimized results for this specific requirement.
Explore all tools that specialize in separate instruments from audio files. This domain focus ensures Splitter.ai delivers optimized results for this specific requirement.
Explore all tools that specialize in create acapella versions of songs. This domain focus ensures Splitter.ai delivers optimized results for this specific requirement.
Explore all tools that specialize in generate instrumental versions of songs. This domain focus ensures Splitter.ai delivers optimized results for this specific requirement.
Explore all tools that specialize in remove reverb from audio. This domain focus ensures Splitter.ai delivers optimized results for this specific requirement.
Explore all tools that specialize in split audio from youtube videos. This domain focus ensures Splitter.ai delivers optimized results for this specific requirement.
Utilizes AI models trained on extensive music datasets to isolate vocals and instruments into two separate stems with high accuracy.
Employs AI algorithms to identify and reduce reverb present in audio tracks, enhancing clarity and dryness.
Enables users to directly input a YouTube video URL and extract stems from the audio track without needing to download the video separately.
Advanced AI models can separate audio into multiple stems (vocals, drums, bass, etc.) offering more granular control over the elements.
Utilizes advanced audio codecs and processing techniques to minimize artifacts and maintain audio fidelity during stem separation.
Visit the Splitter.ai website.
Upload an audio file directly from your computer.
Choose the desired separation type (e.g., 2 stems).
If using YouTube splitting, paste the YouTube video URL.
Wait for the AI to process the audio and separate the stems.
Preview the separated stems.
Download the individual stems in audio format.
All Set
Ready to go
Verified feedback from other users.
"Splitter.ai leverages AI to provide stem separation capabilities, with users having access to both a free and Pro version. The tool allows users to easily isolate instruments and vocals from music tracks."
0Post questions, share tips, and help other users.
Abjad is a Python-based framework that empowers composers to construct complex music notation through iterative and systematic processes, leveraging the LilyPond music engraving software for high-quality output.
Ardour is a digital audio workstation (DAW) that allows users to record, edit, mix, and master audio and MIDI projects with complete control.
Minimalist, loop-based studio for professional-grade music production on mobile devices.
Band-in-a-Box automatically generates complete professional-quality arrangements of piano, bass, drums, guitar, and strings or horns from simple chord progressions.
An instrument designed to overcome creative blocks and accelerate music creation by providing chord-based inspiration and sound design tools.
Hearthis.at is a music community platform for artists to upload, share, and promote their tracks, sounds, and mixes.
