Description
AI Stem Splitter is an online utility that utilizes deep learning models to detach and isolate tracks from a finalized, mixed-down musical piece. It can recognize and separate vocals, drums, bass, piano, guitar, and other sounds by analyzing spectrograms and estimating masks for each instrument to reconstruct isolated audio.
The AI model has been trained on extensive datasets of separated tracks, enabling it to effectively differentiate the spectral and temporal characteristics of various instruments and vocal performances.
The utility accepts multiple file types, including MP3, WAV, FLAC, M4A, and OGG, with a maximum file size of 50MB. AI Stem Splitter is straightforward to use, requires no software installation or account creation, and does not demand advanced audio-engineering knowledge. The separation process is typically completed within one minute.
In addition to isolation, users can preview each separated track within the utility before downloading their chosen stems. Files are handled with security in mind and are automatically removed after processing.
AI Stem Splitter is well-suited for a range of users, including producers, DJs, educators, and content creators who require isolated tracks from pre-existing songs.
Key Features
Separates songs into distinct tracks
Analyzes spectrograms for audio decomposition
Supports high-bitrate lossless audio quality
Operates as a browser-based application
Eliminates the need for installation
Pricing Plans
Releases
Reviews
Pros & Cons
Pros
Separates song components into individual tracks
Employs spectrogram analysis for audio breakdown
Delivers high-bitrate lossless audio output
Cons
File size restricted to 50MB
No available API
Limited to six stems per track
