Singkla is described as 'An AI-powered vocal remover that instantly converts YouTube videos into high-quality instrumental MP3s with dynamic lyrics (LRC/KRC)' and is an website in the audio & music category. There are nine alternatives to Singkla, not only websites but also apps for a variety of platforms, including Mac, Windows, Linux and Android apps. The best Singkla alternative is Ultimate Vocal Remover GUI, which is both free and Open Source. Other great sites and apps similar to Singkla are moseca, VocalRemover.org, Lalal.ai and X-Minus.pro.
This application uses state-of-the-art source separation models to remove vocals from audio files. UVR's core developers trained all of the models provided in this package (except for the Demucs v3 and v4 4-stem models).
United Kingdom
Moseca is an open-source web app that utilizes advanced AI technology to separate vocals and instrumentals from music tracks. It also provides an online karaoke experience by allowing you to search for any song on YouTube and remove the vocals.
Italy
EU
Vocal Remover and Isolation. Separate voice from music out of a song free with powerful AI algorithms.
Web-based tool uses machine-learning and neural networks trained on vast databases to accurately separate vocals, accompaniment, and multiple instruments from audio or video, enabling lossless extraction for DJs, producers, and other creative use cases.
Russia
This free online application will help you to remove or isolate vocals from a song using artificial intelligence.
Artificial intelligence meets music! Make karaoke/instrumental and accapella out of any song! PhonicMind lets you remove vocals from music quickly and easily right in your browser.
Stemdeck is a modern stem extraction platform for musicians, producers and hobbyists, designed to isolate vocals, drums, bass, piano and guitar for practice, transcription, remixing, and creative audio workflows through a modern and interactive interface.
Isolating instruments from music is now possible using AI, and Splitter is based on Deezer's open source research project Spleeter to accomplish this.
Processes music into vocals, drums, bass, guitar, piano, other, and instrumental stems in MP3 or WAV formats, using a transformer model with in-house GPUs, no registration, watermark, or daily cap, and deletes uploads after processing for privacy.
