AI Vocal Remover — Remove Vocals From Any Song

Solmi's AI vocal remover splits any song into a clean instrumental and an isolated acapella in seconds. Upload an audio file or paste a song link, then download the instrumental for karaoke or the vocals for remixes, with no software to install. Sign in with a free account to run it: each song uses 10 credits, and free credits refill to 10 every day, enough for one song a day. It works across genres and languages.

Remove vocals free

After you remove the vocals

Once you have the instrumental, split it further into drums, bass, and the other parts with the stem splitter, write your own words for it with the AI lyrics generator, or flip a section backwards with reverse audio. When the cover or remix is finished, design its artwork with the album cover maker.

Learn how to use Ultimate Vocal Remover (UVR5), the free desktop app, and when a browser vocal remover is the easier route.

Frequently Asked Questions

Is Solmi's AI vocal remover free?

Yes, with a free account and no credit card. Each song uses 10 credits, and free credits refill to 10 every day, so you can remove the vocals from one song a day for free. The AI separates the track into a vocals-only (acapella) layer and an instrumental layer you can download.

How do I remove vocals from a song?

Upload an audio file (or paste a song link), and Solmi's AI vocal remover splits it into vocals and instrumental within seconds. Download the instrumental for karaoke or the acapella for remixes — no software to install.

Can I get the acapella (vocals only) as well as the instrumental?

Yes. The vocal remover outputs both stems: a clean instrumental (vocals removed) and an isolated acapella (vocals only). Use whichever your project needs.

What audio formats does the vocal remover support?

MP3, WAV, M4A, AAC, OGG, and FLAC are supported. The separated vocal and instrumental tracks export as standard audio files.

Does the AI vocal remover work on any genre?

Yes — pop, hip-hop, rock, EDM, R&B, and more. The model is trained on a wide range of music, so vocal separation works across genres and languages.

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