High-Quality AI Audio Stem Splitter

Our tool leverages advanced deep learning models based on Demucs and state‑of‑the‑art post‑production noise suppression techniques to automatically separate your audio into individual stems such as vocals, drums, bass, and instruments.

You can upload your audio in MP3, FLAC & WAV formats. Our system preserves high audio quality during processing.

The 4‑stem mode provides the essential elements (vocals, drums, bass, and instruments), while the 6‑stem mode isolates additional layers for more detailed control in remixing and production.

By combining multiple Demucs variants (such as htdemucs, htdemucs_ft, and htdemucs_6s) with advanced noise suppression tools, our solution delivers highly accurate, professional-quality stems.

We make it simple. Pay monthly for unlimited usage. Each tier gives you access to better quality stems. You also get file storage—we store your original and stems! If you need them later, we’ve got you.

If you cancel your subscription with us then your uploaded tracks will be read only and not downloadable. We will keep your tracks for up to 12 months should you want to rejoin!

Yes! We only support month-to-month, so you can cancel anytime. No contracts. Pure flexibility.

Absolutely. We outsource all payment handling to Stripe, a leading unified global payments infrastructure, and also support PayPal.

We believe you shouldn’t have to reprocess your track again if you’ve already done it with us as a subscriber. We’ll store up to 100 tracks for Pro users and offer unlimited storage for Beast users.

Click Log In in the upper right corner of the Beats to Rap On site. A pop-up window will appear where you can register or log in to an existing account.
When you sign up or sign in via email, you’ll receive a confirmation email from Beats to Rap On.

Select your splitting options, upload yourfile and off you go!

To get the best quality results:

• Upload high-quality files—preferably 320 kbps MP3 or WAV 44.1 kHz, 32‑bit.
• Use tracks where vocals/instruments are clearly separated to avoid overlapping frequencies.
• Take advantage of the preview feature to evaluate quality before full processing.

You can use our Enhanced Processing and De-Echo options to further clean and refine audio quality.
These features are accessible in the settings during upload and preview. Noise Cancelling can also be adjusted to better handle background noise.

Beats to Rap On uses state-of-the-art neural networks that differ by tier. In the Stem Splitter settings, you can test both the latest Pro and Beast networks to see which one delivers the best results for your track. Each model offers different strengths in post-processing and separation fidelity.

We integrate cutting‑edge tools such as rnnoise, DeepFilterNet, and noisereduce to provide robust, real‑time noise suppression capabilities. These workflows ensure your separated stems are clean and production‑ready.

Not for fee users. Is you are a pro or beast user, yes. We do but you can delete them anytime.

Absolutely. Our high‑quality stem separation is designed for both personal and commercial use, making it ideal for remixing, sampling, live performances, and professional music production.

Processing times typically range from 30 seconds to 4 minutes depending on the file size and the selected processing tier. Higher tiers may offer faster speeds.

Our platform offers multiple tiers – Basic, Pro and Studio Pro – each designed to deliver a different level of quality and speed. Choose the tier that best suits your creative and production needs.

While our free service provides high‑quality stem separation for most projects, there may be delays during peak times and some advanced features are reserved for higher tiers.

Our tool is optimized for offline processing, though many artists use the separated stems for live remixing and performance setups. We recommend testing the system in your live environment first.

We welcome your feedback! Please email us at info@beatstorapon.com with your suggestions, questions, or feature requests.