Neural Analog Restoration Models

This model was trained to regenerate high-quality music from its low-quality MP3 version. It fills gaps in the spectrogram and restores missing frequencies above 16 kHz. Perfect for your old 128 kbps MP3s downloaded from the internet and lost media.

This instrumental music model generates an AI cover using the input audio as a reference. The settings let you make the result more or less similar to the original. Does not work with singing! Remix your instrumentals, turn noise into musical sounds, and repair low frequencies.

This instrumental music model generates an AI cover using the input audio as a reference. Generations often sound very close to the reference unless you greatly reduce the original's influence. Recommended for improving bass tracks, reconstructing missing notes, and correcting specific artifacts.

This model regenerates high frequencies above the selected cutoff and keeps the original audio below it. The lower the cutoff, the more of the sound it reconstructs. Great for historical recordings, poor-quality recordings, or recordings with unwanted high-frequency noise. It does not change the bass (use an AI cover model instead).

An upgraded version of AudioSR for music, voice, and sound effects. UniverSR reconstructs missing or poor-sounding high frequencies to add brightness. Try it on dull voices, old recordings (such as cassettes), or AI music from SUNO. It does not change the low frequencies (use an AI cover model instead).

This upscaling model was trained on English speech. Use it to remove the walkie-talkie sound from your podcasts, voice-overs, or isolated vocal tracks.

Similar to AudioSR, this model reconstructs high frequencies more quickly. Handy for quickly upscaling audio from 44.1 kHz to 48 kHz. It does not change the low frequencies (use an AI cover model instead).

SUNO tracks often have an unstable tempo, subtly speeding up or slowing down throughout the music. This model detects the tempo and corrects these variations. Ideal before importing a track into a DAW or playing it in a DJ set. Also useful for live recordings. Works best when there are drums: EDM, rock, pop, techno, house, etc.

This model passes the sound through a high-quality encoder-decoder model. The effect is very subtle: it can help correct certain artifacts (especially hi-hats in your drum'n'bass tracks).

Heavily compressed or limited audio sometimes has a waveform that is flat in places (clipping). This digital artifact, caused during recording or mixing, creates unpleasant noise. Use this model to correct it.

Remove hiss, hum, background noise, rumble, or animal and crowd sounds. Choose the variant based on the noise present and the sound you want to keep.

Get a dry sound from a recording drenched in reverb or echo, such as one recorded in a cellar or a church. Also useful for removing the slight echo of a poorly soundproofed room.

Improve your live recordings! Keep the performance and remove audience noise: coughing, whistling, shouting, applause, etc. Use the Before/After slider to control the ambience level.

This model keeps the mono center of a track and removes the content spread across the sides. Handy for isolating a bass, kick drum, or podcast voice. You can also use it to remove phaser, chorus, or flanger from an instrument.

This model dramatically improves speech quality in multiple languages. It recovers high-frequency detail and reduces noise, reverb, and audio defects. For the most difficult restorations of podcasts, voice messages, or singing. Hallucinations are common: use UniverSR or blend with the original audio to improve the result.

An MP3 restoration model specialized in singing. Handy for improving a cappella vocals downloaded as MP3s from the internet or correcting certain compression artifacts.