Restore YouTube MP3 Songs:
Recover Detail From Compressed Audio.

Yes. Humans hear frequencies between 20 Hz to 20 kHz. Low quality audio hardware, like smartphones, can easily play these frequencies.

Unfortunately, hearing degrades with age and with exposure to loud sounds. For example, the famous ultrasound "Mosquitone" (17.8kHz) is clearly audible to younger people, but notoriously difficult to hear for adults.

However, even if not directly heard, high-frequency content is crucial for the transient response and "spatial feel" of audio, which impacts how you perceive quality even if you don't consciously hear a sine wave at that pitch.

Test your hearing to check if you can hear these frequencies.

Simple WAV conversion does not add missing detail. Conversion in tools like Audacity mostly repackages existing samples through interpolation, while True Audio Restoration uses generative AI (similar to image super-resolution) to predict and insert missing detail, recovering dynamic range and "air" lost to compression.

Use Audio Restoration when the source is muffled, bandwidth-limited, clipped, or damaged by lossy compression. Read the MP3 upscaling guide for more context.

Restoration and mastering solve different problems. Many mastering services rely on multiband compression to boost or compress existing frequencies, so mastering without restoration can amplify artifacts instead of fixing the root quality issue.

Once your audio is restored, Automatic Mastering can polish it for professional release, with intelligent loudness optimization tailored to your track.

Audio restoration analyzes spectral content and removes lossy-compression "chirps" and "warbles", replacing them with coherent harmonic content.

If you are deciding what to run first, restore compressed or damaged sources before mastering. If the source already sounds clean and only needs loudness, go straight to Automatic Mastering.

That can happen. Restoration is most useful when the problem is missing bandwidth, clipping, hiss, or lossy-compression artifacts. If the original already has the tone you like, keep the original version in Studio and compare it with the restored version before downloading.

If the problem is arrangement, bass balance, a specific noisy layer, or one bad instrument, try stem splitting, EQ, Match EQ, or mastering instead.

No, it does not just add noise. Unlike enhancers that layer white noise, the generative model reconstructs the clean signal that should be there by separating useful harmonic and transient structure from compression artifacts and other degradations.

For more examples, open Audio Restoration.

You can restore audio for free on a sample. Full files use processing minutes because restoration runs GPU models. Your included processing minutes are used first, then any extra processing minutes.

Plan limits and included minutes are listed on the pricing page.

Yes, restoration can work on old codecs and low bit-depth audio after the file is decoded into an audio signal. Results depend on how much usable information remains in the source.

Try a short sample with Audio Restoration. For retro game and sound-effect material, see the UniverSR sound effects guide.

Yes. Support depends on the model. UniverSR, AudioSR, and FlashSR upscale low resolution audio to 48 kHz (super resolution). The 'Music Upscaler' restoration algorithm keeps 48 kHz sources at 48 kHz, and restores 44.1 kHz-or-lower sources at 44.1 kHz.

For the model-level details, read the UniverSR sample-rate guide or compare models in the restoration docs.

Yes, you can run restoration more than once. You can change the selected Source to run another pass on already restored audio, and batch imports support an 'Iterative restoration' toggle that selects the latest restored version of each file.

Do this in Studio by selecting the restored version as the source before running another restoration. Stop when the result improves less than the artifacts it introduces.

A single restoration model may not fix every problem. If the track sounds flat or weak in the low end, try a stem-based pipeline:

1. Split the song using the 4-stem preset.
2. Select the bass stem.
3. Enhance it with Neural Remix.
4. Use EQ to boost or clean the low end if needed.
5. Blend the processed version with the original if the result is too strong.

UniverSR is better for missing high frequencies. Neural Remix and EQ are often better starting points for bass, muddiness, or low-end problems.

Use stem splitting when one part of the song is the problem, and use mastering only after the mix balance is already close.

Some restoration changes happen mostly in very high frequencies, so they may be subtle depending on your hearing, speakers, headphones, and the source file.

You can compare the spectrogram to see what changed. If the source already has enough high-frequency content, or if the problem is mostly bass, arrangement, mixing, or artifacts in the voice, a different tool may be more useful.

Try stem splitting, Neural Remix, EQ, Match EQ, or mastering depending on what you want to fix.

If you are not sure which tool fits the problem, start with the recommended pipeline FAQ.