Audio Restoration

You have a recording that's degraded, damaged, or severely noisy — from old tapes, poor original recording conditions, file corruption, or analog transfer artifacts — and you need to recover usable audio from it.

Audio restoration is the process of recovering or improving audio that has been degraded by noise, distortion, damage, or the passage of time. Modern AI and spectral processing tools have made dramatic restoration possible on recordings that would have been considered unrecoverable 10 years ago. **What audio restoration addresses:** **Background noise and hiss:** Stationary broadband noise from tape hiss, vinyl surface noise, preamp hiss, and room noise. AI tools (Voice Isolate, iZotope RX) and traditional spectral subtraction (ReaFIR, Audacity Noise Reduction) handle this well. **Clicks, pops, and crackles:** Surface damage on vinyl, tape dropout, electrical interference spikes, and digital clipping clicks. iZotope RX De-click and Spectral Repair interpolate over damaged sections. Audacity's Click Removal effect handles mild cases. **Hum and buzz:** Electrical hum at 60Hz/50Hz and harmonics (120Hz, 180Hz, 240Hz). Targeted with notch filters in any DAW. **Distortion and clipping:** Audio recorded at too-high levels creates flat-topped waveforms where the peaks are clipped. Some de-clipper tools (iZotope RX De-clip) can reconstruct clipped peaks, but this is one of the harder restoration challenges. **Reverb and echo:** Room reflections captured in the recording. AI de-reverb tools (iZotope RX Dialogue De-reverb, Acon Digital DeVerberate) reduce reverb in recordings where it was captured rather than added intentionally. **Restoration workflow (general):** 1. Work from a lossless copy (WAV/FLAC) — never process the original 2. Address clipping first (de-clipper) if present 3. Remove tonal hum with notch filters 4. De-click and remove crackles 5. Noise reduction for broadband hiss/noise floor 6. De-reverb if room echo is problematic 7. Normalize output **AI vs traditional tools:** AI restoration tools (Voice Isolate, RX Dialogue De-noise) learn what 'speech' sounds like and separate it from noise holistically. Traditional spectral subtraction (Audacity, ReaFIR) mathematically subtracts a learned noise profile. AI produces better results for complex noise; traditional tools give more manual control and are free.

What You Get:

• Address every restoration problem type: noise, clicks, hum, distortion, reverb
• Correct processing order prevents artifacts from compounding
• Free tools (Audacity, ReaFIR) vs paid AI tools (iZotope RX) — which to use when
• AI restoration now recovers audio that was previously considered unusable