I've been loving the app. The audio restoration works amazing on my suno songs
Fix Podcast Audio:
Improve Speech Clarity.
Fix bad podcast audio instantly. Remove background noise, fix clipping or echo, and transform amateur vocal recordings into studio-level quality with AI.
SELECT RESTORATION TYPE
Upload audio files
Drag & drop or click to browse (multiple files supported)
Supports: MP3, MPEG, MP2, MPGA, WAV, WAV, AIFF, AIF, AIFF, AIF, FLAC, AAC, OGG, OPUS, M4A, MP4, WEBM, WMA, ALAC, AMRMax size: 50MB.
How It Works
Import Audio
Upload your podcast recording (MP3, WAV, M4A, OGG) or noisy speech file.
Neural Enhancement
The AI model removes background noise, reverb, and compression artifacts to rebuild lost voice quality and fullness.
Download WAV
Export a crystal clear, broadcast-ready WAV file of your voice recording.
Clean up podcasts and speech recordings
Transform amateur speech recordings or heavily compressed podcast files back to studio-level clarity.
Example: Podcast Quality Restoration
Upscale English speech and improve audio quality
Use Neural Analog to upscale voice tracks, singing, and speech thanks to the NovaSR model.
Example: Upscaled speech with NovaSR (mono)
Restore voicemail and low-quality voice notes
Remove heavy compression artifacts, background noise, and muffled sounds from phone recordings and voice notes.
Example: Voicemail ASMR Restoration
Remove background noise and restore voice tone
Use stem splitting to separate vocals from background noise, the NovaSR upscaling model to generate missing frequencies, and Match EQ to restore natural tonal balance.
Example: Voice notes with heavy distorsion, phone recording, and background noise
Trusted by 6000+ music lovers
Neural Analog makes me feel like a monkey with an AK-47, in the best way possible
It worked! Well done :) Many thanks :))))
Wow thank you so much i upscale videos and take out live recordings from music because of my autism i hate the crowd
Listen to tracks made by our users
AI audio enhanced with Neural Analog
How does the Speech Enhancement model work?
Speech Recognition Structure
The model is trained on thousands of hours of clean, high-resolution human speech and their degraded counterparts. It understands phonetic pronunciation and vocal traits.
Noise Separation
By analyzing the temporal domain, the algorithm separates unwanted background frequencies, reverb, and hiss from the core vocal recording.
Voice Clarity Optimization
Outputs are optimized to enhance intelligibility. The result is a richer, closer, and much clearer vocal output, eliminating phone microphone tinny sounds or bad room acoustics.
Frequently Asked Questions
Yes. Humans hear frequencies between 20Hz to 20Khz. 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.
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.
That's okay! Restoration is not a silver bullet. Neural Analog offers other tools such as stem splitting and mastering to power your music creation. This enables a hybrid production workflow where you can replace low-quality AI elements entirely.
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.
You can Restore Audio for free on a sample. The models run on beefy GPUs, so for longer audio, you'll need a paid subscription.
Yes, it can work on old codecs and low bit-depth audio. Processing is based on raw signal rather than a specific codec, so trying a sample is the best way to evaluate performance.
Don't settle for bad podcast audio.
Restore your vocal recordings today and offer your listeners studio-quality clarity.