How to Use AI to Clean Up Audio Recordings

Quick Answer

To use AI to clean up audio recordings, tools like Adobe Podcast Enhance, NVIDIA RTX Voice, and Krisp.ai use machine learning to remove background noise, reduce reverb, and improve vocal clarity in seconds. Most require simply uploading your audio file or routing your microphone through software - no technical audio engineering knowledge needed.

AI audio cleanup has become genuinely accessible in 2026, turning tasks that once required a professional audio engineer and expensive software into processes anyone can do on a laptop in minutes. Whether you are cleaning up a podcast recorded in a noisy SA open-plan office, removing loadshedding generator hum from a Zoom recording, or polishing a voice-over with room echo, AI-powered tools deliver results that were unachievable with simple EQ and noise gates just a few years ago.

Best AI Tools for Cleaning Up Audio Recordings

Adobe Podcast Enhance (now part of Adobe AI tools) remains one of the most impressive free options for uploaded audio files. You upload an MP3 or WAV file and the AI returns a cleaned version with background noise removed and vocal clarity significantly improved - no account required for basic use. NVIDIA RTX Voice and NVIDIA Broadcast offer real-time noise cancellation routed through your microphone, ideal for live calls and recording sessions, but require an NVIDIA GPU. Krisp.ai is a software option that works with any microphone and any platform, inserting itself between your microphone input and any recording or communication app. DaVinci Resolve's built-in dialogue isolation tool (included in the free version) uses AI to separate voices from background noise in post-production, which is particularly useful for video creators editing footage.

How to Use AI Audio Cleanup Step by Step

For a recorded file (podcast, voice-over, interview), the simplest workflow is: export your raw recording as a WAV or high-quality MP3, upload it to Adobe Podcast Enhance or a similar web tool, download the processed result, and import it back into your editing software. The entire process takes under five minutes for most recordings. For real-time cleaning during live calls or recording sessions, install Krisp.ai or NVIDIA Broadcast, select the AI-processed microphone as your input device in your recording software or communication platform, and record as normal. The AI filters noise in real time before it ever reaches the recording. Both approaches handle common SA recording problems well, including traffic noise, dogs barking, generator hum during loadshedding, and air conditioning noise.

What AI Audio Cleanup Cannot Fix

AI tools are excellent at removing consistent background noise and improving vocal intelligibility, but they have limitations worth understanding. Heavily clipped audio (where volume was recorded too loud and the waveform is distorted) cannot be repaired by AI noise removal - the damage is in the signal itself. Extremely reverberant recordings (captured in a large empty room with hard surfaces) can be partially improved but AI tools often introduce artefacts when trying to remove severe reverb. Audio recorded at very low sample rates or high compression settings also limits how much AI processing can recover. The best approach is always to record well and use AI cleanup as a polish step, not a rescue tool.

Frequently Asked Questions

Q: Is Adobe Podcast Enhance free to use? A: Adobe Podcast Enhance offers free processing for uploaded audio files. More advanced features and integration with the full Adobe suite require an Adobe subscription. For occasional podcast or voice cleanup, the free tier is sufficient for most users.

Q: Do I need a high-end PC to use AI audio cleanup tools? A: For cloud-based tools like Adobe Podcast Enhance, any PC with a browser and internet connection works. For real-time tools like NVIDIA RTX Voice, an NVIDIA RTX GPU is required. Krisp.ai runs on CPU and works on most modern laptops without requiring a dedicated GPU.

Q: Can AI audio tools remove loadshedding generator noise from recordings? A: Yes, consistent mechanical noise like a generator hum is exactly the type of background noise AI tools handle best. Upload your recording to a tool like Adobe Podcast Enhance and the generator noise is typically reduced significantly, leaving the voice recording much cleaner.