AI Noise Removal
Remove background noise from audio in seconds with Meta Research's AI model.
AI Noise Removal
Bad audio ruins good video. A noisy recording, background hum, or wind interference can make otherwise great content unwatchable. ChatCut removes background noise in seconds, not minutes, not with complex settings, just one operation.
Skip the menus. Type what you need. Tell the AI “Remove background noise from my audio” and it’s done.
One Sentence, Clean Audio
Most noise removal tools give you a panel full of sliders: noise floor, reduction strength, frequency bands, attack time, release time. You shouldn’t need an audio engineering degree to clean up a recording.
ChatCut’s noise removal works through the AI agent. It couldn’t be simpler. Say what you want:
- “Remove the background noise”
- “Clean up the audio”
- “Get rid of the fan noise in my recording”
The AI processes your audio and replaces it with a clean version on your timeline. There’s no settings to configure. You don’t need to preview different strength levels.
Identify noisy audio
Any audio on your timeline: recorded interviews, voiceovers, field recordings
Tell the AI
One sentence: 'Remove background noise from my audio'
Processing
Meta Research model processes at ~20x realtime speed (63 sec audio → ~3 sec processing)
Clean result
Denoised audio replaces the original on your timeline, voices preserved clearly
Meta Research Model
ChatCut uses a noise removal model from Meta Research. The technical quality speaks for itself:
- Speed: approximately 20x realtime processing. 63 seconds of audio processes in roughly 3 seconds.
- Quality: PESQ (Perceptual Evaluation of Speech Quality) score of 3.5-4.0 out of 5.0. For context, a PESQ score above 3.5 is considered good to excellent quality.
- Preservation: the model targets background noise while preserving voice clarity, tone, and natural characteristics. It won’t strip life from your audio.
This isn’t a simple high-pass filter or basic noise gate. It’s a trained model that understands the difference between speech and noise. You won’t lose vocal quality in the process.
What It Removes
The AI handles the noise types that actually plague real-world recordings:
- HVAC and fan noise – air conditioning, computer fans, ventilation
- Room tone and hum – electrical hum, refrigerator drone, ambient room noise
- Wind noise – outdoor recording interference
- Traffic and environmental sounds – cars, sirens, construction
- Echo reduction – reverb from untreated rooms
- Keyboard and mouse clicks – common in screen recordings
Background HVAC noise removed from all interview audio clips on timeline. Voice clarity preserved, natural tone maintained. Processed in 4 seconds.
No Daily Limits
Some noise removal tools restrict how many minutes you can process per day, or gate features behind premium tiers. ChatCut charges per operation based on audio length, so you’re free to use it as much as you need.
Process one clip or fifty. Clean up a 30-second social video or a 2-hour podcast. It’s the same tool, same quality, no artificial caps.
| Feature | ChatCut | Adobe Podcast (Enhance Speech) |
|---|---|---|
| Integration | Built into video editor, results on timeline | Standalone web tool, download and reimport |
| Daily limits | None, pay per use | Limited processing per day |
| Processing speed | ~20x realtime (~3 sec for 63 sec audio) | Variable, often slower |
| Video editing | Full editor, noise removal is one step in your workflow | Audio processing only |
| AI agent control | Natural language: 'clean up the audio' | Upload interface |
| Feature | ChatCut | Krisp |
|---|---|---|
| Use case | Post-production noise removal for recordings | Real-time noise cancellation for calls |
| Post-production | Yes, process any recorded audio | No, real-time only |
| Editor integration | Direct timeline processing | Not designed for video editing |
| Processing quality (PESQ) | 3.5-4.0 | Optimized for real-time, not archival quality |
| Batch processing | Process multiple clips at once | Single stream only |
You Describe the Edit. ChatCut Executes It.
Noise removal fits naturally into your editing workflow. Here’s how you can combine it with other operations:
“Clean up the audio, add captions, and generate background music at 15% volume.”
The AI processes the noise removal first (because AI captions depend on clean audio), then generates captions from the cleaned transcript, then adds background music. Correct order, one instruction.
Noise removed from 3 interview clips (processed in 8 seconds total), captions generated from cleaned audio with Netflix preset applied
When to Use AI Noise Removal
- Home office recordings – clean up fan, HVAC, and room noise from remote recordings
- Field interviews – remove wind and environmental noise from on-location shoots
- Screen recordings – eliminate keyboard clicks and background hum
- Podcast episodes – clean up multi-person recordings with varying audio quality
- Webinar repurposing – make recorded webinars sound professional for on-demand viewing
- Old recordings – restore audio from archival footage with background noise issues
If you’ve ever trashed a recording because the audio was too noisy, this tool would’ve saved it. Clean audio in seconds, that’s all there’s to it.