Best AI Noise Removal Tools
Eliminate background noise from calls, recordings, and streams in real-time. AI removes dogs barking, keyboard typing, and noisy environments automatically.
By Toolradar Editorial Team · Updated
Krisp leads for real-time noise cancellation on any app with excellent quality and ease of use. NVIDIA RTX Voice offers free GPU-powered noise removal for NVIDIA card owners. Adobe Podcast provides the best post-recording enhancement for free. Utterly delivers solid noise removal with a privacy focus. Choose Krisp for professional reliability, RTX Voice if you have NVIDIA hardware, or Adobe for post-production.
Remote work has made background noise a universal problem. Dogs barking during calls, coffee shop chatter interfering with recordings, mechanical keyboards audible to the entire meeting—these issues affect professionalism and concentration.
AI noise removal has matured from novelty to necessity. Real-time tools run on your device, filtering noise before it reaches your call. Post-production tools clean up recordings. Both use machine learning trained on thousands of noise samples to identify and eliminate unwanted sounds while preserving voice.
What are AI Noise Removal Tools?
AI noise removal tools use machine learning to identify and eliminate unwanted background sounds while preserving the desired audio (usually speech). They operate in two modes: real-time (processing audio during calls or streams) and post-production (cleaning up recorded audio).
The AI is trained to recognize common noises—typing, traffic, HVAC, pets, people—and suppress them while leaving voice intact. Advanced tools even remove echo and enhance voice clarity beyond simple noise removal.
Why AI Noise Removal Tools Matter
Background noise is unprofessional and exhausting. Listeners work harder to understand you, get distracted by interruptions, and form negative impressions of noisy callers. This matters for sales calls, client meetings, podcasts, and any context where audio quality affects perception.
AI noise removal lets you take calls from anywhere without worrying about environment. Coffee shops, home offices with kids, co-working spaces—all become viable work locations. The technology enables location flexibility while maintaining professional audio quality.
Key Features to Look For
How effectively noise is removed without affecting voice
Maintaining natural voice without artifacts
Instant processing for live calls and streams
Works with various communication apps
Resource usage and system impact
Removes noise from both you and callers
Reduces room echo in addition to noise
Key Factors to Consider
Evaluation Checklist
Pricing Overview
NVIDIA RTX Voice (unlimited, requires GPU), Krisp (60 min/day), Adobe Podcast (post-recording)
Krisp Pro ($8/mo unlimited) or Utterly Pro (~$7/mo) for daily remote workers
Krisp Enterprise ($12/user/mo) with admin controls and usage analytics
Top Picks
Based on features, user feedback, and value for money.
Remote workers wanting consistent, professional call quality on any communication app
Users with NVIDIA graphics cards wanting unlimited free noise cancellation
Anyone cleaning up recorded audio after the fact (podcasts, interviews, voiceovers)
Mistakes to Avoid
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Setting noise removal to maximum — aggressive settings create hollow, robotic voice artifacts. Start at moderate levels and increase only if needed.
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Not wearing headphones — speaker audio leaking into your microphone confuses AI noise removal, causing it to cancel parts of the caller's voice
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Using both built-in and external noise removal — running Krisp AND Zoom's built-in noise cancellation simultaneously creates double-processing artifacts. Use one or the other.
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Ignoring the source problem — a $50 directional microphone (Samson Q2U) eliminates most background noise mechanically, reducing how much AI needs to process
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Forgetting to test before important calls — noise cancellation performance varies by noise type. A tool that handles typing perfectly may struggle with construction noise.
Expert Tips
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Always use headphones — this single change eliminates echo and prevents the AI from accidentally canceling the other caller's voice leaking through speakers
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Use Krisp free (60 min) for important calls, RTX Voice for all-day — if you have an NVIDIA GPU, use free RTX Voice for general calls and Krisp for high-stakes meetings
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Test noise removal with a colleague before client calls — ask them to rate your audio quality while you test different noise scenarios
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For recordings, use Adobe Podcast post-processing — it produces better results than real-time tools because it analyzes the entire audio file for context
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Disable noise removal for music or entertainment — AI noise removal can strip interesting ambient sounds and audio character. Turn it off when you want the full audio experience.
Red Flags to Watch For
- !Noticeable voice distortion or hollow sound even on moderate settings — indicates poor AI model that sacrifices quality for noise reduction
- !High CPU usage (>10%) on modern hardware — well-optimized tools like Krisp use ~1-3% CPU
- !No way to disable or adjust intensity — different calls need different levels of noise cancellation
- !Cloud-based real-time processing — for privacy and latency reasons, real-time noise removal should run locally on your device
The Bottom Line
Krisp ($8/mo Pro, free 60 min/day) delivers the most reliable professional noise cancellation for any communication app — the standard for remote work. NVIDIA RTX Voice (free) is an excellent unlimited option for NVIDIA GPU owners. Adobe Podcast Enhance (free) provides the best post-recording cleanup. For most remote workers, start with Krisp's free 60 min/day — if you hit the limit regularly, the $8/mo Pro upgrade easily pays for itself in professionalism.
Frequently Asked Questions
Does AI noise removal affect voice quality?
Quality tools preserve voice well, but aggressive processing can create artifacts—hollow, robotic, or underwater sound. Start with moderate settings and increase only as needed. The best tools maintain voice naturalness while removing noise; cheaper options may trade quality for noise reduction.
Will noise removal work with all communication apps?
Real-time tools like Krisp work as virtual audio devices, compatible with most apps. Some apps (Teams, Zoom) have built-in noise cancellation that can conflict. RTX Voice works with many apps but not all. Check compatibility with your specific tools before relying on noise removal for important calls.
How much computer resources does AI noise removal use?
Varies significantly. Krisp is optimized for low CPU usage (~1-5%). RTX Voice uses GPU, saving CPU but requiring graphics resources. Some tools can use 10%+ CPU, affecting performance. Test during regular workloads to ensure your system handles it without impacting other applications.
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