Every podcast episode, Zoom recording, and voice memo has the same enemy: background noise. Fan hum, keyboard clicks, street traffic, room echo — they all degrade audio quality and make content harder to listen to. Professional tools like Krisp ($8/month), Adobe Enhance ($4.99/month), and NVIDIA RTX Voice (requires an RTX GPU) solve this problem, but they all require either a subscription, a specific hardware setup, or uploading your audio to someone else’s servers. The AllTools AI Noise Canceller uses RNNoise — the same AI technology behind Zoom and Google Meet’s noise suppression — and it runs entirely in your browser.
What Is AI Noise Cancellation?
RNNoise is an open-source noise suppression library originally developed at Mozilla (the makers of Firefox) by Jean-Marc Valin. It uses a recurrent neural network (RNN) — a type of AI that processes audio in sequence, frame by frame — to separate human speech from background noise. The model was trained on thousands of hours of audio containing both clean speech and various types of noise.
Unlike simple noise gates that cut audio below a volume threshold (muting everything during pauses), RNNoise analyzes the frequency spectrum of each 10-millisecond audio frame and selectively removes noise components while preserving voice clarity. This is the same core technology that powers real-time noise suppression in Zoom, Google Meet, and Discord — except here it runs directly in your browser via WebAssembly, with zero audio leaving your device.
What Types of Noise Can It Remove?
RNNoise works best on consistent, non-speech background noise:
- ✅ Fan and air conditioning noise
- ✅ Keyboard and mouse clicks
- ✅ Street and traffic noise
- ✅ Room echo and reverb
- ✅ Microphone hiss and static
- ✅ Background chatter (distant)
- ✅ Wind noise from outdoor recording
- ✅ Electrical hum and buzz
- ❌ Music playing in background (not recommended)
- ❌ Multiple overlapping voices talking simultaneously
The key factor is that your voice should be louder than the noise. RNNoise amplifies the signal-to-noise difference — it cannot recover speech that is completely drowned out by loud noise.
How to Remove Background Noise for Free (Step by Step)
Step 1: Upload Your Audio File
Open the AI Noise Canceller and drag your audio file onto the upload zone, or click to browse. The tool accepts MP3, WAV, M4A, OGG, and WebM formats with no file size limit — processing depends on your device’s memory.
Step 2: Load the AI Model
Click Load AI Model. The 110KB RNNoise model downloads from our CDN and is cached in your browser. This takes less than a second on most connections. After the first download, the model works completely offline — no internet needed for future use.
Step 3: Process Your Audio
Click Remove Noise. The tool decodes your audio, resamples it to 48kHz mono (the format RNNoise expects), and processes every 10-millisecond frame through the neural network. You’ll see a real-time progress bar. Most recordings under 5 minutes process in under 30 seconds.
Step 4: Compare and Download
After processing, you’ll see two audio players side by side — Original and Cleaned. Listen to both to verify the quality improvement, then click Download Cleaned Audio to save the result as a high-quality 48kHz WAV file. If you need MP3, use the Audio Converter to convert it.
Why Your Audio Never Leaves Your Browser
This is the fundamental difference between AllTools and every other noise removal service. When you use Krisp, your audio is sent to their cloud servers for processing. When you use Adobe Enhance, your file is uploaded to Adobe’s infrastructure. Even “free” online tools like Cleanvoice and Podcastle route your audio through their backends.
The AllTools AI Noise Canceller is different: the RNNoise neural network runs as a WebAssembly module inside your browser’s JavaScript engine. The audio file you upload is decoded locally using the Web Audio API, processed frame by frame in your browser’s memory, and the output WAV is generated entirely on your device. At no point does any audio data leave your browser — not even a single sample.
Your audio never leaves your device. This makes it the only noise canceller suitable for truly sensitive recordings: confidential business meetings, medical patient interviews, legal depositions, whistleblower recordings, therapy session notes, and private voice memos.
AllTools AI Noise Canceller vs Krisp vs Adobe Enhance
| Feature | AllTools | Krisp | Adobe Enhance | NVIDIA RTX Voice |
|---|---|---|---|---|
| Price | Free | $8/month | $4.99/month | Free (RTX GPU required) |
| Audio upload | Never | Yes (cloud) | Yes (cloud) | No (local) |
| Works in browser | Yes | No (app) | Yes | No (app) |
| Works offline | Yes (after first load) | No | No | Yes |
| File size limit | None | None | 800MB | None |
| Output format | WAV 48kHz | WAV/MP3 | MP3 | System audio |
| Account required | No | Yes | Yes | Yes |
| Mobile support | Yes | No | Yes | No |
| Privacy | 100% local | Cloud processed | Cloud processed | Local (GPU) |
AllTools AI Noise Canceller vs Krisp vs NVIDIA RTX Voice
| Feature | AllTools | Krisp | NVIDIA RTX Voice |
|---|---|---|---|
| Price | Free forever | $8/month | Free (RTX GPU required) |
| Privacy | Browser-based, no uploads | Cloud servers, data collection | Local GPU processing |
| Installation | None (browser-based) | Desktop app required | App + GPU driver |
| Works on | Any browser (desktop/mobile) | Windows + Mac | Windows only |
| GPU required | No | No | Yes (NVIDIA RTX GPU) |
| Account required | Not required | Yes | NVIDIA account optional |
| Output quality | Good (RNNoise) | Excellent (proprietary AI) | Excellent (GPU-accelerated) |
| Real-time support | Post-processing only | Real-time & post-processing | Real-time only |
| Offline capability | Yes (after model loads) | No (cloud-dependent) | Yes (local processing) |
Best for AllTools: Users who prioritize privacy, want no installation, need browser-based processing, or cannot afford subscriptions. Best for Krisp: Professional teams willing to pay for premium quality and real-time noise suppression during live calls. Best for NVIDIA RTX Voice: Users with NVIDIA RTX GPUs wanting the best real-time quality on Windows.
Best Use Cases
Podcast Recording Cleanup
Recorded a podcast episode in a home office with the AC running? Upload the raw recording, remove the fan noise, and download a clean version. For multi-track podcasts, process each speaker’s track separately for best results. The Audio Trimmer can then cut out dead air and long pauses.
Remote Meeting Recordings
Zoom and Teams recordings often capture participants’ background noise — dogs barking, construction, keyboard typing. Clean up the recording before sharing it with colleagues who missed the meeting. Since the audio never leaves your browser, this is safe for confidential corporate meetings and legal calls.
YouTube and Video Content
Improve voiceover quality recorded on budget microphones or in noisy environments. Process the audio track, then re-combine it with your video. Use Video to MP3 to extract the audio first, clean it, then merge it back in your video editor.
Voice Memos and Field Recording
Journalists recording interviews in cafés, students recording lectures in noisy halls, researchers conducting field interviews — all benefit from post-recording noise removal. The Audio Recorder can capture audio directly in your browser if you don’t have a recording app.
Frequently Asked Questions
What is RNNoise?
RNNoise is an open-source noise suppression library created by Jean-Marc Valin at Mozilla. It uses a recurrent neural network trained to distinguish human speech from background noise. The model processes audio in 10-millisecond frames at 48kHz, making real-time decisions about which frequency components are speech and which are noise. It’s the same technology used inside Zoom, Google Meet, and Discord for their built-in noise suppression features.
Does my audio get uploaded to any server?
No. The RNNoise AI model runs entirely in your browser using WebAssembly — a technology that lets compiled code run at near-native speed in browsers. Your audio file is decoded, processed, and encoded back to WAV without ever touching a network connection. This is verifiable: open your browser’s Network tab while processing and you’ll see zero data uploads.
What types of noise can it remove?
RNNoise excels at steady-state noise: fans, AC, electrical hum, keyboard clicks, traffic, wind, and room reverb. It handles moderately loud background chatter well. It’s less effective against music playing in the background or situations where multiple people are talking simultaneously at similar volume levels.
Why is the output in WAV format?
WAV is uncompressed and lossless — it preserves maximum audio quality after the noise removal process. Lossy formats like MP3 would introduce additional quality degradation on top of the processing. You can always convert the cleaned WAV to MP3 using the Audio Converter if you need a smaller file.
How is this different from Krisp?
Three key differences: First, price — Krisp costs $8/month while this is completely free. Second, privacy — Krisp processes audio on their cloud servers while this tool processes everything locally in your browser. Third, accessibility — Krisp requires installing a desktop app while this works in any modern browser on desktop or mobile.
What AI model does the AllTools noise canceller use?
RNNoise — an open-source recurrent neural network developed by Mozilla for speech separation. RNNoise processes audio in 10-millisecond frames, analyzing the frequency spectrum to isolate speech from noise. It’s the same core technology powering Zoom, Google Meet, and Discord’s built-in noise suppression. The 110KB model runs directly in your browser via WebAssembly, with zero server involvement.
Does it work for music or only speech?
RNNoise is optimized for speech isolation and works best on voice recordings. It’s not suitable for music production — it will distort musical instruments and remove instrumental frequencies. For podcasts, voiceovers, interviews, lectures, and speech-heavy content, it works excellently. For music or mixed audio, consider specialized audio editing software.
Can I use this for live streaming?
The AllTools noise canceller is designed for post-processing: you record audio, upload it, and download the cleaned version. It’s not real-time. For live streaming (Twitch, YouTube Live, etc.), you need real-time noise suppression. Krisp and NVIDIA RTX Voice support real-time processing on live streams and Zoom calls. If you need to clean up recorded stream VODs or podcast episodes after the fact, AllTools works perfectly.
Start Removing Background Noise Now
Ready to clean up your audio recordings? Open the AI Noise Canceller and try it with any noisy recording — the 110KB AI model loads in under a second and works offline after the first download.
After cleaning your audio, explore more audio tools: record audio directly in your browser, convert between audio formats, trim and cut audio clips, or visualize your audio waveform.
Looking for more AI-powered tools? Explore all AI tools →