Listen to the examples of noise suppression:
  • Wind Noise
  • Hiss Noise
  • Drill Noise
  • Microphone
  • Air Conditioner
  • Street Noise
  • Door Noise
  • Car Noise
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Before After

Remove Noise for Any User Cases

Podcast
For: podcasters, content creators

Eliminate unwanted noise like hums, buzzes, hissing, or static from recording equipment, background chatter, and ambient sounds to keep your podcast's voiceover crystal-clear and engaging, free from annoying distractions that disrupt the listening experience.

Online Course
For: teachers, educators

Reduce disturbing noise like equipment interference, keyboard, mouse clicks, static, or ambient sounds in online courses, recorded lives, webinars, seminars, and lectures to maintain a clear instructor's voice, ensuring learners stay focused without distractions.

Interview
For: interviewers, journalist

Minimize unwanted noise such as traffic sounds, wind, distant chatter, or equipment handling noise from street interviews to ensure the subject's voice remains clear and intelligible, thereby improving the overall audio quality and delivering a professional interview.

Vlog
For: Vloggers, YouTubers, TikTokers

Remove background noise, such as traffic, wind, hissing, or household sounds, from your daily, travel, food, or lifestyle vlogs and video creations to ensure your audio remains clean and clear, which is essential for maintaining your audience's attention.

Meeting Records
For: businessmen

Eliminate background noise like typing, hums, or ambient chatter from meeting recordings to keep voices clear and the discussion focused. Reducing distractions ensures a more professional quality and makes the content easier to follow for all participants.

Other Records
For: individuals, musicians, etc.

Denoise calls, music creations, and casual clips to minimize audio disturbances and enhance overall sound quality. This process ensures that recordings made by individuals, content creators, social media influencers, and musicians are up to the mark.

Why Choose VideoProc Noise Remover

Automatic Detect & Remove

Advanced techniques like deep neural networks (DNNs) and recurrent neural networks (RNNs) in the background noise remover are used to predict and filter out noise from audio signals. The AI intelligently distinguishes between background noise that should be removed and vocals that need to be preserved, delivering clear audio without distortion or unwanted artifacts.

Dynamically Reduce Different Noise Types

The AI noise reducer effectively tackles a diverse array of noise types, such as white noise, electrical hum, and wind interference. It can manage challenging scenarios, including dynamic environments, unstable frequencies, and low signal-to-noise ratios. It can seamlessly filter out complex background noises like conversations, car horns, and random clicks, delivering clear and balanced audio.

Support All Video/Audio Formats

VideoProc Converter AI supports 370+ video/audio formats and codecs. The input video formats can be MP4, MOV, MKV, WMV, FLV, HEVC, VP9, AV1, and the videos recorded by any device. The input audio formats can be MP3, M4A, WAV, OGG, FLAC, AIFF, WMA, AAC, etc. That’s to say, virtually any of your video or audio can be processed by the Noise Suppression.

Batch Processing

VideoProc's AI background noise removal software supports batch processing, allowing you to efficiently handle multiple audio and video files simultaneously. It is significantly faster and more stable than online noise removal tools.

We Are Proud of These Numbers

4.7

million+ users

No.1

Fast Converter

1000+

Batch Processing

How to Remove Background Noise in 3 Steps

VideoProc Removes Background Noise - Step 1 VideoProc Removes Background Noise - Step 2 VideoProc Removes Background Noise - Step 3
  • Step 1. Add Video/Audio Files

    Go to Audio AI in VideoProc. Import your videos/audio files by dragging or through "Add Media".

  • Step 2. Apply Noise Suppression

    Tick Noise Suppression and choose an AI model. You can use the default settings or fine-tune the parameters.

  • Step 3. Hit Run

    After all settings, click on the RUN button to start AI background noise removal.

FAQs

1.What's the difference between the Denoise feature in Toolbox and the new AI noise suppression?

For a video converter to be the best among its peers, the critical criteria to look for are:

The Denoise feature in Toolbox of VideoProc Converter AI uses Low-pass and High-pass filters to reduce wind or other background noises in GoPro and similar videos. The new AI Noise Suppression leverages deep learning algorithms to identify and remove unwanted noise more precisely from audio or video files, providing superior noise recognition and filtering capabilities. So we recommend you use the latter one.

2. How do I adjust the parameters in Noise Suppression? What do they mean?
  • Noise Attenuation Limit (dB): This setting determines the maximum level of noise suppression, measured in decibels (dB), without impacting the main audio. Higher limits remove more noise but can affect sound quality, while lower limits preserve natural audio. A balance between 6-12 dB for light noise reduction and 18-24 dB for moderate reduction is recommended.
  • Post-Filter Threshold: Controls additional noise reduction after initial suppression, setting a limit for filtering residual noise. A lower threshold (0.01-0.02) ensures lighter filtering, preserving natural sound in quiet environments, whereas a higher threshold (0.03-0.05) applies stronger filtering for moderate noise, like background hum or distant chatter.
  • Volume Control: Allows adjustment of audio loudness. If volume decreases after noise reduction, this feature can be used to boost levels for a clearer, more enjoyable listening experience.
3. Should I increase or decrease the volume?

Volume Control lets you adjust the audio loudness. Since noise suppression often reduces the volume, increasing the audio level is usually recommended. However, it's best to compare the difference by toggling the Volume Control on and off, then fine-tune the level as needed.

4. Why does some of the noise still exist after noise suppression?

Background noise can be complex and varied. For instance, some sounds may overlap with the frequencies of the target audio, making it challenging for noise suppression algorithms to distinguish between noise and the desired signal. Additionally, user-configured settings can impact the effectiveness of noise reduction. We recommend fine-tuning the parameters and listening to the differences before exporting the files to achieve the best results.

More Than Noise Cancellation

Digiarty Software, established in 2006, pioneers multimedia innovation with AI-powered and GPU-accelerated solutions. With the mission to "Art Up Your Digital Life", Digiarty provides AI video/image enhancement, editing, conversion, and more solutions. VideoProc under Digiarty has attracted 4.6 million users from 180+ countries.

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