ParseForge Scrapers

Audio Noise Remover

parseforge/noise-remover

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Upload an audio file and remove steady background noise automatically. Choose your reduction level and output format, and get back a clean, clear track.

Run this scraper See the API call
Total users
33
Monthly active
1
Total runs
319
Bookmarked
1
Rating
5.0 (2)
Last modified
12 days ago

Overview

ParseForge

Audio Noise Remover

Remove background noise from any audio file automatically. Upload an MP3, WAV, M4A, FLAC, OGG, or AAC file, choose your noise reduction level, and download a clean, clear track. No audio engineering skills required.

Background hiss, wind, traffic, and hum ruin otherwise usable recordings. Audio Noise Remover cleans up your files in one pass, giving you speech and music that sounds like it was recorded in a quiet room. It works on podcasts, interviews, field recordings, video voiceovers, and any other audio you upload.

Who uses it What they use Audio Noise Remover for
Podcasters Clean up remote guest tracks before editing an episode.
Video editors Remove room tone and hum from voiceover recordings.
Journalists Rescue field interviews recorded in windy or crowded places.
Researchers Preprocess recorded calls or meetings for transcription.

What it does

This Actor takes your uploaded audio file, strips out steady background noise, and returns a cleaned version in your chosen format.

  • ๐ŸŽš๏ธ Noise reduction levels: Low, medium, and high let you balance cleanup against original character.
  • ๐Ÿ“ฆ Multiple output formats: Export as MP3, WAV, M4A, FLAC, OGG, or AAC.
  • ๐ŸŽ›๏ธ Quality control: Optionally preserve higher bitrate to keep the cleaned audio crisp.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with Audio Noise Remover data

๐ŸŽ™๏ธ Clean remote podcast recordings.

A podcast producer uploads a guest's track recorded in a noisy home office, runs it on medium reduction, and gets back a track ready for the final mix.

๐Ÿ“น Rescue location video audio.

A video editor uploads interview clips with wind and traffic noise, processes them on high reduction, and syncs the cleaned audio back to the timeline.

๐Ÿ“ Preprocess audio for transcription.

A researcher uploads a batch of recorded research calls, cleans them on low reduction to keep voices natural, then sends the files to a speech-to-text tool.

๐ŸŽต Clean up sample recordings.

A musician uploads a field recording with background hum, processes it on medium, and gets a usable sample without the noise floor.

Why choose this scraper

What you get
No login or API key Upload a file and run. No account setup on a third-party service.
Batch processing Drop in multiple files and get back a cleaned version of each one.
Format conversion built in Remove noise and convert to your editing timeline's format in one step.

How it compares

Audio Noise Remover focuses on cleaning up uploaded audio files, while Video Transcript extracts text from video and audio. They serve different steps in a media workflow.

Feature Audio Noise Remover Video Transcript
Removes background noise from audio Yes, with low, medium, and high reduction levels Not listed
Accepts direct audio file uploads Yes, multiple files per run Yes, audio and video uploads up to 8 GB
Outputs cleaned audio in multiple formats Yes, MP3, WAV, M4A, FLAC, OGG, AAC Not listed
Generates text transcripts Not listed Yes, with timestamps and detected language
Preserves original audio quality option Yes, higher bitrate setting available Not listed

Configure the run

Upload one or more audio files, pick a noise reduction strength and an output format, and the Actor processes each file and returns a download link. The Input tab lists every parameter.

A first run with the defaults:

{
  "audioFileUrl": [
    "https://www.soundhelix.com/examples/mp3/SoundHelix-Song-1.mp3"
  ],
  "outputFormat": "mp3",
  "noiseReductionLevel": "medium",
  "preserveOriginalQuality": true
}

Pricing

Pay-per-result: $0.005 per result collected. You pay only for the results written to your dataset.

Results collected Approximate cost
100 results $0.50
1,000 results $5.00
10,000 results $50.00

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

  1. Create a free Apify account with $5 in credit.
  2. Open the Audio Noise Remover.
  3. Set your inputs and any filters, then click Start.
  4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to Audio Noise Remover through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/noise-remover"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

The processed file still has some background noise.

Try running the file again with a higher noise reduction level. If the noise is not steady (like intermittent clicks or bangs), the Actor may not remove it completely.

The output audio sounds distorted or robotic.

The noise reduction level may be too high for your recording. Reprocess the file on a lower setting, or enable 'Preserve Original Quality' to use a higher bitrate.

My file failed to process.

Check that the file URL is publicly accessible and the format is supported. If the file is very large, try a shorter clip. Corrupt audio files will also fail.

The download link expired.

Download links from Apify runs are available for a limited time. Re-run the Actor with the same input to generate a fresh link.

FAQ

Question Answer
What audio formats can I upload? You can upload MP3, WAV, M4A, FLAC, OGG, AAC, and most other common audio formats. The Actor detects the format automatically.
How long does processing take? Processing time depends on the length of your audio file and the noise reduction level you choose. Most files finish within a few minutes.
Will noise reduction affect the voices or music? Low and medium settings remove steady background noise while keeping voices and music intact. High reduction is more aggressive and may slightly alter the original sound.
Can I process more than one file at a time? Yes. Upload multiple files in the audio file URLs field and the Actor will process each one and return separate download links.
What is the difference between the noise reduction levels? Low removes subtle noise and preserves the most original character. Medium is a balanced setting that works for most recordings. High removes as much noise as possible and works best on very noisy files.
Does this work for live streaming audio? No. This Actor processes uploaded audio files, not live streams. You need a recorded file to upload.
What output formats can I get? You can choose MP3, WAV, M4A, FLAC, OGG, or AAC. The default is MP3.
Will I lose audio quality? You can enable the 'Preserve Original Quality' option to use a higher bitrate. Without it, the Actor uses a standard bitrate to keep file sizes smaller.
Is there a file size limit? The Actor accepts files up to the Apify platform upload limit. Very large files may take longer to process.
Can I use this to remove music and keep only speech? This Actor removes steady background noise like hiss, hum, and wind. It is not a music removal or vocal isolation tool.

Related actors

Browse the full ParseForge collection for more scrapers.

๐Ÿ†˜ Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

โš ๏ธ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by ParseForge. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.

Input

FieldTypeWhat it doesDefault
audioFileUrl required array Upload your audio file here. Supports MP3, WAV, M4A, FLAC, OGG, AAC, and other common audio formats. The file will be processed to remove background noise and improve audio quality. ["https://www.soundhelix.com/examples/mp
outputFormat string (6 options) Choose the format for the processed audio file. The audio will be converted to this format after noise removal. mp3
noiseReductionLevel string (3 options) Select how aggressive the noise reduction should be. Low: Subtle noise removal, preserves more original audio. Medium: Balanced noise reduction (recommended). High: Maximum noise removal, may affect audio quality slightly. medium
preserveOriginalQuality boolean When enabled, uses higher bitrate (192 kbps) to preserve audio quality. When disabled, uses standard bitrate (128 kbps) for smaller file size. true

Pricing

from $2.00 per 1,000 results

Charged forWhat it isPrice each
Actor Start Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event). $0.00005 to $0.00015
result Single result in the default dataset. $0.002 to $0.005

Tiered: the lower figure is the price on a higher Apify plan. Billing and the free credit live on Apify.

API

One POST returns the dataset directly. Same shape for every scraper in the library, so swapping the slug is the only change.

POST ยท run and get results
curl -X POST "https://api.apify.com/v2/acts/parseforge~noise-remover/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "helloWorld": 123
  }'

Examples

Input that runs as-is.

input.json
{
  "helloWorld": 123
}

Reviews

Rated 5.0 out of 5 across 2 reviews. Read them on Apify.

Issues

We build and maintain this scraper, so a problem with it comes to us. Report it on the Apify listing and the thread stays attached to the scraper where the next person can find it: open an issue.

Broken and urgent, or you would rather not post in public? Write to parseforge@protonmail.com and it reaches the people who wrote it.

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