Free Audio Normalizer
Bring a recording to a steady, predictable loudness, such as -16 LUFS for spoken audio.
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How to use this tool
Audio Normalizer measures how loud your recording sounds and adjusts it toward the LUFS target you choose. It uses FFmpeg’s loudnorm filter in your browser and keeps peaks under -1.5 dB so the result doesn’t clip. The output is an MP3 you can compare with the original.
- 01
Click Choose files
Select one audio file or a video with sound, up to 100 MB and 10 minutes.
- 02
Set Target loudness (LUFS)
Keep -16 for podcasts and voiceovers, or type another value between -30 and -5. Numbers closer to zero make the result louder.
- 03
Click Process audio and compare
Play the original and the MP3 at the same device volume to hear the change, then click Download.
LUFS in plain words
LUFS measures loudness the way people hear it, averaged over the whole recording. • Values are negative; closer to zero means louder • -16 LUFS is a common target for podcasts and spoken audio • -14 LUFS is a common reference for music streaming • -23 LUFS is the European broadcast standard (EBU R128)
What the tool changes
• Raises or lowers the overall level toward your target • Keeps true peaks at or below -1.5 dBTP to avoid clipping • Uses a loudness range setting of 11 LU, which can gently even out very quiet and very loud passages • Exports MP3 at 192 kbps, 44.1 kHz, stereo
Normalizing vs. turning up the volume
• A volume slider multiplies the level by a fixed amount and can push peaks into distortion • Loudness normalization aims at how loud the clip sounds overall • Normalizing several clips to the same target makes them sound equally loud side by side • It can’t fix noise, echo or distortion already in the recording
Frequently asked questions
What is an audio normalizer?
An audio normalizer adjusts a recording so its overall loudness matches a target. This one measures loudness in LUFS and uses FFmpeg’s loudnorm filter to reach the value you set. It’s useful when clips from different sources sound too quiet or too loud.
How do I normalize audio online?
1. Click Choose files and select your recording. 2. Enter a value in Target loudness (LUFS), such as -16. 3. Click Process audio. 4. Compare the MP3 with the original and click Download.
What LUFS target should I choose?
Use -16 LUFS for podcasts, voiceovers and other spoken content. Music for streaming is often mastered around -14 LUFS, and broadcast uses -23 or -24 LUFS. When matching several clips, give them all the same target.
Is my audio uploaded?
No. The loudness analysis and processing happen in FFmpeg inside your browser. Your file never goes to SocQ; only the FFmpeg engine is downloaded once from a public CDN and cached.
Is the audio normalizer free, with no watermark?
Yes. The normalizer is free, adds nothing to your audio and has no daily limit. Each file can be up to 100 MB and 10 minutes long.
What format is the normalized file?
You get an MP3 at 192 kbps, 44.1 kHz, stereo, named normalize-audio.mp3. If your editor needs WAV, convert the MP3 with the audio converter afterward.
Will the result hit my target exactly?
The filter works in a single pass, so the result lands near the target rather than exactly on it. Very short clips, near-silent recordings and files with sharp peaks can end up further away. Check with a loudness meter if you need an exact figure.
Why does the tool reject my target value?
Targets must be numbers between -30 and -5 LUFS. Remember the minus sign: typing 16 instead of -16 is out of range. Errors also appear for files over 10 minutes, over 100 MB or without audio.
Does the normalizer work on mobile?
Yes, current Safari on iPhone and Chrome on Android can run it. Loudness processing is demanding, so expect a longer wait on phones, and use a computer for files close to 10 minutes.
Can normalization remove background noise?
No. Raising a quiet recording makes its noise louder too. Clean steady hiss first with the background noise remover, then normalize the cleaned file.
For developers
Research public audio and video
Normalized audio is ready to publish. To see what is performing on YouTube, TikTok and Instagram, SocQ APIs return public videos, posts and available transcripts as structured data; private account analytics aren’t included.
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