Audio Normalize
Normalize audio volume to consistent levels.
Drop your Audio file here
or click to browse · max 500 MB
Settings
FFmpeg WASM (~25MB) will be downloaded on first use and cached by your browser.
Audio Normalizer
Normalize audio loudness to industry standards using EBU R128 loudnorm filter. Set target loudness for streaming (-14 LUFS), podcasts (-16 LUFS), or broadcast (-23 LUFS). Ensures consistent volume across tracks.
What is it used for?
- Normalizing podcast episodes to consistent loudness
- Meeting streaming platform loudness requirements (Spotify, Apple Music)
- Preparing audio for broadcast (EBU R128 compliance)
- Making multiple audio tracks the same perceived volume
Step-by-Step Guide
- Upload your audio file
- Select target loudness (-14 LUFS for streaming, -16 for podcasts, -23 for broadcast)
- Click 'Convert to .MP3'
- Preview the normalized audio
- Download the result
How it works
Upload an audio file, select your target loudness, and click Convert. FFmpeg's loudnorm filter analyzes the audio and adjusts levels to match the target LUFS with proper loudness range and true peak limiting.
Tips & Best Practices
- -14 LUFS is the standard for Spotify, YouTube, and most streaming platforms
- -16 LUFS is recommended for podcasts
- -23 LUFS is the EBU R128 standard for European broadcast
Frequently Asked Questions
What is LUFS?
LUFS (Loudness Units Full Scale) is the standard measurement for audio loudness. -14 LUFS is the standard for Spotify and YouTube, -16 for podcasts, -23 for European broadcast.
Will this clip or distort my audio?
The loudnorm filter includes true peak limiting (TP=-1 dBFS) to prevent clipping. It adjusts overall loudness without causing distortion.
Privacy & Security
This tool uses FFmpeg compiled to WebAssembly (WASM). The WASM binary (~25MB) is downloaded from a CDN on first use and cached by your browser. All file processing happens locally on your device - your files are never uploaded to any server. This makes it safe for sensitive, private, or confidential media files. Large files may take longer to process depending on your device's CPU and available memory.