Music Loudness (LUFS) Analyzer

Analyze loudness in LUFS, preview a normalized version, and export audio ready for streaming platforms or podcasts.

Tip: Your data stays in your browser.

WAV, AIFF, MP3, or M4A. Up to 15 minutes. Processed 100% in your browser.

Tip: drag a file onto this box or browse to select from your computer.

Drop audio up to 15 minutes (≈100 MB) to get started.
Examples

Loudness target

Choose the platform you’re delivering to. Targets are integrated LUFS.

Target: -14.0 LUFS · True-peak ceiling: -1.0 dBTP

Adjust gain if the normalized true peak would exceed the ceiling. Keeps exports delivery-safe.

Export sample rate

Applies to WAV, MP3, and WebM downloads.

Export bit depth

Bit depth applies to WAV exports.

Share & session

Share links include your settings only — audio never leaves the browser.

Analysis overview

Integrated LUFS, loudness range, and true-peak estimates per BS.1770-style gating.

Upload audio and run the analysis to see integrated loudness, loudness range, and true peak.

Preview & waveform

A/B the original and normalized mix. Playback uses a temporary WAV that stays local to this tab.

Run the analysis to hear the before/after preview.

Exports

Download the corrected audio in lossless WAV or shareable WebM (Opus) using your chosen sample rate & bit depth.

All exports use your chosen sample rate. WAV uses PCM 24-bit, MP3 is encoded at 192 kbps, and WebM uses Opus at 160 kbps.

Normalization recipe

Copy the loudnorm settings and export tips for your session notes.

Run an analysis to generate a recipe with loudnorm command and export tips.

FAQs

  • Which loudness targets are included?
    Pick from YouTube/streaming (−14 LUFS), Spotify, Apple Music, Tidal, Amazon, SoundCloud, podcast (−16 LUFS), audiobook (−18 LUFS), broadcast (−23 LUFS), or set a custom target.
  • Can I preview before I download?
    Yes. After analysis you can A/B the original and normalized audio right in the browser before exporting.
  • Do you store my audio?
    No. The entire LUFS analysis and normalization happen locally in your browser, and share links only include your settings.
  • What formats can I export?
    Export lossless WAV in 16-bit or 24-bit PCM at 44.1 or 48 kHz, grab an MP3 (192 kbps), or download an Opus WebM (160 kbps) for quick sharing.
  • How accurate is the measurement?
    The tool follows a BS.1770-style approach with gating and true-peak estimation. For critical mastering you can still cross-check in your DAW.
  • What are the limits?
    Upload up to ~15 minutes (around 100 MB). Longer sessions take longer to render, especially on mobile.

Guides

Convert 16:9 to 9:16 Without Cropping (ffmpeg) (2025)
Transform horizontal video into vertical format using ffmpeg—with pad-vs-crop strategies, copy-ready commands, quality presets, and workflows that preserve subject framing for Shorts, TikTok, and Reels.
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Target LUFS for YouTube, TikTok, and Spotify (2025)
Hit platform loudness targets without clipping—with integrated LUFS benchmarks, true peak guards, and fast normalization workflows using the LUFS Analyzer for YouTube, TikTok, Spotify, and podcasts.
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Normalize to −14 LUFS Fast: Step-by-Step Recipe (2025)
Fast, practical workflow to normalize audio to −14 LUFS using the LUFS Analyzer—with measurement, preview, export, and quality checks that take 3 minutes.
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Pad vs Crop: How to Choose the Right Aspect Ratio Strategy (2025)
Decision framework for choosing between padding and cropping when converting aspect ratios—with platform-specific guidance, content type recommendations, and quality preservation strategies using Aspect Ratio Converter.
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Avoid Clipping: Loudness vs Peak Levels Explained (2025)
Understand why loud audio clips and how to hit target LUFS without distortion—essential for clean uploads to YouTube, TikTok, and streaming platforms.
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Mobile-First Mixing: EQ and Leveling Tips for Creators (2025)
Master EQ and level balancing for mobile playback—with frequency sweet spots, phone speaker limitations, and practical mixing checks using LUFS Analyzer for YouTube, TikTok, and Instagram.
Read →