Claude-skill-registry ffmpeg-audio-processing

Complete audio encoding and normalization system. PROACTIVELY activate for: (1) Audio codec selection (AAC, MP3, Opus, FLAC), (2) Loudness normalization (EBU R128, loudnorm), (3) Audio extraction from video, (4) Format conversion, (5) Volume adjustment and dynamics, (6) Noise reduction and EQ, (7) Channel operations (stereo/mono/surround), (8) Sample rate and bit depth conversion, (9) Audio fade in/out and crossfades, (10) Podcast and broadcast processing chains. Provides: Codec comparison tables, loudness standards reference, two-pass normalization scripts, professional mastering chains. Ensures: Broadcast-compliant audio with proper loudness and quality.

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/ffmpeg-audio-processing" ~/.claude/skills/majiayu000-claude-skill-registry-ffmpeg-audio-processing && rm -rf "$T"
manifest: skills/data/ffmpeg-audio-processing/SKILL.md
source content

CRITICAL GUIDELINES

Windows File Path Requirements

MANDATORY: Always Use Backslashes on Windows for File Paths

When using Edit or Write tools on Windows, you MUST use backslashes (

\
) in file paths, NOT forward slashes (
/
).


Quick Reference

TaskCommand
Extract audio
ffmpeg -i video.mp4 -vn -c:a copy audio.m4a
Convert to MP3
ffmpeg -i input.flac -c:a libmp3lame -q:a 2 output.mp3
Normalize (EBU R128)
-af loudnorm=I=-23:LRA=7:TP=-2
Podcast standard
-af loudnorm=I=-16:TP=-1.5
Adjust volume
-af "volume=1.5"
or
-af "volume=6dB"
Mono to stereo
-ac 2
CodecRecommended BitrateUse Case
AAC128-192k (music), 64k (speech)Streaming, mobile
MP3192-320k (music), 128k (speech)Universal compatibility
Opus96-128k (music), 48k (speech)WebM, VoIP, modern

When to Use This Skill

Use for audio-focused operations:

  • Extracting audio from video files
  • Loudness normalization for broadcast/streaming compliance
  • Podcast and audiobook processing
  • Audio format conversion
  • Audio effects (EQ, compression, noise reduction)

FFmpeg Audio Processing (2025)

Complete guide to audio encoding, normalization, and professional audio workflows with FFmpeg.

Audio Codec Reference

Codec Comparison

CodecEncoderBitrate RangeQualityCompatibilityUse Case
AACaac, libfdk_aac64-320 kbpsExcellentUniversalStreaming, mobile
MP3libmp3lame96-320 kbpsGoodUniversalLegacy, podcasts
Opuslibopus32-256 kbpsBestModernVoIP, WebM
FLACflac~900 kbpsLosslessWideArchival
ALACalac~900 kbpsLosslessAppleApple ecosystem
Vorbislibvorbis64-500 kbpsVery GoodWideWebM, games
AC3ac3192-640 kbpsGoodUniversalDVD, Blu-ray
EAC3eac3192-768 kbpsVery GoodWideStreaming
xHE-AAC- (decode only)12-64 kbpsExcellentEmergingUltra-low bitrate

Recommended Bitrates

Use CaseAACMP3Opus
Podcast/Speech64-96k96-128k48-64k
Music (Standard)128-192k192-256k96-128k
Music (High Quality)256-320k320k160-256k
Transparent Quality256k+320k192k+

Basic Audio Operations

Extract Audio

# Extract to original format (no re-encode)
ffmpeg -i video.mp4 -vn -c:a copy audio.m4a

# Extract to MP3
ffmpeg -i video.mp4 -vn -c:a libmp3lame -b:a 320k audio.mp3

# Extract to AAC
ffmpeg -i video.mp4 -vn -c:a aac -b:a 256k audio.m4a

# Extract to FLAC (lossless)
ffmpeg -i video.mp4 -vn -c:a flac audio.flac

# Extract to WAV (uncompressed)
ffmpeg -i video.mp4 -vn -c:a pcm_s16le audio.wav

Convert Audio Formats

# MP3 to AAC
ffmpeg -i input.mp3 -c:a aac -b:a 256k output.m4a

# WAV to MP3
ffmpeg -i input.wav -c:a libmp3lame -b:a 320k output.mp3

# FLAC to MP3
ffmpeg -i input.flac -c:a libmp3lame -b:a 320k output.mp3

# Multiple files (batch)
for f in *.flac; do
  ffmpeg -i "$f" -c:a libmp3lame -b:a 320k "${f%.flac}.mp3"
done

Quality Settings

# AAC VBR quality (1-5, higher = better)
ffmpeg -i input.wav -c:a aac -q:a 2 output.m4a

# MP3 VBR quality (0-9, lower = better)
ffmpeg -i input.wav -c:a libmp3lame -q:a 0 output.mp3

# Opus with target bitrate
ffmpeg -i input.wav -c:a libopus -b:a 128k output.opus

Audio Normalization

Loudness Standards

StandardTargetTP (True Peak)Use Case
EBU R128-23 LUFS-1 dBTPEuropean broadcast
ATSC A/85-24 LKFS-2 dBTPUS broadcast
Spotify-14 LUFS-1 dBTPStreaming
YouTube-14 LUFS-1 dBTPVideo platform
Apple Music-16 LUFS-1 dBTPMusic streaming
Podcast-16 to -19 LUFS-1 dBTPPodcast

EBU R128 Normalization (loudnorm)

Single-Pass (Live/Real-time)

# Quick normalization (less accurate)
ffmpeg -i input.mp3 \
  -af loudnorm=I=-16:TP=-1.5:LRA=11 \
  output.mp3

Two-Pass (Recommended)

# Pass 1: Analyze
ffmpeg -i input.mp3 \
  -af loudnorm=I=-16:TP=-1.5:LRA=11:print_format=json \
  -f null -

# Output will include:
# "input_i": "-25.23"
# "input_tp": "-0.50"
# "input_lra": "8.32"
# "input_thresh": "-35.87"
# "target_offset": "1.23"

# Pass 2: Normalize with measured values
ffmpeg -i input.mp3 \
  -af loudnorm=I=-16:TP=-1.5:LRA=11:measured_I=-25.23:measured_TP=-0.50:measured_LRA=8.32:measured_thresh=-35.87:offset=1.23:linear=true \
  -ar 48000 \
  output.mp3

Two-Pass Script

#!/bin/bash
# loudnorm-2pass.sh

INPUT="$1"
OUTPUT="$2"
TARGET_I="${3:--16}"
TARGET_TP="${4:--1.5}"
TARGET_LRA="${5:-11}"

# Pass 1: Analyze
stats=$(ffmpeg -i "$INPUT" \
  -af loudnorm=I=${TARGET_I}:TP=${TARGET_TP}:LRA=${TARGET_LRA}:print_format=json \
  -f null - 2>&1 | grep -A 12 "Parsed_loudnorm")

# Extract values
input_i=$(echo "$stats" | grep input_i | tr -d '", ' | cut -d':' -f2)
input_tp=$(echo "$stats" | grep input_tp | tr -d '", ' | cut -d':' -f2)
input_lra=$(echo "$stats" | grep input_lra | tr -d '", ' | cut -d':' -f2)
input_thresh=$(echo "$stats" | grep input_thresh | tr -d '", ' | cut -d':' -f2)
offset=$(echo "$stats" | grep target_offset | tr -d '", ' | cut -d':' -f2)

# Pass 2: Normalize
ffmpeg -i "$INPUT" \
  -af "loudnorm=I=${TARGET_I}:TP=${TARGET_TP}:LRA=${TARGET_LRA}:measured_I=${input_i}:measured_TP=${input_tp}:measured_LRA=${input_lra}:measured_thresh=${input_thresh}:offset=${offset}:linear=true" \
  -ar 48000 \
  "$OUTPUT"

Peak Normalization

# Normalize to peak level
ffmpeg -i input.mp3 \
  -af "volume=0dB:eval=once:precision=fixed" \
  -af "loudnorm=I=-16:TP=-1:LRA=11" \
  output.mp3

# Simple peak normalization
ffmpeg -i input.mp3 \
  -filter:a "volume=replaygain=peak" \
  output.mp3

RMS Normalization

# Normalize to specific RMS level
ffmpeg -i input.mp3 \
  -af "loudnorm=I=-23:LRA=7:TP=-2" \
  output.mp3

ffmpeg-normalize Tool

The

ffmpeg-normalize
Python utility provides an easier interface:

# Install
pip install ffmpeg-normalize

# Basic usage
ffmpeg-normalize input.mp3 -o output.mp3

# Custom target
ffmpeg-normalize input.mp3 -o output.mp3 -t -14

# Batch normalize (album mode - preserves relative loudness)
ffmpeg-normalize *.mp3 --batch -o normalized/

# Use built-in presets (v1.36.0+)
ffmpeg-normalize input.mp3 --preset podcast -o output.mp3
ffmpeg-normalize *.mp3 --preset music --batch -o normalized/

Audio Filters

Volume Control

# Increase volume by 50%
ffmpeg -i input.mp3 -af "volume=1.5" output.mp3

# Increase by 6dB
ffmpeg -i input.mp3 -af "volume=6dB" output.mp3

# Decrease by 3dB
ffmpeg -i input.mp3 -af "volume=-3dB" output.mp3

Fade In/Out

# Fade in 3 seconds, fade out last 3 seconds
ffmpeg -i input.mp3 \
  -af "afade=t=in:ss=0:d=3,afade=t=out:st=57:d=3" \
  output.mp3

# Calculate fade out start automatically
duration=$(ffprobe -v error -show_entries format=duration -of default=noprint_wrappers=1:nokey=1 input.mp3)
fadeout_start=$(echo "$duration - 3" | bc)
ffmpeg -i input.mp3 \
  -af "afade=t=in:ss=0:d=3,afade=t=out:st=${fadeout_start}:d=3" \
  output.mp3

Equalization

# Bass boost
ffmpeg -i input.mp3 \
  -af "equalizer=f=100:width_type=o:width=2:g=5" \
  output.mp3

# Treble reduction
ffmpeg -i input.mp3 \
  -af "equalizer=f=8000:width_type=o:width=2:g=-3" \
  output.mp3

# Multi-band EQ
ffmpeg -i input.mp3 \
  -af "equalizer=f=100:width_type=o:width=2:g=3,equalizer=f=1000:width_type=o:width=2:g=-2,equalizer=f=8000:width_type=o:width=2:g=2" \
  output.mp3

High-Pass / Low-Pass Filters

# High-pass filter (remove below 80Hz)
ffmpeg -i input.mp3 -af "highpass=f=80" output.mp3

# Low-pass filter (remove above 8kHz)
ffmpeg -i input.mp3 -af "lowpass=f=8000" output.mp3

# Band-pass filter
ffmpeg -i input.mp3 -af "highpass=f=80,lowpass=f=12000" output.mp3

Noise Reduction

# FFT-based noise reduction
ffmpeg -i input.mp3 \
  -af "afftdn=nf=-25" \
  output.mp3

# With noise floor adjustment
ffmpeg -i input.mp3 \
  -af "afftdn=nf=-20:tn=1" \
  output.mp3

Compressor / Limiter

# Dynamic range compression
ffmpeg -i input.mp3 \
  -af "acompressor=threshold=-20dB:ratio=4:attack=5:release=50" \
  output.mp3

# Limiter
ffmpeg -i input.mp3 \
  -af "alimiter=limit=0.9:attack=5:release=50" \
  output.mp3

# De-esser
ffmpeg -i input.mp3 \
  -af "deesser=i=0.4:f=4000:w=0.5" \
  output.mp3

Silence Detection/Removal

# Detect silence
ffmpeg -i input.mp3 \
  -af silencedetect=noise=-30dB:d=0.5 \
  -f null -

# Remove silence
ffmpeg -i input.mp3 \
  -af "silenceremove=start_periods=1:start_silence=0.5:start_threshold=-50dB:stop_periods=1:stop_silence=0.5:stop_threshold=-50dB" \
  output.mp3

Channel Operations

Stereo to Mono

# Average both channels
ffmpeg -i stereo.mp3 \
  -af "pan=mono|c0=0.5*c0+0.5*c1" \
  mono.mp3

# Use only left channel
ffmpeg -i stereo.mp3 -af "pan=mono|c0=c0" mono.mp3

# Downmix stereo to mono
ffmpeg -i stereo.mp3 -ac 1 mono.mp3

Mono to Stereo

# Duplicate mono to both channels
ffmpeg -i mono.mp3 -af "pan=stereo|c0=c0|c1=c0" stereo.mp3

# Simple conversion
ffmpeg -i mono.mp3 -ac 2 stereo.mp3

Extract Specific Channels

# Extract left channel
ffmpeg -i stereo.mp3 \
  -filter_complex "[0:a]channelsplit=channel_layout=stereo:channels=FL[left]" \
  -map "[left]" left.mp3

# Extract right channel
ffmpeg -i stereo.mp3 \
  -filter_complex "[0:a]channelsplit=channel_layout=stereo:channels=FR[right]" \
  -map "[right]" right.mp3

5.1 Surround Operations

# Downmix 5.1 to stereo
ffmpeg -i surround.ac3 \
  -af "pan=stereo|FL=0.5*FC+0.707*FL+0.707*BL+0.5*LFE|FR=0.5*FC+0.707*FR+0.707*BR+0.5*LFE" \
  stereo.mp3

# Extract center channel
ffmpeg -i surround.ac3 \
  -filter_complex "[0:a]channelsplit=channel_layout=5.1:channels=FC[center]" \
  -map "[center]" center.mp3

Sample Rate & Bit Depth

Sample Rate Conversion

# Convert to 44.1kHz
ffmpeg -i input.wav -ar 44100 output.wav

# Convert to 48kHz
ffmpeg -i input.wav -ar 48000 output.wav

# High-quality resampling
ffmpeg -i input.wav \
  -af "aresample=resampler=soxr:precision=33:cheby=1" \
  -ar 44100 output.wav

Bit Depth Conversion

# Convert to 16-bit
ffmpeg -i input.wav -c:a pcm_s16le output.wav

# Convert to 24-bit
ffmpeg -i input.wav -c:a pcm_s24le output.wav

# Convert to 32-bit float
ffmpeg -i input.wav -c:a pcm_f32le output.wav

Speed & Pitch

Speed Change (Affects Pitch)

# 2x speed (chipmunk effect)
ffmpeg -i input.mp3 -af "atempo=2.0" output.mp3

# 0.5x speed (slow motion)
ffmpeg -i input.mp3 -af "atempo=0.5" output.mp3

# For >2x, chain filters
ffmpeg -i input.mp3 -af "atempo=2.0,atempo=2.0" output.mp3  # 4x

Pitch Change (Preserves Speed)

# Pitch shift using rubberband
ffmpeg -i input.mp3 \
  -af "rubberband=pitch=1.5" \
  output.mp3

# Pitch shift semitones
ffmpeg -i input.mp3 \
  -af "asetrate=44100*2^(2/12),aresample=44100" \
  output.mp3  # +2 semitones

Trimming & Concatenation

Trim Audio

# Extract 30 seconds starting at 1 minute
ffmpeg -ss 00:01:00 -i input.mp3 -t 00:00:30 -c copy output.mp3

# Extract from 1:00 to 2:30
ffmpeg -ss 00:01:00 -to 00:02:30 -i input.mp3 -c copy output.mp3

Concatenate Audio

# Create file list
echo "file 'part1.mp3'" > list.txt
echo "file 'part2.mp3'" >> list.txt

# Concatenate (same format)
ffmpeg -f concat -safe 0 -i list.txt -c copy output.mp3

# Concatenate with re-encode
ffmpeg -f concat -safe 0 -i list.txt -c:a aac -b:a 256k output.m4a

Crossfade

# Crossfade two files (3 second overlap)
ffmpeg -i part1.mp3 -i part2.mp3 \
  -filter_complex "acrossfade=d=3:c1=tri:c2=tri" \
  output.mp3

Professional Workflows

Podcast Processing

# Complete podcast processing chain
ffmpeg -i raw_podcast.wav \
  -af "highpass=f=80,\
       acompressor=threshold=-20dB:ratio=4:attack=5:release=50,\
       loudnorm=I=-16:TP=-1.5:LRA=11,\
       silenceremove=start_periods=1:start_silence=1:start_threshold=-50dB" \
  -c:a aac -b:a 96k \
  podcast.m4a

Music Mastering Chain

# Mastering chain
ffmpeg -i mix.wav \
  -af "equalizer=f=60:width_type=o:width=1:g=1,\
       equalizer=f=12000:width_type=o:width=1:g=0.5,\
       acompressor=threshold=-12dB:ratio=2:attack=20:release=200,\
       alimiter=limit=0.95,\
       loudnorm=I=-14:TP=-1:LRA=9" \
  -c:a flac \
  master.flac

Broadcast Normalization

# EBU R128 broadcast compliance
ffmpeg -i input.wav \
  -af "loudnorm=I=-23:TP=-1:LRA=11:dual_mono=true" \
  -ar 48000 \
  -c:a pcm_s24le \
  broadcast.wav

Troubleshooting

Common Issues

"loudnorm resamples to 192kHz"

# Force output sample rate
ffmpeg -i input.mp3 \
  -af loudnorm=I=-16:TP=-1.5:LRA=11 \
  -ar 48000 \
  output.mp3

Audio/video sync after processing

# Maintain sync with video
ffmpeg -i video.mp4 \
  -af "loudnorm=I=-16:TP=-1.5:LRA=11,aresample=async=1" \
  -c:v copy \
  output.mp4

Quality loss from re-encoding

  • Use lossless intermediate format (FLAC, WAV)
  • Avoid multiple lossy conversions
  • Use high bitrates for final lossy encode

Audio Analysis & Measurement

Audio Statistics (astats)

Measure comprehensive audio statistics including RMS, peak levels, crest factor, bit depth, and DC offset.

# Full audio statistics
ffmpeg -i input.mp3 -af "astats=metadata=1:reset=1" -f null -

# Output includes:
# - RMS level and peak level
# - Crest factor
# - Dynamic range
# - DC offset
# - Min/Max sample values
# - Number of samples

# Per-channel statistics
ffmpeg -i input.mp3 -af "astats=metadata=1:reset=1:measure_perchannel=all" -f null -

# Measure specific metrics
ffmpeg -i input.mp3 -af "astats=measure_overall=RMS_level+Peak_level:reset=1" -f null -

astats Metrics:

MetricDescription
DC_offset
DC bias in signal
Min_level
Minimum sample value
Max_level
Maximum sample value
Min_difference
Minimum sample-to-sample difference
Max_difference
Maximum sample-to-sample difference
Mean_difference
Average sample-to-sample difference
RMS_level
Root Mean Square level (dB)
Peak_level
Peak level (dB)
RMS_peak
RMS peak level
RMS_trough
RMS trough level
Crest_factor
Peak to RMS ratio
Flat_factor
Flatness measure
Peak_count
Number of samples at peak
Bit_depth
Actual bit depth used
Dynamic_range
Dynamic range in dB

EBU R128 Loudness Measurement (ebur128)

Comprehensive loudness measurement per EBU R128 / ITU-R BS.1770 standards.

# Basic loudness measurement
ffmpeg -i input.mp3 -af "ebur128=peak=true" -f null -

# Output includes:
# - Momentary loudness (M)
# - Short-term loudness (S)
# - Integrated loudness (I)
# - Loudness Range (LRA)
# - True Peak (dBTP)

# Frame-by-frame measurement
ffmpeg -i input.mp3 -af "ebur128=framelog=verbose:peak=true" -f null - 2>&1 | grep Summary

# Generate loudness graph (PNG)
ffmpeg -i input.mp3 \
  -filter_complex "ebur128=video=1:meter=18:gauge=1[v];[v]scale=1280:720[out]" \
  -map "[out]" \
  -frames:v 1 \
  loudness_graph.png

# Create loudness monitoring video
ffmpeg -i input.mp3 \
  -filter_complex "ebur128=video=1:meter=18:gauge=1:scale=absolute[v]" \
  -map "[v]" -map 0:a \
  -c:a copy \
  loudness_monitor.mp4

# Measure with dual mono (speech)
ffmpeg -i input.mp3 -af "ebur128=dualmono=1:peak=true" -f null -

ebur128 Parameters:

ParameterDescriptionValues
video
Generate video output0 or 1
meter
Loudness meter level9, 12, 18
gauge
Show gauge overlay0 or 1
scale
Scale type
absolute
,
relative
peak
Measure true peak
true
,
sample
,
none
dualmono
Dual mono mode0 or 1
framelog
Logging level
quiet
,
info
,
verbose

Speech Normalization (speechnorm)

Specialized normalizer for speech content that adapts to dynamic speech patterns.

# Basic speech normalization
ffmpeg -i speech.mp3 -af "speechnorm" output.mp3

# Speech normalization with custom parameters
ffmpeg -i speech.mp3 \
  -af "speechnorm=p=0.95:m=10:r=0.0005:l=1" \
  output.mp3

# Aggressive speech normalization
ffmpeg -i speech.mp3 \
  -af "speechnorm=p=0.9:e=15:r=0.001:l=1" \
  output.mp3

# Podcast processing with speech normalization
ffmpeg -i podcast.wav \
  -af "highpass=f=80,speechnorm=p=0.95:e=12.5:r=0.0005,loudnorm=I=-16:TP=-1.5" \
  -c:a aac -b:a 96k \
  podcast.m4a

speechnorm Parameters:

ParameterDescriptionDefaultRange
p
Peak value target0.950-1
e
Expansion factor12.51-50
r
Rise time (speed of increase)0.00050-1
f
Fall time (speed of decrease)0.0010-1
c
Compression factor00-1
l
Link channels00 or 1

Dialogue Enhancement (dialoguenhance) - FFmpeg 8.0+

Enhance dialogue clarity by separating and boosting voice frequencies.

# Basic dialogue enhancement
ffmpeg -i input.mp4 -af "dialoguenhance" -c:v copy output.mp4

# Custom dialogue enhancement
ffmpeg -i input.mp4 \
  -af "dialoguenhance=original=0.3:enhance=0.7:voice=0.8" \
  -c:v copy output.mp4

# Heavy enhancement for poor recordings
ffmpeg -i input.mp4 \
  -af "dialoguenhance=original=0.2:enhance=0.9" \
  -c:v copy output.mp4

dialoguenhance Parameters:

ParameterDescriptionDefaultRange
original
Original signal mix10-1
enhance
Enhanced signal mix10-1
voice
Voice clarity boost22-32

3D Audio / Binaural (sofalizer)

Apply HRTF (Head-Related Transfer Function) for 3D audio and binaural processing using SOFA files.

# Basic binaural conversion (requires SOFA file)
ffmpeg -i surround.ac3 \
  -af "sofalizer=sofa=/path/to/hrtf.sofa" \
  binaural.mp3

# With custom gain and rotation
ffmpeg -i surround.ac3 \
  -af "sofalizer=sofa=/path/to/hrtf.sofa:gain=0:rotation=0" \
  binaural.mp3

# Binaural conversion with elevation
ffmpeg -i surround.ac3 \
  -af "sofalizer=sofa=/path/to/hrtf.sofa:elevation=0:radius=1" \
  binaural.mp3

SOFA Files:

sofalizer Parameters:

ParameterDescriptionRange
sofa
Path to SOFA file-
gain
Additional gain (dB)-20 to 40
rotation
Head rotation (degrees)-360 to 360
elevation
Head elevation (degrees)-90 to 90
radius
Distance scaling0 to 3
type
Interpolation type
time
,
freq

Volume Detection

# Detect volume levels
ffmpeg -i input.mp3 -af "volumedetect" -f null -

# Output includes:
# - mean_volume (average)
# - max_volume (peak)
# - histogram data

A-Weighting (aweighting)

Apply A-weighting curve for perceived loudness measurement.

# Apply A-weighting filter
ffmpeg -i input.mp3 -af "aweighting" output_aweighted.wav

# Measure A-weighted levels
ffmpeg -i input.mp3 -af "aweighting,astats=measure_overall=RMS_level" -f null -

Audio Fingerprinting (chromaprint)

Generate audio fingerprints for identification.

# Generate chromaprint fingerprint
ffmpeg -i input.mp3 -f chromaprint -fp_format raw fingerprint.txt

# Generate Base64 fingerprint
ffmpeg -i input.mp3 -f chromaprint -fp_format base64 - 2>&1 | grep FINGERPRINT

Complete Analysis Workflow

#!/bin/bash
# audio-analysis.sh - Complete audio analysis

INPUT="$1"

echo "=== Audio Analysis Report ==="
echo "File: $INPUT"
echo ""

echo "--- Basic Statistics ---"
ffmpeg -i "$INPUT" -af "astats=measure_overall=all" -f null - 2>&1 | grep -A 50 "Parsed_astats"

echo ""
echo "--- Loudness (EBU R128) ---"
ffmpeg -i "$INPUT" -af "ebur128=peak=true" -f null - 2>&1 | grep -E "(Summary|I:|LRA:|Peak:)"

echo ""
echo "--- Volume Detection ---"
ffmpeg -i "$INPUT" -af "volumedetect" -f null - 2>&1 | grep -E "(mean_volume|max_volume)"

echo ""
echo "--- Silence Detection ---"
ffmpeg -i "$INPUT" -af "silencedetect=noise=-50dB:d=0.5" -f null - 2>&1 | grep silence

This guide covers FFmpeg audio processing. For video operations, see the fundamentals skill. For noise reduction details, see

ffmpeg-noise-reduction
.