Audio Processing & Conversion
Intermediatev1.0.0
Process audio with FFmpeg — format conversion, normalization, noise reduction, splitting, merging, and metadata management for podcasts, music, and voice content.
Content
Overview
FFmpeg handles every audio task: format conversion, volume normalization, noise reduction, silence detection, stream extraction, and metadata management. Master these patterns for podcast production, music processing, and voice content workflows.
Why This Matters
- -Universal conversion — any audio format to any other
- -Normalization — consistent volume across episodes/tracks
- -Extraction — pull audio from video files
- -Automation — scriptable audio processing pipelines
How It Works
Step 1: Format Conversion
Step 2: Volume Normalization
Step 3: Split and Merge
Step 4: Trim Silence
Best Practices
- -Use
-c:a copywhen only changing container (no quality loss) - -Normalize to -16 LUFS for podcasts, -14 LUFS for music
- -Use Opus for modern applications (best quality per bit)
- -Use FLAC for archival (lossless, smaller than WAV)
- -Always specify sample rate (
-ar 44100) for consistent output
Common Mistakes
- -Re-encoding when stream copy would work (
-c:a copy) - -Not normalizing volume (inconsistent levels between tracks)
- -Using MP3 at < 128kbps (audible quality loss)
- -Lossy-to-lossy conversion (quality degrades each time)
- -Missing metadata in output (
-map_metadata 0to preserve)
FAQ
Discussion
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