Overview

Requires ffmpeg and ffprobe on PATH. Scripts are Python 3.11+, run via `uv run` (no separate install step).

Recipes

Copy-paste command sequences agents can run via uv run.

Normalize then put audio back on video
uv run scripts/normalize.py --input clip.mp4
Extract clean audio only
uv run scripts/extract.py --input clip.mp4 --output dialogue.wav
Convert for 48 kHz AAC for delivery
uv run scripts/resample.py --input master.wav --sample-rate 48000 --output master_48k.wav
uv run scripts/convert.py --input master_48k.wav --format aac --output master.m4a
Trim a segment and join clips
uv run scripts/trim.py --input intro.wav --start 0 --end 30 --output intro_trim.wav
uv run scripts/trim.py --input outro.wav --start 5 --end 60 --output outro_trim.wav
uv run scripts/concat.py --paths intro_trim.wav outro_trim.wav --output final.wav
Find silence for auto-editing
uv run scripts/silence_detect.py --input podcast.wav

Operations

Each script returns structured JSON — see the script contract.

Op IDScriptCommon flags
audio.concatconcat.py--output
audio.convertconvert.py--input
audio.extractextract.py--input, --output
audio.fadefade.py--input
audio.normalizenormalize.py--input
audio.probeprobe.py--input
audio.resampleresample.py--input
audio.silence_detectsilence_detect.py--input
audio.trimtrim.py--input

Do not use for

  • Probing media metadata (use `inspect`)
  • Video transforms (use `video-transformation`)
  • Speech-to-text (use `speech-captions`)

Related cookbooks