---
url: https://superduperai.co/library/strip-other-peoples-music-demucs/
title: Strip other people's music before upload with Demucs and ffmpeg
description: Car radio, shop speakers and festival stages trigger Content ID. Split the soundtrack into stems, find the music on drums plus bass, keep the voice, replace the music, rebuild audio only.
category: music
platforms: [youtube, any]
works_with: [ffmpeg, claude-code, manual]
tags: [demucs, stems, content-id, copyright, ffmpeg, stem-split]
difficulty: advanced
verified: false
created: 2026-11-01
skill: stem-split
---

# Strip other people's music before upload with Demucs and ffmpeg

Car radio, shop speakers and festival stages trigger Content ID. Split the soundtrack into stems, find the music on drums plus bass, keep the voice, replace the music, rebuild audio only.

## Prompt

```text
# 1. Soundtrack out of the film
ffmpeg -i film.mp4 -vn -ac 2 -ar 44100 film_audio.wav

# 2. Four stems on the Apple GPU (drop -d mps for CUDA or CPU)
demucs -d mps -o stems film_audio.wav
# no install: uvx --with numpy --from demucs demucs -d mps -o stems film_audio.wav
# output: stems/htdemucs/film_audio/vocals.wav drums.wav bass.wav other.wav

# 3. Find the music: threshold the RMS of drums+bass per second, merge windows closer than a few seconds, print the window map before changing anything (dry run).

# 4. Inside each window: the whole vocals stem + your score. Outside the windows: the original audio, sample for sample.

# 5. Rebuild audio only, video copied
ffmpeg -i film.mp4 -i clean_audio.wav -map 0:v -map 1:a -c:v copy -c:a aac film.clean.mp4
```

## Steps

1. Run the dry run and read the window map against the film: a window that starts mid-sentence means the threshold is too low.
2. Inside the windows keep the whole vocals stem, not the parts the subtitles cover: STT misses exclamations, and 31 s of loud speech lived outside the subtitles on one film.
3. Upload, then compare the platform's claimed time codes with your windows. Its claims are a check, not the map: Content ID sees a subset.

## Example

Measured on one episode: 10 claims, about 4 minutes of songs, four of the claims blocking the video in two countries that were 21% of the channel's audience. A claim is not a strike, but you do not choose the block.

## Tips

- Detect on drums + bass, not on the no-vocals stem. Demucs puts the engine, wind and city into `other`, and road noise is louder than the radio almost everywhere.
- The singer's ghost stays in the vocals stem 5-10 dB under the speaker. It disappears under a new score; it does not disappear on its own.
- Speed: about 4 minutes per 20 minutes of audio on an Apple Silicon GPU; 60 s of a song took 8.3 s with `-d mps` and 15.7 s on CPU. Without `-d mps` Demucs does not pick the Apple GPU.
- Already published and the claim restricts nothing: leave it. Re-upload only for a block or lost monetisation; the platform's own 'erase song' takes days and cuts the whole segment, speech included.
- In Claude Code, `/stem-split` runs Demucs and `/video-edit` does the detection, the replacement and the rebuild.

## Works with

- ffmpeg: A terminal command you run yourself.
- Claude Code: Runs as a skill or a prompt in the terminal; can read your files and write the result.
- By hand: No tool needed: a checklist or a technique.