cleanvid 1.1.0

cleanvid is a little script to mute profanity in video files.

cleanvid

cleanvid is a little script to mute profanity in video files in a few simple steps:

1. The user provides as input a video file and matching .srt subtitle file. If subtitles are not provided explicitly, they will be extracted from the video file if possible; if not, subliminal is used to attempt to download the best matching .srt file.
2. pysrt is used to parse the .srt file, and each entry is checked against a list of profanity or other words or phrases you'd like muted. Mappings can be provided (eg., map "sh*t" to "poop"), otherwise the word will be replaced with *****.
3. A new "clean" .srt file is created. with only those phrases containing the censored/replaced objectional language.
4. ffmpeg is used to create a cleaned video file. This file contains the original video stream, but the audio stream is muted during the segments containing objectional language. The audio stream is re-encoded as AAC and remultiplexed back together with the video. Optionally, the clean .srt file can be embedded in the cleaned video file as a subtitle track.

You can then use your favorite media player to play the cleaned video file together with the cleaned subtitles.

cleanvid is part of a family of projects with similar goals:

• 📼 cleanvid for video files
• 🎤 monkeyplug for audio files
• 📕 montag for ebooks

Installation

Using pip, to install the latest release from PyPI:

python3 -m pip install -U cleanvid

Or to install directly from GitHub:

python3 -m pip install -U 'git+https://github.com/mmguero/cleanvid'

Prerequisites

cleanvid requires:

• Python 3
• FFmpeg
• babelfish
• delegator.py
• pysrt
• subliminal

To install FFmpeg, use your operating system's package manager or install binaries from ffmpeg.org. The Python dependencies will be installed automatically if you are using pip to install cleanvid.

usage

usage: cleanvid.py [-h] [-s <srt>] -i <input video> [-o <output video>] [--subs-output <output srt>]
                   [-w <profanity file>] [-l <language>] [-p <int>] [-e] [-f]
                   [--subs-only] [--edl] [-r] [-b] [-v VPARAMS] [-a APARAMS]

options:
  -h, --help            show this help message and exit
  -s <srt>, --subs <srt>
                        .srt subtitle file (will attempt auto-download if unspecified)
  -i <input video>, --input <input video>
                        input video file
  -o <output video>, --output <output video>
                        output video file
  --subs-output <output srt>
                        output subtitle file
  -w <profanity file>, --swears <profanity file>
                        text file containing profanity (with optional mapping)
  -l <language>, --lang <language>
                        language for srt download (default is "eng")
  -p <int>, --pad <int>
                        pad (seconds) around profanity
  -e, --embed-subs      embed subtitles in resulting video file
  -f, --full-subs       include all subtitles in output subtitle file (not just scrubbed)
  --subs-only           only operate on subtitles (do not alter audio)
  --edl                 generate MPlayer EDL file with mute actions (also implies --subs-only)
  -r, --re-encode       Re-encode video
  -b, --burn            Hard-coded subtitles (implies re-encode)
  -v VPARAMS, --video-params VPARAMS
                        Video parameters for ffmpeg (only if re-encoding)
  -a APARAMS, --audio-params APARAMS
                        Audio parameters for ffmpeg

Docker

Alternately, a Dockerfile is provided to allow you to run cleanvid in Docker. You can build the ghcr.io/mmguero/cleanvid:latest Docker image with build_docker.sh, then run cleanvid-docker.sh inside the directory where your video/subtitle files are located.

Contributing

If you'd like to help improve cleanvid, pull requests will be welcomed!

Authors

• Seth Grover - Initial work - mmguero

License

This project is licensed under the BSD 3-Clause License - see the LICENSE file for details.

Acknowledgments

Thanks to:

• the developers of FFmpeg
• Mattias Wadman for his ffmpeg image
• delegator.py developer Kenneth Reitz and contributors
• pysrt developer Jean Boussier and contributors
• subliminal developer Antoine Bertin and contributors