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Videogrep is a command line tool that searches through dialog in video files and makes supercuts based on what it finds. Like grep but for video.

Project description


Videogrep is a command line tool that searches through dialog in video files and makes supercuts based on what it finds. It will recognize .srt or .vtt subtitle tracks, or transcriptions that can be generated with vosk, pocketsphinx, and other tools.



Videogrep is compatible with Python versions 3.6 to 3.10.

pip install videogrep

If you want to transcribe videos, you also need to install ffmpeg and vosk.

If you're on a mac with homebrew you install ffmpeg with:

brew install ffmpeg

To install vosk:

pip install vosk

Note: the previous version of videogrep supported pocketsphinx for speech-to-text. Vosk seems much better so I've added support for it and will likely be phasing out support for pocketsphinx.


The most basic use:

videogrep --input path/to/video --search 'search phrase'

You can put any regular expression in the search phrase.

NOTE: videogrep requires a matching subtitle track with each video you want to use. The video file and subtitle file need to have the exact same name, up to the extension. For example, my_movie.mp4 and will work, and my_movie.mp4 and will not work.

Videogrep will search for matching srt and vtt subtitles, as well as json transcript files that can be generated with the --transcribe argument.


--input [filename(s)] / -i [filename(s)]

Video or videos to use as input. Most video formats should work.

--output [filename] / -o [filename]

Name of the file to generate. By default this is supercut.mp4. Any standard video extension will also work.

Videogrep will also recognize the following extensions for saving files:

  • .mpv.edl: generates an edl file playable by mpv (useful for previews)
  • .m3u: media playlist
  • .xml: Final Cut Pro timeline, compatable with Adobe Premiere and Davinci Resolve
videogrep --input path/to/video --search 'search phrase' --output coolvid.mp4

--search [query] / -s [query]

Search term, as a regular expression.

--search-type [type] / -st [type]

Type of search you want to perform. There are two options:

  • sentence: (default): Generates clips containing the full sentences of your search query.
  • fragment: Generates clips containing the exact word or phrase of your search query.

Both options take regular expressions. You may only use the fragment search if your transcript has word-level timestamps, which will be the case for youtube .vtt files, or if you generated a transcript using Videogrep itself.

videogrep --input path/to/video --search 'experience' --search-type fragment

--max-clips [num] / -m [num]

Maximum number of clips to use for the supercut.

--demo / -d

Show the search results without making the supercut.

--randomize / -r

Randomize the order of the clips.

--padding [seconds] / -p [seconds]

Padding in seconds to add to the start and end of each clip.

--resyncsubs [seconds] / -rs [seconds]

Time in seconds to shift the shift the subtitles forwards or backwards.

--transcribe / -tr

Transcribe the video using vosk. This will generate a .json file in the same folder as the video. By default this uses vosk's small english model.

NOTE: Because of some compatibility issues, vosk must be installed separately with pip install vosk.

videogrep -i vid.mp4 --transcribe

--model [modelpath] / -mo [modelpath]

In combination with the --transcribe option, allows you to specify the path to a vosk model folder to use. Vosk models are available here in a variety of languages.

videogrep -i vid.mp4 --transcribe --model path/to/model/

--export-clips / -ec

Exports clips as individual files rather than as a supercut.

videogrep -i vid.mp4 --search 'whatever' --export-clips

--ngrams [num] / -n [num]

Shows common words and phrases from the video.

videogrep -i vid.mp4 --ngrams 1

Use it as a module

from videogrep import videogrep

videogrep('path/to/your/files','output_file_name.mp4', 'search_term', 'search_type')

The videogrep module accepts the same parameters as the command line script. To see the usage check out the source.

Example Scripts

Also see the examples folder for:

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