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Audiogrep transcribes audio files and then creates "audio supercuts" based on search phrases. It uses CMU Pocketsphinx for speech-to-text and pydub to stitch things together.

Here's some sample output.


Install using pip

pip install audiogrep

Install ffmpeg with Ogg/Vorbis support. If you're on a mac with homebrew you can install ffmpeg with:

brew install ffmpeg --with-libvpx --with-libvorbis

Finally, install CMU Pocketsphinx. For mac users I followed these instructions to get it working:

brew tap watsonbox/cmu-sphinx
brew install --HEAD watsonbox/cmu-sphinx/cmu-sphinxbase
brew install --HEAD watsonbox/cmu-sphinx/cmu-sphinxtrain # optional
brew install --HEAD watsonbox/cmu-sphinx/cmu-pocketsphinx

How to use it

First, transcribe the audio (you'll only need to do this once per audio track, but it can take some time)

# transcribes all mp3s in the selected folder
audiogrep --input path/to/*.mp3 --transcribe

Then, basic use:

# returns all phrases with the word 'word' in them
audiogrep --input path/to/*.mp3 --search 'word'

The previous example will extract phrase chunks containing the search term, but you can also just get individual words:

audiogrep --input path/to/*.mp3 --search 'word' --output-mode word

If you add the '--regex' flag you can use regular expressions. For example:

# creates a supercut of every instance of the words "spectre", "haunting" and "europe"
audiogrep --input path/to/*.mp3 --search 'spectre|haunting|europe' --output-mode word --regex

You can also construct 'frankenstein' sentences (mileage may vary):

# stupid joke
audiogrep --input path/to/*.mp3 --search 'my voice is my passport' --output-mode franken

Or you can just extract individual words into files.

# extracts each individual word into its own file in a directory called 'extracted_words'
audiogrep --input path/to/*.mp3 --extract

Exporting to: extracted_words/i.mp3
Exporting to: extracted_words/am.mp3
Exporting to: extracted_words/the.mp3
Exporting to: extracted_words/key.mp3
Exporting to: extracted_words/master.mp3


audiogrep can take a number of options:

--input / -i

mp3 file or pattern for input

--output / -o

Name of the file to generate. By default this is "supercut.mp3"

--search / -s

Search term

--output-mode / -m

Splice together phrases, single words, fragments with wildcards, or "frankenstein" sentences. Options are:

  • sentence: (this is the default)
  • word
  • fragment
  • franken

--padding / -p

Time in milliseconds to add between audio segments. Default is 0.

--crossfade / -c

Time in milliseconds to crossfade audio segments. Default is 0.

--extract / -x

--demo / -d

Show the results of the search without outputing a file


If you receive the error "ERROR: "cmd_ln.c", line 942: Unknown argument: -alignctl", uninstalling and reinstalling cmu-sphinxbase and cmu-pocketsphinx may solve the issue.


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