audio-extract 0.6.0

Extract and trim audio from videos or trim audios.

Audio Extract

audio-extract is a Python library that allows you to extract audio from video files and trim the audio according to your needs

Description

audio-extract is a Python library that allows you to extract audio from video files and trim the audio according to your needs. You can use it to create audio clips from movies, podcasts, or any other video source. It supports various audio and video formats, such as MP3, WAV, OGG, MP4, AVI, and MKV.

Installing

• Install from Pypi:

pip install audio-extract

• Install from GitHub:

pip install git+https://github.com/riad-azz/audio-extract.git

Getting Started

AudioExtract - Info

The application is pretty straightforward all you need is to import the extract_audio function. The function args:

• input_path : The path to the input (Video/Audio) file.

• output_path: The path to the extracted audio file. The default value is ./audio.mp3.

• output_format: The format of the extracted audio. The default value is mp3.

• start_time: The start time of the output in HH:MM:SS or MM:SS format. The default value is 00:00:00.

• duration: The duration of the extracted audio in seconds (float). The default value is None which means full audio will be extracted if start_time is set to 00:00:00.

• overwrite: Whether to overwrite the output file if it already exists or not. The default value is False.

The supported file formats:

• Supported audio formats : WAV, OGG, MP3, AAC, FLAC, M4A, OGA, OPUS

• Supported video formats : MP4, MKV, WEBM, FLV, AVI, MOV, WMV, M4V

Executing the program

Extract full audio:

from audio_extract import extract_audio

extract_audio(input_path="./video.mp4", output_path="./audio.mp3")

This will create a mp3 file called audio.mp3 that contains the full audio of the video file video.mp4.

Extract sub clip audio:

from audio_extract import extract_audio

extract_audio(input_path="./video.mp4",
              output_path="./audio.mp3",
              start_time="00:30",
              overwrite=True)

This will create a mp3 file called audio.mp3 that starts after the first 30 seconds of the video file video.mp4 and will overwrite audio.mp3 file if it already exists.

Extract sub clip audio with custom duration

from audio_extract import extract_audio

extract_audio(input_path="./video.mp4",
              output_path="./audio.mp3",
              start_time="00:25",
              duration=15.0)

This will convert video file video.mp4 to a mp3 file starting from 00:25 to 00:40 called audio.mp3 that will have a duration of 00:15.

Trim audio:

from audio_extract import extract_audio

extract_audio(input_path="./audio.mp3",
              output_path="./new_audio.mp3",
              start_time="00:05",
              duration=20.0)

This will trim the audio.mp3 file starting from 00:05 to 00:25 to a mp3 file called new_audio.mp3 that will have a duration of 00:20.

Running Command-Line-Interface

CLI Arguments

The following cli arguments are supported:

• --input or -i : The path to the input (Video/Audio) file.

• --output or -o : The path to the extracted audio file. The default value is ./audio.mp3.

• --format or -f : The format of the extracted audio. The default value is mp3.

• --start-time or -st : The start time of the output in HH:MM:SS or MM:SS format. The default value is 00:00:00.

• --duration or -d : The duration of the extracted audio in seconds (float), The default value is None which means full audio will be extracted if start_time is set to 00:00:00.

• --overwrite or -ow : Whether to overwrite the output file if it already exists or not. The default value is False.

CLI Usage Example:

Here is an example of using the CLI to extract audio:

audio-extract --input="./video.mp4" --output="./audios/extracted_audio.wav" --format="wav"

This command will extract the full audio starting from video.mp4 to a wav file called extracted_audio.wav and will be saved to the folder ./audios/. The folder will be automatically created if it doesn't exist.

Authors

Riadh Azzoun - @riad-azz

License

This project is licensed under the [MIT] License - see the LICENSE.md file for details