Skip to main content

Automatically find the loop points of any music file and export into intro/loop/outro sections or loop points, with optional playback through the terminal.

Project description

PyMusicLooper

A python script for repeating music seamlessly and endlessly, by automatically finding the best loop points.

Features:

  • Find loop points within any music file (if they exist).
  • Supports a large set of different audio formats, and all the popular ones (MP3, OGG, M4A, FLAC, WAV, etc).
  • Play the music file endlessly and seamlessly with the best discovered loop.
  • Export to intro/loop/outro sections for editing or seamless playback within any music player that supports gapless playback.
  • Export loop points in samples to a text file (e.g. for use in creating custom themes with seamlessly looping audio).

Installation

Pre-requisites

The following software must be installed for pymusiclooper to function correctly.

  • Python >= 3.6
  • ffmpeg (adds support for MP3 and other audio formats)
  • mpg123 to play/preview music loops through the terminal

Installing using pip

pip install pymusiclooper

Installation note:

  • Debian-based GNU/Linux distributions may need to install taglib with development headers for the tag preservation feature: sudo apt install libtag1-dev

Usage

usage: pymusiclooper [-h] [-v] [-i] [-p] [-e] [--preserve-tags] [-t] [-r] [-f] [-n N_JOBS] [-o OUTPUT_DIR]
                     [-m MIN_DURATION_MULTIPLIER] [-V]
                     path

A script for repeating music seamlessly and endlessly, by automatically finding the best loop points.

positional arguments:
  path                  path to file or directory

optional arguments:
  -h, --help            show this help message and exit
  -v, --verbose         enable verbose logging output
  -i, --interactive     manually preview/choose which loop to use out of the discovered loop points
  -V, --version         show program's version number and exit

Play:
  -p, --play            play the song on repeat with the best discovered loop point (default).

Export:
  -e, --export          export the song into intro, loop and outro files (WAV format).
  --preserve-tags       export with the track's original tags.
  -t, --txt             export the loop points of a track in samples and append to a loop.txt file (compatible with
                        LoopingAudioConverter).
  -r, --recursive       process directories and their contents recursively (has an effect only if the given path is a directory).
  -f, --flatten         flatten the output directory structure instead of preserving it when using the --recursive flag.
  -n N_JOBS, --n-jobs N_JOBS
                        number of files to batch process at a time (default: 1). WARNING: greater values result in higher memory
                        consumption.

General Options:
  -o OUTPUT_DIR, --output-dir OUTPUT_DIR
                        specify a different output directory.
  -m MIN_DURATION_MULTIPLIER, --min-duration-multiplier MIN_DURATION_MULTIPLIER
                        specify minimum loop duration as a multiplier of song duration (default: 0.35)

PyMusicLooper will find the best loop point it can detect, and will then, depending on your arguments:

(a) play the song on repeat using the best discovered loop point (default, requires mpg123);

(b) export intro/loop/outro sections of the song (currently outputs as WAV-only; however you may convert them with ffmpeg or Audacity);

(c) export the loop points (in samples) to a text file compatible with LoopingAudioConverter, which you can use for audio loops in custom theme creation, game engine audio loops, etc.

Note: using the interactive -i option is highly recommended, since the algorithmically chosen "best" loop point may not be perceptually good, mainly due to some chosen loop points causing 'sound popping' when played.

Example Usage

Side note: Most terminals support file drag-and-drop, which can be utilized instead of manual path navigation/selection.

Play

Play the song on repeat with the best discovered loop point.

pymusiclooper "TRACK_NAME.mp3"

Export

Export the song into intro, loop and outro files, and carry over the track's original tags.

pymusiclooper -e "TRACK_NAME.ogg" --preserve-tags

Export the loop points of all the songs in a particular directory to a single loop.txt file (compatible with LoopingAudioConverter).

pymusiclooper -t "/path/to/dir/"

Note: each line in loop.txt follows the following format: {loop-start} {loop-end} {filename}

Miscellaneous

If the loop is very long (or very short), you may specify a different minimum duration for the algorithm to use, which is 0.35 (35%) by default. If the most of the track is the loop section, specifying a higher multiplier will also speed the algorithm up. Here -m 0.85 means that, excluding silence, the loop section is at least 85% of the music track.

pymusiclooper "TRACK_NAME.flac" -m 0.85

Loop points can be chosen and previewed interactively before playback/export using the -i flag, e.g.

pymusiclooper "TRACK_NAME.wav" -e -i

Example of multiple functionalities in action

Export intro/loop/outro sections and loop points of all the songs in the current directory and its subdirectories, to a folder called "Music Loops", processing 4 tracks concurrently, preserving the original tags.

pymusiclooper -ret . -o "Music Loops" -n 4 --preserve-tags

Building from source

Required python packages: pip and setuptools.

Clone the git repository to a directory of your choice and cd to inside the repo.

Run:

python setup.py build

Followed by:

python setup.py install

Acknowledgement

This project started out as a fork of Nolan Nicholson's project Looper. Although at this point only a few lines of code remain from that project due to adopting a completely different approach and implementation; this project would not have been possible without their initial contribution.

Version History

  • v2.3.0 Partial code re-organization and improvement; better exception handling
  • v2.2.0 Merged the 'complete' installation option with the 'core' installation
  • v2.1.0 CLI can now be launched directly by calling pymusiclooper in the terminal
  • v2.0.0 Rewrite of the core loop finding algorithm with performance optimizations and slightly better loop analysis
  • v1.7.0 Added an option to export a loop.txt file compatible with LoopingAudioConverter and a flatten option if the new directory behavior introduced in v1.6.2 is not desired. Fixed a bug with non-recursive batch export.
  • v1.6.2 Preserve source directory tree structure in batch output directory. Fixed json export bug.
  • v1.6.1 Lowered note similarity threshold to improve loop point quality
  • v1.6.0 Added interactive option for user loop selection
  • v1.5.1 Fixed issues caused by previous release's refactoring
  • v1.5.0 Batch mode now implicitly enabled based on given path
  • v1.4.0 Major improvements to the loop detection algorithm; added option to preserve tags
  • v1.3.2 Fixed fallback PLP method not working sometimes
  • v1.3.1 Fixed batch processing mode selection
  • v1.3.0 Added multiprocessing support and progress bar for batch export
  • v1.2.1 Save export output to a "looper_output" folder in the current working directory by default
  • v1.2.0 Removed unreliable cache implementation
  • v1.1.0 Added support for batch processing
  • v1.0.0 Initial Release

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

pymusiclooper-2.3.0-py3.8.egg (27.1 kB view details)

Uploaded Source

File details

Details for the file pymusiclooper-2.3.0-py3.8.egg.

File metadata

  • Download URL: pymusiclooper-2.3.0-py3.8.egg
  • Upload date:
  • Size: 27.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.8.5

File hashes

Hashes for pymusiclooper-2.3.0-py3.8.egg
Algorithm Hash digest
SHA256 528426341ba687b6fa29c03715996046ec6bc46a926f22adc747195555110350
MD5 9571d78438ac062d0b195aa3ef4c7618
BLAKE2b-256 df231437ae70cee183746a12e8131b5911858edb9030b780f5d44874185633db

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page