Project description

Ardio

Ardio (a python package) converts academic journal articles into mp3 files for listening at leisure. It removes figures, references and other contents that cannot be 'listened to.' The idea is to use it as a base application for machine learning to separate useful stuff from the rest.

Usage

pip install ardio
ardio input.pdf output.mp3

Contributor(s)

Bell Eapen

Project details

These details have not been verified by PyPI

Project links

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Development Status
- 4 - Beta
Intended Audience
- Science/Research
Operating System
- OS Independent
Programming Language
Topic
- Scientific/Engineering :: Information Analysis

Release history Release notifications | RSS feed

This version

1.1.0

Nov 26, 2020

1.0.0

Nov 26, 2020

Download files

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

Source Distribution

ardio-1.1.0.tar.gz (2.4 kB view hashes)

Uploaded Nov 26, 2020 Source

Built Distribution

ardio-1.1.0-py3-none-any.whl (2.7 kB view hashes)

Uploaded Nov 26, 2020 Python 3

Hashes for ardio-1.1.0.tar.gz

Hashes for ardio-1.1.0.tar.gz
Algorithm	Hash digest
SHA256	`e8d17709226f4c7cf47a767fdf956f1213afe8a2a5610ceb163e6c1270d80a5d`
MD5	`e11e2d42cbb57f1555a479781c4fc84c`
BLAKE2b-256	`db884817f45b033ad23b787cdc909e3faea6a4c20a0806b0a19b2cd75cc83ea7`

Hashes for ardio-1.1.0-py3-none-any.whl

Hashes for ardio-1.1.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`e1bd697f83b355ba8e6fa2ce62d1d047c8a5c07d493f93a504ddc0f35db31b08`
MD5	`5a3d172fca491f016d1a7d5bd2a5e446`
BLAKE2b-256	`284ab08bd03bba08aefed2e36d7e00e385321f2c7eed0adf668f67fe1703f5db`