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|pypi| |pyversions| |license| |coverage| |build-status| |docs-status| |downloads|
webvtt-py
is a Python module for reading/writing WebVTT_ caption files. It also features caption segmentation useful when captioning HLS videos
_.
Documentation is available at http://webvtt-py.readthedocs.io.
.. _WebVTT
: http://dev.w3.org/html5/webvtt/
.. _HLS videos
: https://tools.ietf.org/html/draft-pantos-http-live-streaming-19
::
$ pip install webvtt-py
.. code-block:: python
import webvtt
for caption in webvtt.read('captions.vtt'): print(caption.start) print(caption.end) print(caption.text)
.. code-block:: python
import webvtt
webvtt.segment('captions.vtt', 'output/path')
Supported formats:
.. code-block:: python
import webvtt
webvtt = webvtt.from_srt('captions.srt') webvtt.save()
webvtt.from_sbv('captions.sbv').save()
Caption segmentation is also available from the command line:
::
$ webvtt segment captions.vtt --output output/path
Licensed under the MIT License.
.. |pypi| image:: https://img.shields.io/pypi/v/webvtt-py.svg :target: https://pypi.python.org/pypi/webvtt-py
.. |pyversions| image:: https://img.shields.io/pypi/pyversions/webvtt-py.svg :alt: Supported Python versions :target: https://pypi.python.org/pypi/webvtt-py
.. |license| image:: https://img.shields.io/pypi/l/webvtt-py.svg :alt: MIT License :target: https://opensource.org/licenses/MIT
.. |coverage| image:: https://codecov.io/gh/glut23/webvtt-py/graph/badge.svg?branch=master :target: https://codecov.io/gh/glut23/webvtt-py
.. |build-status| image:: https://github.com/glut23/webvtt-py/actions/workflows/ci.yml/badge.svg?branch=master :target: https://github.com/glut23/webvtt-py/actions/workflows/ci.yml
.. |docs-status| image:: https://readthedocs.org/projects/webvtt-py/badge/?version=latest :target: http://webvtt-py.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status
.. |downloads| image:: https://static.pepy.tech/badge/webvtt-py :target: https://pepy.tech/project/webvtt-py :alt: Downloads
FAQs
WebVTT reader, writer and segmenter
We found that webvtt-py demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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