A tiny library for parsing, modifying, and composing SRT files.
Project description
srt is a tiny but featureful Python library for parsing, modifying, and composing SRT files. Take a look at the quickstart for a basic overview of the library. Detailed API documentation is also available.
Want to see some examples of its use? Take a look at the tools shipped with the library. This library is also used internally by projects like subsync, NVIDIA RAD-TTS, manim, kinobot, bw_plex, and many more.
Why choose this library?
Can parse many broken SRT files which other SRT libraries cannot, and fix them
Extremely lightweight, ~200 lines of code excluding docstrings
Simple, intuitive API
High quality test suite using Hypothesis
100% test coverage (including branches)
Well documented API, at both a high and low level
Full support for PyPy
No dependencies outside of the standard library
Tolerant of many common errors found in real-world SRT files
Support for Asian-style SRT formats (ie. “fullwidth” SRT format)
Completely Unicode compliant
Released under a highly permissive license (MIT)
Real world tested — used in production to process thousands of SRT files every day
Portable — runs on Linux, OSX, and Windows
Tools included — contains lightweight tools to perform generic tasks with the library
Usage
Tools
There are a number of tools shipped with the library to manipulate, process, and fix SRT files. Here’s an example using hanzidentifier to strip out non-Chinese lines:
$ cat pe.srt
1
00:00:33,843 --> 00:00:38,097
Only 3% of the water on our planet is fresh.
地球上只有3%的水是淡水
2
00:00:40,641 --> 00:00:44,687
Yet, these precious waters are rich with surprise.
可是这些珍贵的淡水中却充满了惊奇
$ srt lines-matching -m hanzidentifier -f hanzidentifier.has_chinese -i pe.srt
1
00:00:33,843 --> 00:00:38,097
地球上只有3%的水是淡水
2
00:00:40,641 --> 00:00:44,687
可是这些珍贵的淡水中却充满了惊奇
These tools are easy to chain together, for example, say you have one subtitle with Chinese and English, and other with French, but you want Chinese and French only. Oh, and the Chinese one is 5 seconds later than it should be. That’s easy enough to sort out:
$ srt lines-matching -m hanzidentifier -f hanzidentifier.has_chinese -i chs+eng.srt |
> srt fixed-timeshift --seconds -5 |
> srt mux --input - --input fra.srt
See the srt_tools/ directory for more information.
Library
Detailed API documentation is available, but here are the basics.
Here’s how you convert SRT input to Subtitle objects which you can manipulate:
>>> data = '''\
1
00:00:33,843 --> 00:00:38,097
地球上只有3%的水是淡水
2
00:00:40,641 --> 00:00:44,687
可是这些珍贵的淡水中却充满了惊奇
3
00:00:57,908 --> 00:01:03,414
所有陆地生命归根结底都依赖於淡水
'''
>>> for sub in srt.parse(data):
... print(sub)
Subtitle(index=1, start=datetime.timedelta(seconds=33, microseconds=843000), end=datetime.timedelta(seconds=38, microseconds=97000), content='地球上只有3%的水是淡水', proprietary='')
Subtitle(index=2, start=datetime.timedelta(seconds=40, microseconds=641000), end=datetime.timedelta(seconds=44, microseconds=687000), content='可是这些珍贵的淡水中却充满了惊奇', proprietary='')
Subtitle(index=3, start=datetime.timedelta(seconds=57, microseconds=908000), end=datetime.timedelta(seconds=63, microseconds=414000), content='所有陆地生命归根结底都依赖於淡水', proprietary='')
And here’s how you go back from Subtitle objects to SRT output:
>>> subs = list(srt.parse(data))
>>> subs[1].content = "Changing subtitle data is easy!"
>>> print(srt.compose(subs))
1
00:00:33,843 --> 00:00:38,097
地球上只有3%的水是淡水
2
00:00:40,641 --> 00:00:44,687
Changing subtitle data is easy!
3
00:00:57,908 --> 00:01:03,414
所有陆地生命归根结底都依赖於淡水
Installation
To install the latest stable version from PyPi:
pip install -U srt
To install the latest development version directly from GitHub:
pip install -U git+https://github.com/cdown/srt.git@develop
Testing
tox
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file srt-3.5.3.tar.gz
.
File metadata
- Download URL: srt-3.5.3.tar.gz
- Upload date:
- Size: 28.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4884315043a4f0740fd1f878ed6caa376ac06d70e135f306a6dc44632eed0cc0 |
|
MD5 | 102ba419fc500b7586eb3cdab7ac819f |
|
BLAKE2b-256 | 66b74a1bc231e0681ebf339337b0cd05b91dc6a0d701fa852bb812e244b7a030 |