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https://github.com/smacke/subsync

Automagically synchronize subtitles with video.
https://github.com/smacke/subsync

alignment audio caption captions fast-fourier-transform ffmpeg fft speech-detection srt srt-subtitles string-alignment subtitle subtitles sync synchronization vad video vlc vlc-media-player voice-activity-detection

Last synced: 3 months ago
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Automagically synchronize subtitles with video.

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README 

        
FFsubsync

=======



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Language-agnostic automatic synchronization of subtitles with video, so that

subtitles are aligned to the correct starting point within the video.



Turn this:                       |  Into this:

:-------------------------------:|:-------------------------:

![](https://raw.githubusercontent.com/smacke/ffsubsync/master/resources/img/tearing-me-apart-wrong.gif)  |  ![](https://raw.githubusercontent.com/smacke/ffsubsync/master/resources/img/tearing-me-apart-correct.gif)



Helping Development

-------------------

Please consider [supporting Ukraine](https://github.com/vshymanskyy/StandWithUkraine/blob/main/docs/README.md)

rather than donating directly to this project. That said, at the request of

some, you can now help cover my coffee expenses using the Github Sponsors

button at the top, or using the below Paypal Donate button:



[![Donate](https://www.paypalobjects.com/en_US/i/btn/btn_donate_LG.gif)](https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=XJC5ANLMYECJE)



Install

-------

First, make sure ffmpeg is installed. On MacOS, this looks like:

~~~

brew install ffmpeg

~~~

(Windows users: make sure `ffmpeg` is on your path and can be referenced

from the command line!)



Next, grab the package (compatible with Python >= 3.6):

~~~

pip install ffsubsync

~~~

If you want to live dangerously, you can grab the latest version as follows:

~~~

pip install git+https://github.com/smacke/ffsubsync@latest

~~~



Usage

-----

`ffs`, `subsync` and `ffsubsync` all work as entrypoints:

~~~

ffs video.mp4 -i unsynchronized.srt -o synchronized.srt

~~~



There may be occasions where you have a correctly synchronized srt file in a

language you are unfamiliar with, as well as an unsynchronized srt file in your

native language. In this case, you can use the correctly synchronized srt file

directly as a reference for synchronization, instead of using the video as the

reference:



~~~

ffsubsync reference.srt -i unsynchronized.srt -o synchronized.srt

~~~



`ffsubsync` uses the file extension to decide whether to perform voice activity

detection on the audio or to directly extract speech from an srt file.



Sync Issues

-----------

If the sync fails, the following recourses are available:

- Try to sync assuming identical video / subtitle framerates by passing

  `--no-fix-framerate`;

- Try passing `--gss` to use [golden-section search](https://en.wikipedia.org/wiki/Golden-section_search)

  to find the optimal ratio between video and subtitle framerates (by default,

  only a few common ratios are evaluated);

- Try a value of `--max-offset-seconds` greater than the default of 60, in the

  event that the subtitles are out of sync by more than 60 seconds (empirically

  unlikely in practice, but possible).

- Try `--vad=auditok` since [auditok](https://github.com/amsehili/auditok) can

  sometimes work better in the case of low-quality audio than WebRTC's VAD.

  Auditok does not specifically detect voice, but instead detects all audio;

  this property can yield suboptimal syncing behavior when a proper VAD can

  work well, but can be effective in some cases.



If the sync still fails, consider trying one of the following similar tools:

- [sc0ty/subsync](https://github.com/sc0ty/subsync): does speech-to-text and looks for matching word morphemes

- [kaegi/alass](https://github.com/kaegi/alass): rust-based subtitle synchronizer with a fancy dynamic programming algorithm

- [tympanix/subsync](https://github.com/tympanix/subsync): neural net based approach that optimizes directly for alignment when performing speech detection

- [oseiskar/autosubsync](https://github.com/oseiskar/autosubsync): performs speech detection with bespoke spectrogram + logistic regression

- [pums974/srtsync](https://github.com/pums974/srtsync): similar approach to ffsubsync (WebRTC's VAD + FFT to maximize signal cross correlation)



Speed

-----

`ffsubsync` usually finishes in 20 to 30 seconds, depending on the length of

the video. The most expensive step is actually extraction of raw audio. If you

already have a correctly synchronized "reference" srt file (in which case audio

extraction can be skipped), `ffsubsync` typically runs in less than a second.



How It Works

------------

The synchronization algorithm operates in 3 steps:

1. Discretize both the video file's audio stream and the subtitles into 10ms

   windows.

2. For each 10ms window, determine whether that window contains speech.  This

   is trivial to do for subtitles (we just determine whether any subtitle is

   "on" during each time window); for the audio stream, use an off-the-shelf

   voice activity detector (VAD) like

   the one built into [webrtc](https://webrtc.org/).

3. Now we have two binary strings: one for the subtitles, and one for the

   video.  Try to align these strings by matching 0's with 0's and 1's with

   1's. We score these alignments as (# video 1's matched w/ subtitle 1's) - (#

   video 1's matched with subtitle 0's).



The best-scoring alignment from step 3 determines how to offset the subtitles

in time so that they are properly synced with the video. Because the binary

strings are fairly long (millions of digits for video longer than an hour), the

naive O(n^2) strategy for scoring all alignments is unacceptable. Instead, we

use the fact that "scoring all alignments" is a convolution operation and can

be implemented with the Fast Fourier Transform (FFT), bringing the complexity

down to O(n log n).



Limitations

-----------

In most cases, inconsistencies between video and subtitles occur when starting

or ending segments present in video are not present in subtitles, or vice versa.

This can occur, for example, when a TV episode recap in the subtitles was pruned

from video. FFsubsync typically works well in these cases, and in my experience

this covers >95% of use cases. Handling breaks and splits outside of the beginning

and ending segments is left to future work (see below).



Future Work

-----------

Besides general stability and usability improvements, one line

of work aims to extend the synchronization algorithm to handle splits

/ breaks in the middle of video not present in subtitles (or vice versa).

Developing a robust solution will take some time (assuming one is possible).

See [#10](https://github.com/smacke/ffsubsync/issues/10) for more details.



History

-------

The implementation for this project was started during HackIllinois 2019, for

which it received an **_Honorable Mention_** (ranked in the top 5 projects,

excluding projects that won company-specific prizes).



Credits

-------

This project would not be possible without the following libraries:

- [ffmpeg](https://www.ffmpeg.org/) and the [ffmpeg-python](https://github.com/kkroening/ffmpeg-python) wrapper, for extracting raw audio from video

- VAD from [webrtc](https://webrtc.org/) and the [py-webrtcvad](https://github.com/wiseman/py-webrtcvad) wrapper, for speech detection

- [srt](https://pypi.org/project/srt/) for operating on [SRT files](https://en.wikipedia.org/wiki/SubRip#SubRip_text_file_format)

- [numpy](http://www.numpy.org/) and, indirectly, [FFTPACK](https://www.netlib.org/fftpack/), which powers the FFT-based algorithm for fast scoring of alignments between subtitles (or subtitles and video)

- Other excellent Python libraries like [argparse](https://docs.python.org/3/library/argparse.html), [rich](https://github.com/willmcgugan/rich), and [tqdm](https://tqdm.github.io/), not related to the core functionality, but which enable much better experiences for developers and users.



# License

Code in this project is [MIT licensed](https://opensource.org/licenses/MIT).