Vorschlagen

Subaligner

CLI

Automatically aligns subtitles to audio and video with a neural network, and can transcribe subtitles with Whisper or translate them with local models; supports 10+ formats such as SRT, TTML and SCC. Needs Python 3.9-3.12 and FFmpeg; transcription and translation need the llm extra.

baxtree/subaligner511
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subaligner

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Supported Formats

Subtitle: SubRip, TTML, WebVTT, (Advanced) SubStation Alpha, MicroDVD, MPL2, TMP, EBU STL, SAMI, SCC and SBV.

Video/Audio: MP4, WebM, Ogg, 3GP, FLV, MOV, Matroska, MPEG TS, WAV, MP3, AAC, FLAC, etc.

:information_source: Subaligner relies on file extensions as default hints to process a wide range of audiovisual or subtitle formats. It is recommended to use extensions widely acceppted by the community to ensure compatibility.

Dependant package

Required by the basic installation: FFmpeg

Install FFmpeg 
apt-get install ffmpeg
brew install ffmpeg

Basic Installation

Install from PyPI 
pip install -U pip && pip install wheel
pip install subaligner
Install from source 
git clone git@github.com:baxtree/subaligner.git && cd subaligner
pip install -U pip
pip install .
:information_source: It is highly recommended creating a virtual environment prior to installation.

Installation with Optional Packages Supporting Additional Features

Install dependencies for enabling translation and transcription 
pip install 'subaligner[llm]'
Install dependencies for enabling forced alignment 
pip install --no-build-isolation 'subaligner[stretch]'
Install dependencies for setting up the development environment 
pip install --no-build-isolation 'subaligner[dev]'
Install all extra dependencies 
pip install --no-build-isolation 'subaligner[harmony]'

Note that subaligner[stretch], subaligner[dev] and subaligner[harmony] require eSpeak to be pre-installed:

Install eSpeak 
apt-get install espeak libespeak1 libespeak-dev espeak-data
brew install espeak
Also, if Python 3.12+ is used, you will need to install the following patch for those extras to fully function:
Install patched aeneas 
pip install --no-build-isolation -r requirements-py312-patched.txt

Container Support

If you prefer using a containerised environment over installing everything locally:

Run subaligner with a container 
docker run -v `pwd`:`pwd` -w `pwd` -it baxtree/subaligner bash

For Windows users, you can use Windows Subsystem for Linux (WSL) to install Subaligner. Alternatively, you can use Docker Desktop to pull and run the image. Assuming your media assets are stored under d:\media, open built-in command prompt, PowerShell, or Windows Terminal:

Run the subaligner container on Windows 
docker pull baxtree/subaligner
docker run -v "/d/media":/media -w "/media" -it baxtree/subaligner bash

Usage

Single-stage alignment (high-level shift with lower latency) 
subaligner -m single -v video.mp4 -s subtitle.srt
subaligner -m single -v https://example.com/video.mp4 -s https://example.com/subtitle.srt -o subtitle_aligned.srt
Dual-stage alignment (low-level shift with higher latency) 
subaligner -m dual -v video.mp4 -s subtitle.srt
subaligner -m dual -v https://example.com/video.mp4 -s https://example.com/subtitle.srt -o subtitle_aligned.srt
Generate subtitles by transcribing audiovisual files 
subaligner -m transcribe -v video.mp4 -ml eng -mr whisper -mf small -o subtitle_aligned.srt
subaligner -m transcribe -v video.mp4 -ml zho -mr whisper -mf medium -o subtitle_aligned.srt
Pass in a global prompt for the entire audio transcription 
subaligner -m transcribe -v video.mp4 -ml eng -mr whisper -mf turbo -ip "your initial prompt" -o subtitle_aligned.srt
Use the full subtitle content as a prompt 
subaligner -m transcribe -v video.mp4 -s subtitle.srt -ml eng -mr whisper -mf turbo -o subtitle_aligned.srt
Use the previous subtitle segment as the prompt when transcribing the following segment 
subaligner -m transcribe -v video.mp4 -s subtitle.srt --use_prior_prompting -ml eng -mr whisper -mf turbo -o subtitle_aligned.srt

(For details on the prompt crafting for transcription, please refer to Whisper prompting guide.)

Alignment on segmented plain texts (double newlines as the delimiter) 
subaligner -m script -v video.mp4 -s subtitle.txt -o subtitle_aligned.srt
subaligner -m script -v https://example.com/video.mp4 -s https://example.com/subtitle.txt -o subtitle_aligned.srt
Generate JSON raw subtitle with per-word timings 
subaligner -m transcribe -v video.mp4 -ml eng -mr whisper -mf turbo -ip "your initial prompt" --word_time_codes -o raw_subtitle.json
subaligner -m script -v video.mp4 -s subtitle.txt --word_time_codes -o raw_subtitle.json
Alignment on multiple subtitles against the single media file 
subaligner -m script -v video.mp4 -s subtitle_lang_1.txt -s subtitle_lang_2.txt
subaligner -m script -v video.mp4 -s subtitle_lang_1.txt subtitle_lang_2.txt
Alignment on embedded subtitles 
subaligner -m single -v video.mkv -s embedded:stream_index=0 -o subtitle_aligned.srt
subaligner -m dual -v video.mkv -s embedded:stream_index=0 -o subtitle_aligned.srt
Translative alignment with the ISO 639-3 language code pair (src,tgt) 
subaligner --languages
subaligner -m single -v video.mp4 -s subtitle.srt -t src,tgt
subaligner -m dual -v video.mp4 -s subtitle.srt -t src,tgt
subaligner -m script -v video.mp4 -s subtitle.txt -o subtitle_aligned.srt -t src,tgt
subaligner -m dual -v video.mp4 -s subtitle.srt -tr helsinki-nlp -o subtitle_aligned.srt -t src,tgt
subaligner -m dual -v video.mp4 -s subtitle.srt -tr facebook-mbart -tf large -o subtitle_aligned.srt -t src,tgt
subaligner -m dual -v video.mp4 -s subtitle.srt -tr facebook-m2m100 -tf small -o subtitle_aligned.srt -t src,tgt
subaligner -m dual -v video.mp4 -s subtitle.srt -tr whisper -tf small -o subtitle_aligned.srt -t src,tgt
Transcribe audiovisual files and generate translated subtitles 
subaligner -m transcribe -v video.mp4 -ml src -mr whisper -mf small -tr helsinki-nlp -o subtitle_aligned.srt -t src,tgt
Shift subtitle manually by offset in seconds 
subaligner -m shift --subtitle_path subtitle.srt -os 5.5
subaligner -m shift --subtitle_path subtitle.srt -os -5.5 -o subtitle_shifted.srt
Run batch alignment against directories 
subaligner_batch -m single -vd videos/ -sd subtitles/ -od aligned_subtitles/
subaligner_batch -m dual -vd videos/ -sd subtitles/ -od aligned_subtitles/
subaligner_batch -m dual -vd videos/ -sd subtitles/ -od aligned_subtitles/ -of ttml
Run alignments with pipx 
pipx run subaligner -m single -v video.mp4 -s subtitle.srt
pipx run subaligner -m dual -v video.mp4 -s subtitle.srt
Run the module as a script 
python -m subaligner -m single -v video.mp4 -s subtitle.srt
python -m subaligner -m dual -v video.mp4 -s subtitle.srt
Run alignments with the docker image 
docker pull baxtree/subaligner
docker run -v `pwd`:`pwd` -w `pwd` -it baxtree/subaligner subaligner -m single -v video.mp4 -s subtitle.srt
docker run -v `pwd`:`pwd` -w `pwd` -it baxtree/subaligner subaligner -m dual -v video.mp4 -s subtitle.srt
docker run -it baxtree/subaligner subaligner -m single -v https://example.com/video.mp4 -s https://example.com/subtitle.srt -o subtitle_aligned.srt
docker run -it baxtree/subaligner subaligner -m dual -v https://example.com/video.mp4 -s https://example.com/subtitle.srt -o subtitle_aligned.srt

The aligned subtitle will be saved at subtitle_aligned.srt. To obtain the subtitle in raw JSON format for downstream processing, replace the output file extension with .json. For details on CLIs, run subaligner -h or subaligner_batch -h, subaligner_convert -h, subaligner_train -h and subaligner_tune -h for additional utilities. subaligner_1pass and subaligner_2pass are shortcuts for running subaligner with -m single and -m dual options, respectively.

Advanced Usage

You can train a new model with your own audiovisual files and subtitle files,

Train a custom model 
subaligner_train -vd VIDEO_DIRECTORY -sd SUBTITLE_DIRECTORY -tod TRAINING_OUTPUT_DIRECTORY

Then you can apply it to your subtitle synchronisation with the aforementioned commands. For more details on how to train and tune your own model, please refer to Subaligner Docs.

For larger media files taking longer to process, you can reconfigure various timeouts using the following:

Options for tuning timeouts
  • -mpt [Maximum waiting time in seconds when processing media files]
  • -sat [Maximum waiting time in seconds when aligning each segment]
  • -fet [Maximum waiting time in seconds when embedding features for training]

Anatomy

Subtitles can be out of sync with their companion audiovisual media files for a variety of causes including latency introduced by Speech-To-Text on live streams or calibration and rectification involving human intervention during post-production.

A model has been trained with synchronised video and subtitle pairs and later used for predicating shifting offsets and directions under the guidance of a dual-stage aligning approach.

First Stage (Global Alignment):

Second Stage (Parallelised Individual Alignment):

Acknowledgement

This tool wouldn't be possible without the following packages: librosa tensorflow scikit-learn pycaption pysrt pysubs2 aeneas transformers whisper.

Thanks to Alan Robinson and Nigel Megitt for their invaluable feedback.

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