Automatic subtitles in your videos
This repository uses ffmpeg and OpenAI's Whisper (faster-whisper implementation) to automatically generate and overlay subtitles on any video.
Installation
To get started, you'll need Python 3.7 or newer. Install the binary by running the following command:
pip install git+https://github.com/Sirozha1337/faster-auto-subtitle.git@dev
You'll also need to install ffmpeg, which is available from most package managers:
# on Ubuntu or Debian
sudo apt update && sudo apt install ffmpeg
# on MacOS using Homebrew (https://brew.sh/)
brew install ffmpeg
# on Windows using Chocolatey (https://chocolatey.org/)
choco install ffmpeg
Usage
The following command will generate a subtitled/video.mp4 file contained the input video with overlayed subtitles.
faster_auto_subtitle /path/to/video.mp4 -o subtitled/
The default setting (which selects the small model) works well for transcribing English. You can optionally use a bigger model for better results (especially with other languages). The available models are tiny, tiny.en, base, base.en, small, small.en, medium, medium.en, large, large-v1, large-v2, large-v3.
faster_auto_subtitle /path/to/video.mp4 --model medium
Adding --task translate will translate the subtitles into English:
faster_auto_subtitle /path/to/video.mp4 --task translate
Run the following to view all available options:
faster_auto_subtitle --help
Tips
The tool also exposes a couple of model parameters, that you can tweak to increase accuracy.
Higher beam_size usually leads to greater accuraccy, but slows down the process.
Setting higher no_speech_threshold could be useful for videos with a lot of background noise to stop Whisper from "hallucinating" subtitles for it.
In my experience settings option condition_on_previous_text to False dramatically increases accurracy for videos like TV Shows with an intro song at the start.
You can use sample_interval parameter to generate subtitles for a portion of the video to play around with those parameters:
faster_auto_subtitle /path/to/video.mp4 --model medium --sample_interval 00:05:30-00:07:00 --condition_on_previous_text False --beam_size 6 --no_speech_threshold 0.7
License
This script is open-source and licensed under the MIT License. For more details, check the LICENSE file.