![]() $ youtube-dl -o ytdl-subs -skip-download -write-sub -sub-format vtt " " # install youtube-dl & clone glasslion's vtt2text.py script He showed how to programatically fetch vtt caption files from google/youtube in bulk, then use webvtt and pandas dataframe in python to parse and extract the caption content, including formatting it into tidy csv files to use as a downstream NLP corpusįyi I wrote a little more about this package and also glasslions script at the youtubedl subreddit, so that thread might have some other info later on. I learned about it from a blog post written by William Morgan. Just wanted to say that in my use case I prefer the way it merges multiple lines into a less-fine-grained time thanks a lot for sharing this and others, if you want more control over the parsing and the structure of the output format, check out the webvtt-py python package. Hello, I personally was looking for a simple minimal script that performed just this function: parsing vtt, discarding timecodes, merging chronologically close lines into a larger block, and outputting the result in a human-readable txt file. It connects together way too many lines and messes up timestamp. ![]() name "*.vtt" -exec python vtt2text.py $', line): To conver all vtt files inside a directory:įind. Luckily youtube-dl can convert ass to vtt, which Note that default subtitle format provided by YouTube is ass, which is hard Youtube-dl -skip-download -convert-subs vtt Convert YouTube subtitles(vtt) to human readable text.ĭownload only subtitles from YouTube with youtube-dl:
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