Collect available subtitles
Prepare time-stamped text from videos, including batch and playlist workflows.
Research utilities
YouTube Analyzer
From long videos
to useful material.
Turn YouTube subtitles into time-stamped transcripts, relevant quotes and files you can use for further analysis.
Local Python utility
A research workflow
01Video & subtitles
02Time-stamped transcript
03Relevant quotes
THE IDEA
YouTube Analyzer, in a few words.
A local research pipeline for working with videos and playlists. It gathers available subtitles, filters passages by keywords, and prepares structured output for your next analysis step.
For researchers and creators working with long video discussions.
What you can explore
01 / 02 / 03Find relevant passages
Filter the transcript with keywords and export quotes with their time context.
Continue the research
Use text and CSV outputs, plus speaker-related artifacts where supported, in your analysis workflow.
THE FLOW
- Choose your videos
- Extract and filter text
- Review the output
WHERE IT STANDS
Local Python utility
This is a local Python utility. A hosted upload interface is not available.
Results depend on subtitle availability and quality. Review transcripts and speaker assignments against the source video.