All projects

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

YouTube Analyzer project illustration

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 / 03
01

Collect available subtitles

Prepare time-stamped text from videos, including batch and playlist workflows.

02

Find relevant passages

Filter the transcript with keywords and export quotes with their time context.

03

Continue the research

Use text and CSV outputs, plus speaker-related artifacts where supported, in your analysis workflow.

THE FLOW

  1. Choose your videos
  2. Extract and filter text
  3. 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.

See all projects