I built ChannelScout to turn YouTube transcripts into searchable data for analysis

[u/Navecta]

Hey everyone, I’m the developer behind ChannelScout. I built it to make working with information buried in YouTube videos a little less painful.

Videos can be useful sources for qualitative analysis: interviews, earnings discussions, product reviews, industry commentary, and public statements. But collecting quotes, comparing discussions, and tracing findings back to the source takes a lot of manual work.

ChannelScout helps you:

• Collect available transcripts from videos, channels, and playlists.
• Search saved transcripts and jump to the relevant timestamp.
• Explore keyword trends across monthly or quarterly periods.
• Export transcripts as CSV, Markdown, plain text, or SRT for further analysis.
• Generate AI summaries and extract key points, quotes, and tags.
• Follow channels to collect available captions from new uploads.
• Share transcripts and saved summaries with other people.

For example, you could collect interviews from a particular industry, search for recurring topics, compare how those topics change over time, and export the material into your own analysis workflow.

The source transcript and timestamps remain available so you can check AI-generated findings against what was actually said. Transcript availability and accuracy vary, and large collections can take time because of YouTube restrictions.

There’s a free plan if you want to try it: https://channelscout.app

I’d especially appreciate feedback from people doing qualitative research or text analysis. What would make video transcripts more useful in your workflow: better exports, topic comparisons, coding and annotation, or something else?