Use Case – YouTube Transcript and Summary Automation

This self-initiated project explores how AI can turn YouTube video transcripts into concise summaries—streamlining content into useful, actionable insights.

Manual time
15–25 min

Automated time
< 2 min

Speed gain
Up to 12x

Problem / challenge

Manually processing YouTube videos for research or reference was slow and repetitive. For a typical 10–15 minute video, the process could take 15–25 minutes when factoring in loading the video, skimming or fully watching it to capture context, copying the transcript, summarizing the key points, formatting the output, and organizing files into Google Drive with matching metadata in Google Sheets.

Outcome

Pipeline drops to under 2 minutes per video
Transcript and summary created for every link
Files and links organized in Drive and one Sheet
Handles hundreds of videos without extra effort

Watch in action – coming soon

Approach

1

Content queue: Pull video URLs from Google Sheets.
2

Transcript extraction: Use Apify to fetch transcript and key metadata.
3

Al summarization: Generate a concise summary with timestamps and takeaways.
4

File generation: Create clearly named txt files for transcript and summary.
5

Cloud storage: Upload files to Google Drive and return direct links.
6

Centralized reporting: Log links, metadata, and status back to Google Sheets.