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Worked example

From a twelve-lecture playlist and two textbooks to a searchable study corpus

A public lecture playlist and two public-domain textbooks become one set of transcripts, summaries and chunked JSON, ready for revision or a personal AI index.

Segment
Graduate student
Industry
Education and research

This is a reproducible walkthrough on public material, not a customer testimonial. Metrics are derived from published unit prices and limits.

Published · Reviewed

Situation

A student is revising a course delivered as a YouTube playlist, with two recommended textbooks that are out of copyright.

Problem

Rewatching twelve hours of lectures is not revision, and the textbooks were only available as scans from different archives.

Approach

Batch the playlist into transcripts, find the textbooks once through Open Library, extract everything with anchors, and export chunked JSON for a personal search index.

Implementation

  1. Paste the playlist link on the transcript page (Pro batch): twelve transcripts with timestamps, one download (12 units).
  2. Search Open Library by title; download the public-domain editions into the Document Extractor (1 unit each, then extraction).
  3. Summarize each lecture at Standard quality for chapters and questions (10 units each).
  4. Export the textbooks as RAG-ready chunked JSON with page and character offsets, for a local vector store.
  5. Use Ask This Source on a lecture before the exam; answers cite the timestamp.

Result

  • Twelve lectures and two books in one history, each point traceable to a second or a page.
  • The same extraction is available through the API, so the index can be rebuilt with one script.

Metrics

Metrics and how each was derived
MetricValueBasis
Quota usedabout 136 units12 transcripts + 2 downloads + 2 extractions + 12 summaries at 10, at published unit prices; within the 2,000-unit Pro month.
Sources searched at once6Google Books, Open Library, Project Gutenberg, arXiv, OpenAlex and the Internet Archive.

Related capabilities

YouTube Transcripts

Paste a YouTube link and get the full transcript with timestamps, in the video's own language or translated, as text or SRT subtitles.

About YouTube Transcripts

Open Library

One search across Google Books, Open Library, Project Gutenberg, arXiv, OpenAlex and the Internet Archive; download what is free to keep.

About Open Library

Document Extractor

Extract clean text and LLM-ready Markdown from PDF, DOCX, PPTX, XLSX, TXT, EPUB and HTML, with OCR for scans, then export in nine formats.

About Document Extractor

AI Summary, Ask and Create

Summarize any source into an overview, key points and timestamped chapters; ask questions with citations; create posts, briefs and scripts from it.

About AI Summary, Ask and Create

Reproduce this on your own source

The steps above use the same tools and prices you get; start with the first one.