youtube-transcript-to-lecture-notes

What problem does it solve?

Manually converting YouTube video transcripts into structured, academic-quality lecture notes is a time-consuming and inefficient task for students, educators, and professionals. This Skill automates the entire process, transforming raw, conversational transcripts into organized, educational materials.

Core Features & Use Cases

• Intelligent Content Structuring: Automatically segments raw transcripts into logical sections and subsections using advanced NLP techniques.
• Content Enhancement: Extracts key concepts, generates contextual definitions, and creates illustrative examples to enrich the educational value.
• Dual Output Formats: Produces both print-ready PDF and interactive HTML lecture notes, ensuring identical content across formats for versatile learning.
• Use Case: An online learner needs to quickly review a series of complex technical lectures. Instead of re-watching or manually taking notes, they can feed the transcripts into this Skill to get structured, searchable notes in minutes, saving significant study time.

Quick Start

Example: Convert a YouTube transcript to lecture notes

from lecture_notes_converter import LectureNotesConverter

Assume 'transcript.txt' contains your YouTube transcript

Create converter instance

converter = LectureNotesConverter()

Convert transcript, specifying output directory and title

result = converter.convert( transcript_file='transcript.txt', output_dir='output', title='My Lecture Title' )

if result['success']: print(f"PDF: {result['pdf_path']}") print(f"HTML: {result['html_path']}") else: print(f"Error: {result['error']}")