Youtube-Summariser and YouTube-Summarizer

Both tools are competing implementations of the same functionality—automatic YouTube video summarization using NLP—designed to serve identical use cases where users need to extract key information from video transcripts rather than watch them entirely.

Youtube-Summariser
43
Emerging
YouTube-Summarizer
30
Emerging
Maintenance 0/25
Adoption 9/25
Maturity 16/25
Community 18/25
Maintenance 0/25
Adoption 6/25
Maturity 9/25
Community 15/25
Stars: 71
Forks: 16
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 20
Forks: 4
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About Youtube-Summariser

somanyadav/Youtube-Summariser

Summarise YouTube videos and save time!

Extracts YouTube transcripts and applies multiple NLP techniques—including extractive methods (Gensim, NLTK, Spacy, TF-IDF) and abstractive summarization via T5—with configurable summary length. Includes built-in translation via deep_translator and text-to-speech synthesis for accessibility. Built as a Streamlit web application with a pipeline that chains transcript extraction, algorithm selection, and multi-language output generation.

About YouTube-Summarizer

veeravignesh1/YouTube-Summarizer

Using NLP and Summarization Techniques to extract the key information of the video

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