Specify a github or local repo, github pull request, arXiv or Sci-Hub paper, Youtube transcript or documentation URL on the web and scrape into a text file and clipboard for easier LLM ingestion

Turn any YouTube video into a documentation link

Java library which allows you to retrieve subtitles/transcripts for a single YouTube video or for an entire playlists or channels.

A Python app using YouTube Transcript API & Google's Gemini Pro GenerativeAI for automatic summarization. Built with Streamlit, it allows users to input YouTube video links and receive detailed summaries, enhancing accessibility and efficiency.

Get youtube transcript with Swift

YouTube video transcripts into readable Markdown format with paragraph formatting.

In this project I have built an end to end YouTube video summarizer LLM app with Google Gemini Pro and Streamlit.

Upload chunks from a Youtube Channel's videos to an Arguflow instance

An extension that gives you answers and summaries based on the YouTube video you're watching in the current tab.

Transcribus is a Flask web app that condenses YouTube videos into brief summaries and highlights using YouTube's API and ChatGPT for quick comprehension.

YouTube Video Transcript Summarizer with Gemini API

Fetch the transcript of all the videos in a Youtube channel, built with django-channels and youtube-transcript-api

AI-powered tool that transforms YouTube videos into interactive learning courses — chapters, quizzes, summaries, and code.

Summarize your youtube videos with BART on streamlit app.

yt-transcript-gpt is a Streamlit-based desktop/web app to extract YouTube video transcripts, enrich them with AI-powered analysis, and interact via chat—all in one place.

AI Agent that turns YouTube videos into beautifully-structured Notion pages

A full-stack AI app that generates quality summaries of YouTube videos, downloads videos at all available resolutions, and analyzes content creators.

Easy implementation of youtube transcription api on flask

App that answers questions about any YouTube video using its transcript. Built using Retrieval-Augmented Generation (RAG) with LangChain, vector stores, and LLMs.