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

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.

Expand upon the youtube-transcript-api and allow users to easily request all of a channel's (and maybe a playlist's) video captions. Will require use of Youtube Data API v3

A "finish the lyrics" game using Spotify, YouTube Transcript, and YouTube Search APIs, coupled with speech recognition and visual machine learning.

YouTube video transcripts into readable Markdown format with paragraph formatting.

Convert YouTube playlists & videos to clean Markdown. Features multiple transcript sources (official, Whisper, yt-dlp), batch processing, smart formatting, and progress tracking. Perfect for research & notes.

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

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.

Developed an LLM application using the YouTube Transcript API and Google Gemini AI to generate clear summaries of YouTube videos. It extracts transcripts in various languages and uses AI to provide actionable insights. Built with Streamlit, the app features an intuitive interface for quick and efficient video summarization, boosting productivity.

YouTube Video Transcript Summarizer with Gemini API

Summarize your youtube videos with BART on streamlit app.

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

Command-line tool for fetching YouTube video transcripts with preferred languages, caching, and clipboard-friendly output.

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

Easy implementation of youtube transcription api on flask

RAG system for YouTube transcripts using LangChain, WatsonX, and FAISS. Enables smart Q&A and summarization.

A Streamlit web app that extracts transcripts from YouTube videos and generates concise summaries using Google Gemini Pro. Enter a YouTube link to get key points and detailed notes in seconds. Powered by LLMs and the YouTube Transcript API.

a simple Streamlit app that summarizes the transcript of any YouTube video using a transformer-based model.