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

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

Allows users to quickly find the desired text in YouTube videos by showing the time, minute, and second intervals where the desired word or sentence appears in videos with subtitles or auto-generated subtitles.

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

This is an simple yet extraordinary and powerful Api to use. Instantly get Youtube video transcripts instead of waiting minutes. Easy developer access with most Youtube library support

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.

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.

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

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

YouTube Video Summarizer is an AI-powered tool that extracts key insights from YouTube videos, generating concise and meaningful summaries in seconds.

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.

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.

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.

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

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

Summarize your youtube videos with BART on streamlit app.

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

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

A full-stack Flask application that extracts subtitles from YouTube videos and generates key points using AI models.

A cli tool to search through transcripts of YouTube videos in batches or full-channel.

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

a simple Streamlit app that summarizes the transcript of any YouTube video using google gemma 3 model.