"AI-powered YouTube Transcript Summarizer that extracts key insights, keywords, topics, and sentiment from video transcripts using NLP and Streamlit."
AskYouTube transforms any YouTube video into an interactive live chat stream. Built with LangChain, FastAPI, and Gemini Flash-Lite, the application extracts video transcripts, generates local vector embeddings, and delivers accurate, context-aware answers inside an authentic YouTube dark-mode interface.
A Streamlit-based web app that generates structured summaries of YouTube videos using Google Gemini AI, supports videos without subtitles via Faster-Whisper, and allows PDF export of summaries.
A YouTube transcript summarizer is a tool that helps you quickly grasp the key points of a YouTube video without having to watch the entire thing. It works by extracting the transcript of the video and then using sophisticated text analysis techniques to condense it into a shorter, more manageable format using Google Gemini Pro model.
BlogBot is a Python script that create blogs from YouTube videos.
VerbaVista is an LLM-powered Streamlit app that transforms any YouTube video into structured English notes and an interactive chatbot. It automatically fetches, translates, chunks, and embeds transcripts using Gemini + LangChain, enabling contextual Q&A through a RAG pipeline with Chroma.
Simple program to create and download YouTube video transcripts using YouTubeTranscriptApi.
A Streamlit app that converts YouTube video transcripts into concise or detailed notes. It fetches the transcript, generates AI-powered summaries (small, medium, large), and saves them in a local SQLite database for easy viewing and management.
The YouTube AI Transcriber & Processor is a Python tool that extracts and analyzes YouTube video transcriptions using the Groq AI model, enabling content summarization and sentiment analysis. 🚀
Coleção organizada de scripts Python reutilizáveis.
Summarize PDF, TXT, and Markdown documents with this Gemini-powered agent to extract key takeaways, analyze text, and perform grounded Q&A.
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