This repository houses a Python application for extracting YouTube video transcripts and summarizing its content.
AI-powered YouTube video chat application. Ask questions about any YouTube video and get precise timestamped answers. Runs completely locally with no API costs - your privacy guaranteed.
YouTube scraping & statistics GUI app with NLP, NLTK, wordcloud, transcript analysis, comment analysis, sentiment analysis using PySide6 (Qt6).
AI-powered interview transcript analysis platform built with FastAPI, LangGraph, and Next.js 15. Transform interview transcripts into actionable insights using Claude AI with timeline extraction, entity recognition, and sentiment analysis.
A new package designed to analyze and summarize video content by processing pre-extracted textual information such as transcripts, subtitles, and descriptions. It leverages structured pattern matching
AI-powered transcript analysis microservice for the Jubal ecosystem. Provides multi-step profile-based processing with local and cloud LLM integration.
A Streamlit app that turns transcripts into boardroom-ready SWOTs and forecasts, using Ollama LLMs and real financial data.
Streamlined video understanding with the help of language models
EmacsConf 2024 conference notes, transcript processing, and analysis tools
AI research engine that searches YouTube, academic papers, and podcasts — scores every source for substance, credibility, and transcript depth. Builds a compounding knowledge graph. Creates queryable NotebookLM notebooks. MCP server for Claude Code. Free alternative to Perplexity Pro and Elicit.
Ask questions about any YouTube video using AI-powered retrieval and GPT-based answers. Built with Streamlit, LangChain, FAISS, and OpenAI.
Add a description, image, and links to the transcript-analysis topic page so that developers can more easily learn about it.
To associate your repository with the transcript-analysis topic, visit your repo's landing page and select "manage topics."