Claude Code skill that transcribes audio/video with whisper.cpp to get structured critical analysis including timestamped summaries, evidence notes, logical fallacies, and underdeveloped areas

Free and open-source software for computer-assisted qualitative data analysis

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).

Claude Code session capture and analysis. Trace tool calls, detect backtracks, analyze decisions, track edit chains, and measure plan drift. Local-first, zero-dependency observability.

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

FastAPI AI workflow backend: RAG, transcript analysis, approvals, CRM handoff, outbox, Docker, n8n, Telegram.

Instruments for inquiry: reusable prompts, frameworks, and riff protocols for LLM work.

AI-powered meeting analytics dashboard that converts transcripts into sprint plans, risks, and actionable engineering insights.

AI-powered transcript analysis — extract summaries, action items, decisions, timelines & more using Google Gemini or OpenAI. MIT licensed.

Capture and analyze Claude Code sessions locally to track every tool call, decision, and reasoning step without external dependencies.

A Streamlit app that turns transcripts into boardroom-ready SWOTs and forecasts, using Ollama LLMs and real financial data.

Public ExtraHirn starter for turning meeting transcripts into useful notes, action registers and visual briefs.

Streamlined video understanding with the help of language models

Transcript analysis of Ted Talks

A local-first tool for mapping video transcripts to structured learning segments, themes, and objectives. Part of the CloudPedagogy AI Capability and Human–AI Governance ecosystem.

Companion ML pipeline for ThoughtTracker: transcript ingestion, stance inference, topic relevance, reranking, and gold-standard policy artifacts.

Description (short, one line): Cross-platform desktop app for analyzing meeting transcripts — AI-powered Q&A extraction, keyword analysis, and attendance tracking.