video-summarization

NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.

Python API & command-line tool to easily transcribe speech-based video files into clean text

An AI-powered tool for transcribing, summarizing, and creating smart clips from video and audio content.

An AI-powered tool for summarizing YouTube videos by generating scene descriptions, translating them, and creating subtitled videos with text-to-speech narration

Local NotebookLM for Claude Code via Google Antigravity (agy / Gemini 3.x): /agy:notebook turns a folder of documents into per-doc summaries + a relevance index + a cited synthesis + Q&A. Plus audio/video transcription, deep web research with citations & branded HTML reports. 13 commands, no Node runtime.

Multimodal summarization of user-generated videos from wearable cameras

Video Summarization - Summarized a video lecture and converted it to a slideshow using Speech-to-text, Keyword extraction and OpenCV Shot detection.

An AI-powered tool that transforms long videos into engaging YouTube Shorts, Instagram Reels, and other social media clips with maximum impact and virality.