Edit Mind – AI-powered local video search and analysis

Summary: Edit Mind transcribes, analyzes, and indexes personal video libraries using local machine learning models and a vector database, enabling precise video segment search without uploading data externally. It supports multi-modal embedding, video frame analysis, and text/image search, all running locally with Docker deployment.

What it does

Edit Mind uses Whisper for transcription, YOLO for frame analysis, and multi-modal embeddings to index videos locally. It integrates a chat assistant and supports image and text search through a PostgreSQL and ChromaDB backend.

Who it's for

It is designed for users managing large personal video collections who need efficient local search and analysis tools.

Why it matters

It solves the challenge of finding exact video segments quickly while keeping all data private on the user’s device or server.