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Edit Mind

Edit Mind

AI-Powered Local Video Search & Analysis

Website github.com
Overview

What it is

A project built to help you transcribe, analayze and index your personal video library to help you search for the "exact" part of the video you're looking for with the help of local ML models and a local vector database. Your videos will never leave your computer or server (Docker support).

Intent

I need it when

Search and retrieve specific video content by spoken words, objects, or faces without relying on cloud services

Edit Mind indexes videos locally using multi-modal AI analysis (Whisper transcription, YOLO object detection, DeepFace recognition) and enables semantic search via natural language queries against ChromaDB vector database, keeping all data private on-premises

Build a searchable video knowledge base for editorial or production workflows

Edit Mind automatically processes video files with frame analysis, transcription, and metadata extraction, then surfaces results through semantic search, enabling editors to quickly locate scenes, dialogue, or visual elements without manual tagging

Analyze video content using open-source AI models while maintaining data privacy

Edit Mind supports local Ollama models or Google Gemini API for NLP, uses open-source Whisper for transcription and YOLO/DeepFace for vision tasks, allowing users to choose between fully local processing or selective API usage

Deploy video indexing infrastructure on existing Docker-based infrastructure

Edit Mind runs entirely in Docker containers with Docker Compose orchestration, supports NVIDIA GPU acceleration, and integrates with PostgreSQL and ChromaDB, making it compatible with existing containerized environments

Drop

Not a fit when

  • User requires cloud-hosted solution without Docker setup or server management
  • User needs real-time video processing with sub-second latency for live streaming
  • User operates in environment where local GPU/compute resources are unavailable
  • User requires commercial SaaS support and guaranteed uptime SLAs
  • User has video library exceeding local storage capacity without external storage integration
Commercials

Pricing

Free open-source self-hosted version; commercial desktop app with early-bird lifetime license option