# IliasHad/edit-mind

Local-first Video Knowledge Base. Index your video library with multi-modal analysis (YOLO, DeepFace, Whisper), search semantically via natural language, Docker-ready.

Repository: https://github.com/IliasHad/edit-mind
Canonical: https://ross.abutalabs.com/products/edit-mind
Homepage: https://edit-mind.com
Language: TypeScript
License: NOASSERTION
License Family: other
Topics: ai, face-recognition, ml, video-indexing, video-processing, computer-vision, video-editing, deepface, self-hosted, videos
Last push: 2026-06-30T10:28:37+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 90, release rhythm 90, longevity 22
- inputs: {"age_days": 317, "days_push": 64, "days_rel": 66, "gap_med": 6.0, "n_releases_24m": 17}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1789, forks 121 (observed 2026-08-28T04:05:36.472368+00:00)

## What it is
Edit Mind is a local-first video knowledge base that indexes video libraries with multi-modal AI analysis (Whisper transcription, YOLO object detection, DeepFace face recognition) and enables natural-language semantic search over video content via ChromaDB. It is a self-hosted, Docker-ready application with a TypeScript web frontend and Python ML service, still in active development toward v1.0.

## Use cases
- search my video footage by spoken words
- find scenes in videos by describing them in natural language
- index a large video library locally with AI
- find clips containing a specific face or object
- search raw footage for video editing without cloud services
- self-host a private video search engine with Docker

## When to choose
- you have large local video libraries and want privacy-preserving semantic search
- you are a video editor who needs to locate scenes, faces, or spoken phrases across footage
- you want a fully local, self-hosted alternative to cloud video search
- you have Docker and a machine capable of running local ML models

## When to avoid
- you need a production-ready, polished product with support guarantees
- you cannot run Docker or lack hardware for local ML inference
- you need cloud-scale or multi-user enterprise video management
- you want a finished video editor rather than a search/indexing companion

## Facets
- artifact type: application
- maturity: experimental
- function: search-engine, video-processing, machine-learning, computer-vision, speech-recognition, rag, self-hosted
- domain: computer-vision, machine-learning, media, self-hosted
- platform: self-hosted, cross-platform
- tags: video-indexing, semantic-search, chromadb, whisper, yolo, deepface, local-first, video-knowledge-base, face-recognition, transcription, video, search, docker, web-server

## Member repositories
- IliasHad/edit-mind (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:36.472368+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:23:18.373255+00:00, confidence not recorded.
  - readme: https://github.com/IliasHad/edit-mind (fetched 2026-08-28T04:05:36.472368+00:00, sha c62aca070be5)
  - homepage: https://edit-mind.com (fetched 2026-08-29T11:02:27.039088+00:00, sha 0cffd5759df9)
- Data as of 2026-08-30T08:39:29.467469+00:00.