Edit Mind

Hey 👋,

I'm Ilias Haddad, a software developer and content creator (on the side). I love creating and capturing videos, but with that, I accumulated a lot of videos, which makes it hard for me to manage and search across all of them.

A project that started as a personal solution that transcribes videos only using Whisper, envolles to include video frame analysis, multi-modal embedding, chat assistant, image and text search.

What I need from you:

• Feedback on the UX/workflow

• Bug reports and edge cases

• Ideas for new analyzer plugins

• Contributors interested in local-first AI tools

The tech stack is Express.js + React Router V7 + Python (PyTorch, Whisper, YOLO) + PostgreSQL + ChromaDB.

Full Docker support for easy deployment.

Try it, break it, and let me know what you think!

Github Link: https://github.com/IliasHad/edit-mind

Showcase Video: https://youtu.be/YrVaJ33qmtg?si=BDjJDpJKr_VIHqEE

congrats @iliashaddad3 this looks great. looks powerful. can't wait to try it.

Local video search tends to buckle when libraries hit tens of thousands of clips and you need fast reindexing plus precise timecodes for “exact moment” retrieval.

A solid pattern is segment-level indexing with VAD, word-level alignment and diarization via WhisperX on top of faster-whisper, then store vectors + metadata with strong persistence (often Postgres + pgvector) to keep one backup and one query plane. :contentReference[oaicite:0]{index=0}

How are you modeling segment boundaries and syncing Postgres IDs to Chroma collections today, and do you plan a deterministic reindex pipeline for model upgrades without breaking existing links?

The local video library seems to be limited, is there a way to open it to a search in youtube (like top 30 videos) etc