Edit Mind

About Edit Mind

Edit Mind is a local-first tool for transcribing, analyzing, and indexing personal video libraries using on-device ML models and a local vector database. It lets you search for exact moments across audio, text, and visual content while keeping your videos on your own machine (Docker support available).

Review

Edit Mind combines speech-to-text, frame analysis, and multi-modal embeddings to make specific moments in large personal video collections findable. The project emphasizes privacy and extensibility, targeting users who want local processing and the ability to customize or extend analyzers.

Key Features

• Local transcription and alignment using Whisper-based models for searchable text and timecodes.
• Frame analysis and object detection powered by YOLO for image-based search and visual indexing.
• Multi-modal vector search across text, audio, and visual embeddings with a local vector database (ChromaDB/Postgres integrations).
• Chat assistant and analyzer plugin system to query and interact with indexed content.
• Full Docker support for straightforward deployment and a code-first approach with Express.js, React, Python (PyTorch), and PostgreSQL.

Pricing and Value

Edit Mind is offered as a free, open source project with its source available on GitHub (GitHub). The value proposition centers on privacy (videos never leave your server), extensibility for developers, and cost savings compared with hosted SaaS alternatives; however, users should factor in setup time and resource costs for running local models and storage.

Pros

• Local processing keeps media private and under your control.
• Open source codebase makes it easy to audit, extend, and integrate into custom workflows.
• Multi-modal search (audio, text, image) enables precise retrieval of specific moments within videos.
• Docker support and common stack components simplify deployment for technically inclined users.
• Fast image-based queries thanks to a local vector database, with many users noting quick response times for visual searches.

Cons

• Performance can slow as libraries scale to thousands of videos; text queries across multiple vector collections may take noticeably longer in large setups.
• Requires technical setup and maintenance (models, database, indexing pipeline), which may be a barrier for non-technical users.
• Focused on local libraries-out-of-the-box support for searching external platforms (e.g., YouTube) is limited.

Overall, Edit Mind is a strong fit for creators, researchers, and developers who need private, searchable access to personal video archives and are comfortable managing local infrastructure. It works best for users willing to invest some setup time for a customizable, open source solution that keeps media on-premises.

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