Edit Mind

Edit Mind is a local-first video indexer that analyzes your video library with AI to generate rich metadata and embeddings for semantic search. It helps you find specific moments by querying spoken words, detected objects, faces, and more, then jump to or export matching scenes.

Key Features

• Automated video ingestion via watched folders and background job processing
• AI analysis including transcription, object/text detection, face recognition, and scene-level metadata
• Multi-modal embeddings (text, visual, audio) stored in a vector database for similarity search
• Natural-language query understanding to retrieve relevant videos and scenes
• Web interface to browse results, preview scenes, and export/stitch clips
• Supports multiple AI backends, including local models and Ollama (plus optional cloud NLP)

Use Cases

• Search personal or team video archives for specific topics, people, or moments
• Quickly locate key scenes for editing, highlights, and compilations
• Build “smart collections” that auto-group videos by semantic criteria

Limitations and Considerations

• Actively developed and not yet production-ready; features may be incomplete and bugs can occur
• AI analysis can be compute-intensive and may require significant CPU/GPU resources for large libraries

Edit Mind fits creators and teams who want privacy-preserving, searchable video libraries without relying on external hosting. Its pipeline approach and vector search make it especially useful for finding precise moments across large collections.