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New macOS AI search tool indexes local photos and videos for natural language queries

🔄 Updated 1h ago
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Key points

  • Local-first AI search for macOS photos and videos.
  • Uses natural language queries and on-device inference.
  • Segments video scenes and performs OCR on text.
  • Integrates Whisper for spoken dialogue search.

Local-First AI Media Search

A new macOS application provides AI-powered search capabilities for local photo and video libraries. This tool operates entirely on the user's machine, eliminating the need for cloud accounts, uploads, or internet connectivity after initial setup. Inference runs locally, ensuring user privacy.

Advanced Search Functionality

The application allows users to search their media using natural language descriptions. It segments video scenes to pinpoint specific moments, rather than just files. Additionally, it incorporates Optical Character Recognition (OCR) for visible text within media and utilizes Whisper for searching spoken dialogue.

Library Management and Privacy

Features include self-maintaining libraries with auto-import from watched folders, content hashing for deduplication, and background re-embedding when models are switched. The tool emphasizes privacy, stating that media never leaves the user's machine. Model weights are downloaded once and then operate offline.

Technical Details and Installation

The application is built for macOS and uses Bun as its package manager and runner. Installation is available via Homebrew, which handles macOS Gatekeeper requirements automatically. The project also provides commands for development and building the application.

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Reporting from

A new macOS application offers local-first AI search for photos and videos, allowing users to query media using natural language. The tool processes content on-device, including OCR for text and Whisper for spoken dialogue, without cloud uploads.