DigUp is an open-source desktop app for macOS, Windows, and Linux that indexes local files for semantic search using Google DeepMind's EmbeddingGemma 2 model. It runs entirely on your hardware, processing text, images, audio, and video into a 740M parameter embedding space so you can query files using natural language. The initial run downloads an 865 MB model and indexes your selected directories locally without sending data to external servers.
It is worth installing if you regularly hunt through unindexed mixed-media directories and want something faster than grep or Spotlight for conceptual queries. The catch is that it requires a modern machine to index smoothly and relies on external players to jump directly to specific timestamps in media files. Skip it if you only need exact-match text searches or refuse to run local ML models in the background.
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