Omni – Local-first multimodal file search on macOS

What it does

Omni searches your local files by meaning - text, code, PDFs, images, audio, and video in one vector space, in any language. Runs on-device on Apple silicon. Private, offline.

Text, code, PDFs, images, audio, and video - in any language, entirely on-device. Download the model once, then run fully offline. Search in English, match notes in German, Chinese, or Japanese - queries and files meet by meaning, not by keyword, scanned pages included. Every file becomes a dot, clustered by similarity and colored by type. Click a dot to spotlight its nearest neighbors - duplicates, drafts, and forgotten corners stand out at a glance. A native MLX-Swift port of jina-embeddings-v5-omni runs in-process on the GPU - tens of thousands of tokens per second on recent chips, measured in the open rather than claimed. List and Gallery views, real QuickLook thumbnails, drag and drop,…from hanxiao.io

In the maker’s words, at launch

Finally made something I've always wanted, using the model we built. • SOTA omni embedding model, fully local, indexes text, PDF, image, audio, and video • Swift-native app UI + mlx-swift-transformer core. No Python. • Tested on M3 Pro 18G / M3 Ultra 512G / M4 Pro 48G. All work fine. • HTTP server exposes…

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