Semantic Offline File Search: Find Files by Mean…

Last updated: 5 November 2026

“Semantic search” means finding things by meaning instead of exact words. Applied to the files on your own computer — and run offline — it lets you type “the slide with the blue revenue chart from the Q3 review” and get the right file, even if none of those words appear in its name.

1. Three kinds of file search

Type	Matches on	Misses
Filename	Name, extension, date	Anything you don’t remember the name of
Full-text	Exact words inside documents	Synonyms, images, scans, audio
Semantic	Meaning of text, images, audio, video	Exact-string precision (use filename search for that)

2. How semantic search works, briefly

An embedding model turns each file (or each page or moment within it) into a vector. Your query is turned into a vector too, and the closest vectors are returned. The index lives on disk, so no server is needed after setup.

3. Why offline matters

Contracts, medical letters, source code and client recordings are exactly the files you most need to find — and least want to upload. Offline semantic search keeps both the index and the model on your machine.

4. What AIFindTool does

AIFindTool is our local semantic file search app.

Reads only the folders you choose: pictures, PDFs, documents, recordings, video and code (code is off by default). Results open at the matching page or moment.
The model runs locally; files are not uploaded. The network is used only to download the EmbeddingGemma 2 model, for app updates, and for opt-in anonymous stats.
90+ formats. zip/tar/gz/tgz archives are searchable; rar/7z are not. Email attachments are not read yet. Encrypted Office files and DRM e-books are not supported.
Scanned PDFs are searched by visual content, with OCR for garbled text layers.
Platforms: macOS 14+ (Apple silicon), Windows 10/11, Ubuntu 24.04+, Android 8.0+ arm64 (beta).

Note: the app’s MIT license does not cover EmbeddingGemma 2 (Google DeepMind). Check the model terms before commercial use.