Documents and knowledge · Independent · 22 Oct 2026

ARahim3/DigUp

Search your computer by what's in your files: photos, PDFs, documents, recordings, videos and code. On-device on Mac, Windows and Linux, built on Google DeepMind's EmbeddingGemma 2.

← Documents and knowledge
DigUp: local multimodal search. Search your computer files by meaning and content.

In simple English

This tool searches the files on your computer by what they show, say or mean. You type a description in plain words, and it finds matching photos, videos, audio clips and documents. It runs entirely on your device so your files never leave your computer. Everything stays private and requires no internet connection after the first download. It is free and open source.

What it is

DigUp is a desktop application that indexes your local files into a searchable database using Google DeepMind's EmbeddingGemma 2 model. It runs as a menu bar or system tray helper, letting you press a shortcut from any app to search your folders.

What it is good for

Solo builders and researchers who need to find specific moments in recorded videos, lines in large document archives or exact screenshots without relying on cloud services.

Stars5.4k
LicenceMIT
Latestv0.6.2 (2026-10-21)checked 22 Oct 2026
Last code change2026-10-21
Written inSwift
Setup effort
2 / 5
Payoff
5 / 5
Good
  • Runs completely on-device for total privacy.
  • Understands images, audio, video and text in over 100 languages.
  • Jumps directly to the relevant page in a PDF or second in a video.
Watch for
  • Initial indexing of large folders takes time and processing power.
  • Requires downloading an 865 megabyte model before first use.
  • Requires a modern computer with sufficient memory to run local artificial intelligence models.
Replaces

Spotlight or Windows Search

Works well with

llama.cpp

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Install
brew install --cask arahim3/tap/digup

Independent: reviewed for Repo Radar outside the daily editions. Every independent repository

On Stack Radar: Productivity & Collaboration › Documents, Notes & Knowledge › Document Search & Indexing.

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