Question 1

What is Digger Solo?

Accepted Answer

An AI file explorer that searches and organizes your local files with machine learning. Find documents, images, and PDFs by concept, detect duplicates, and see how files connect, all while your data stays on your own machine.

Question 2

Where are my files processed?

Accepted Answer

All files are processed locally. Nothing leaves your machine.

Question 3

What file types are supported?

Accepted Answer

Documents (PDF, docx, html, epub, txt, md), images (PSD, jpg, png, svg, webp, heic, avif), audio (mp3, flac, wav), and video (mp4, mov, webm, avi, gif, flv).

Question 4

How does the search work?

Accepted Answer

It combines exact text matching with machine learning to understand context and meaning, so you can find files by concept rather than filename. Works on image content, PDFs, and video too.

Question 5

What hardware is recommended?

Accepted Answer

Semantic search and file mapping require a modern CPU and at least 8GB of RAM.

Question 6

Can it search inside PDFs?

Accepted Answer

Yes. Digger Solo searches the full text of every PDF in your collection and finds documents by concept, not just keyword.

Question 7

Where is metadata stored?

Accepted Answer

In a SQLite database at ~/.config/digger/digger.db, an open, portable format you can back up and tinker with.

Question 8

How does the LLM chat feature work?

Accepted Answer

LLM Chat is entirely opt-in. You bring your own OpenAI-compatible API key to unlock natural-language conversations with your files. Nothing is sent to a third party without your explicit setup.

Question 9

How does the Smart Music Player work?

Accepted Answer

Audio files are analyzed and embedded into a semantic vector space. The player finds songs with similar acoustic characteristics to the current track, so you can discover music that fits the mood from your own collection.