Digger Solo
Local AI File Explorer
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What is Digger Solo?
Digger Solo is an AI file explorer for macOS and Windows that uses machine learning to search and organize local files by concept rather than just filename. The tool combines semantic search with visual file maps, allowing users to find documents, images, PDFs, audio, and video files by describing what they contain or the topic they're looking for in natural language.
Key features include natural language search that understands topics and concepts, semantic map exploration that visualizes relationships between files with similar content clustered together, 100% local processing ensuring complete privacy, duplicate file detection that catches near-identical content even with different filenames, and an LLM Chat interface with RAG (Retrieval-Augmented Generation) that answers questions about your files with citations from specific documents. The tool also includes a Smart Music Player that automatically plays similar music based on acoustic characteristics.
Digger Solo is designed for privacy-conscious users who want to manage large local file collections, including researchers, students, professionals with extensive document archives, photographers with large image collections, and anyone who struggles to find files they know they have but can't remember where. The tool works completely offline and never sends files to the cloud.
Digger Solo pricing
Pricing model: Freemium
Free Version: €0/forever - limited to 500 files, try before you buy, no updates included. Ownership: €49 one-time payment - unlimited files, works completely offline, own it forever, includes 12 months of updates. Personal Monthly: €4.90/month - unlimited files, cancel any time, includes monthly updates and supports development. All paid versions include unlimited files and full feature access.
Digger Solo pros
- 100% local processing - files never leave your machine
- Semantic search finds files by concept, not just filename
- Visual semantic maps show relationships between files
- Detects duplicate and near-duplicate files even with different names
- Searches inside PDFs, DOCX, images, audio, and video files
- LLM Chat with RAG provides answers with citations from your documents
- Smart Music Player auto-plays similar songs from your collection
- No telemetry, no cloud, no accounts required
- Natural language search - describe what you're looking for
- Supports 40+ file types including PDFs, images, audio, and video
- Unlimited files in paid versions
- Ownership plan is one-time payment - own it forever
- Free version lets you try before buying
- Open SQLite database format for metadata you can back up
- Works completely offline for Ownership version
Digger Solo cons
- Free version limited to only 500 files
- Requires modern CPU and at least 8GB RAM
- Free version includes no updates
- Internet required to verify active subscriptions
- LLM Chat requires you to bring your own OpenAI API key
- Not designed for millions of files - works best with hundreds of thousands
- MacOS and Windows only - Linux support is limited (deb only)
- Activation key bound to specific hardware
Frequently asked questions about Digger Solo
What is Digger Solo?
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.
How does activation work?
Enter your activation key in the app to unlock all features. Internet connection is required to verify active subscriptions. Ownership version works offline.
Where are my files processed?
All files are processed locally. Nothing leaves your machine.
What hardware is recommended?
Semantic search and file mapping require a modern CPU and at least 8GB of RAM.
What file types are supported?
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).
How does the search work?
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.
How does the LLM chat feature work?
LLM Chat is entirely opt-in. You bring your own OpenAI-compatible API keys (setup in Settings) to unlock natural-language conversations with your files. Nothing is sent to a third party without your explicit setup (ideally use self-hosted model for full privacy).
How does the Smart Music Player work?
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.
Can it search inside PDFs?
Yes. Digger Solo searches the full text of every PDF in your collection and finds documents by concept, not just keyword. Search for 'invoice from the Berlin supplier' or 'non-disclosure agreement' without remembering the exact wording.
Where is metadata stored?
In a SQLite database at ~/.config/digger/digger.db, an open, portable format you can back up and tinker with.