Digger Solo
The AI file explorer that understands content, not just filenames
Overview
Digger Solo is a local-first AI file explorer for macOS that lets you find documents, images, and PDFs by concept rather than filename. Semantic search understands meaning, so you can search for 'invoice from Berlin supplier' or 'non-disclosure agreement' without remembering exact wording. Semantic maps visualize how files cluster and relate. A built-in RAG chat lets you ask questions across your documents with cited answers. Duplicate detection catches near-identical files that exact-match tools miss. Everything runs on your machine — no cloud, no telemetry, no accounts required.
Pricing: Free up to 500 files | €49 one-time (unlimited) | €4.90/month
Minimum macOS: 13.0 (Ventura)
Architecture: Apple Silicon, Intel
Key Features
- Semantic search across PDFs, DOCX, Markdown, images, audio, and video by concept
- Semantic maps that visualize file relationships and cluster similar content
- RAG chat — ask questions across your documents with cited answers
- Duplicate and near-duplicate file detection using semantic similarity
- Smart music player that auto-queues similar songs from your library
- Supports PDF, DOCX, HTML, EPUB, TXT, MD, images, audio, and video
- 100% local processing — files never leave your machine
- No account required; free tier supports up to 500 files
- Bring-your-own API key for LLM chat (or use a self-hosted model)
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