{"repo":"filippostanghellini/DocFinder","free":true,"listed":false,"github":"https://github.com/filippostanghellini/DocFinder","clone":"git clone https://github.com/filippostanghellini/DocFinder.git","description":"DocFinder is a local-first indexing and searching documents using semantic embeddings stored in SQLite. Everything runs on your machine, no external services required.","language":"Python","stars":27,"topics":["local-first","offline","pdf","privacy","semantic-search","sentence-transformers","local-llm","rag","local-ai","document-search"],"license":null,"category":"media-processing","readme_excerpt":"DocFinder Local-first semantic search for your documents. Supports PDF, Word (.docx), Markdown, and plain text files. Everything runs on your machine — no cloud, no accounts, complete privacy. Features - Semantic search — find documents by meaning, not just keywords (PDF, DOCX, Markdown, TXT) - AI chat — ask questions about any document and get precise answers, powered by local Qwen models (automatically selects the best model for your hardware) - 100% local — your files never leave your machine - GPU accelerated — auto-detects Apple Silicon (Metal), NVIDIA (CUDA), AMD (ROCm) - Cross-platform — native apps for macOS, Windows, and Linux - Global shortcut (Experimental) — bring DocFinder to front from anywhere with a configurable hotkey Download Platform Installer ---------- ----------- macOS DocFinder-macOS.dmg Windows DocFinder-Windows-Setup.exe Linux DocFinder-Linux-x86 64.AppImage macOS — open the DMG, drag DocFinder to Applications, then right-click → Open on first launch (Gatekeeper warning — normal for unsigned open-source apps). Windows — run the installer; if SmartScreen appears choose More info → Run anyway . Linux Run from Source Requires Python 3.10+ and make . Runtime acceleration (auto) DocFinder automatically selects the best available runtime on your machine: - NVIDIA : ONNX CUDA provider when available, otherwise PyTorch CUDA - AMD : ONNX ROCm provider when available, otherwise PyTorch fallback - Apple Silicon : PyTorch MPS when available (fastest), ONNX ARM64 ","default_branch":null,"files":null,"tree":[],"storefront":"/r/filippostanghellini","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/filippostanghellini/DocFinder/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}