FinderSearch

FSearch is a whole-disk file-search tool for macOS, available as a command-line application with a background daemon and as a Rust crate. It indexes file names and text content, supports fuzzy matching and typo tolerance, and accepts filters for folders, extensions, file types, size, modification time, paths, regular expressions, and symbol names. The index is built by crawling the disk with macOS's getattrlistbulk and kept current through FSEvents; file names are stored in an mmap'd structure, while text search uses a trigram index and reads matching content directly from disk. It exposes JSON Lines over a Unix socket or standard input, and the CLI and Rust API share the same index. The repository reports a 1.3 ms median whole-disk name-search time across 7.7 million files and folders on an M4 Max.

Search is a small, fast WebKit browser for macOS developed by Office Commun. It provides a single address-and-search field, tabs, reading mode, picture-in-picture video, bookmarks, history, downloads, built-in ad and tracker blocking, per-site clutter hiding, and password storage in the macOS keychain. It has no account, sync, cloud storage, telemetry, or analytics; browsing data remains on the Mac. The browser uses WebKit and lazily creates each tab's web view, while its ad blocker runs as a compiled WKContentRuleList before network requests are made and its hidden-element rules are injected at document start. It can run Chrome extensions through WebKit's extension engine, adding shims for Chrome APIs that WebKit lacks; extension support requires macOS 15.4 or later. Search supports macOS 14 or later, is distributed as a free download of about 3 MB or through Homebrew, and is licensed under the MIT License. The repository contains a Swift and SwiftUI/AppKit implementation with no dependencies beyond Apple's macOS frameworks.

DigUp is a free, open-source macOS menu bar app for searching files by their contents, including images, PDFs, documents, audio, video, screenshots, and optionally source code. It runs on Apple Silicon Macs with macOS 14 or later and keeps indexed data on the device. DigUp uses Google DeepMind's multimodal EmbeddingGemma 2 through llama.cpp and Metal. It converts images, document passages, video frames, and overlapping audio segments into a shared vector space, then combines semantic nearest-vector search with exact-word matching. Results can open a video or recording at the relevant moment, a PDF at the matching page, or code at the relevant line in a configured editor. The app reads only selected folders, excludes sensitive and ignored file types, and does not upload indexed files. It downloads the model once and checks for updates, with telemetry and accounts not required. DigUp can be installed from a DMG or Homebrew, includes a command-line tool, and is licensed under the MIT License.

Finder Menu is a Swift macOS Finder extension that adds New File, Open Terminal Here, Open Folder With, Copy Path, and Go to Parent Folder actions to Finder's context menu. New File accepts arbitrary extensions and can use saved templates; the terminal and editor actions detect installed applications or allow a custom choice. A sandboxed Finder Sync extension reads the clicked folder and settings, while a small unsandboxed helper app performs file creation, application launching, and Finder window navigation through validated findermenu:// actions. It supports local, external, disk-image, and network volumes, has configurable menu items, terminals, icons, and templates, and contains no network code or telemetry. It can be built locally from source or installed through Homebrew, and is released under the MIT license.

SCM is a local-first macOS application for searching photos and videos by visual content, visible text, and spoken dialogue. It indexes whole files with local vision models, segments videos into scenes so searches can jump to a timecode, runs Tesseract OCR for literal text matching, and uses Whisper transcripts for exact spoken-word searches. An optional local LLM can answer questions over extracted dialogue, OCR, and filename evidence with citations. The app imports files through manual selection, drag-and-drop, or watched folders. It content-hashes files for rename-proof deduplication, stores embeddings and media metadata locally, and can re-embed a library when the selected vision model changes. Model weights and language packs download once; subsequent inference runs offline, with no accounts, uploads, or telemetry. SCM is distributed as an Electron application for macOS, including a Homebrew cask and packaged DMG/ZIP builds.