Fluent Search vs Open Semantic Desktop Search

Fluent Search is a free, keyboard-driven search and productivity tool for Windows 10 or 11. It searches installed apps, files, browser history and bookmarks, commands, web results, open windows, settings, calculations, and on-screen interface elements. Screen Search puts character labels over clickable items so users can navigate and interact with them from the keyboard. A built-in file indexer is designed to scan quickly while keeping CPU usage low. Its index stores file metadata by default, not file contents, unless content indexing is enabled for selected paths. Optional semantic search and summarization run locally and can be switched off in Settings. Community plugins can add search sources, previews, actions, and YAML-based task workflows. Configurable web search includes engines such as Google, Bing, and DuckDuckGo, inline previews, and sending prompts to ChatGPT. The maker says searches, indexes, browser data, and most interactions are handled locally; depending on settings, diagnostics, suggestions, sync, and plugins may involve external communication. Windows x64 and ARM64 installers, APPX, portable builds, and Microsoft Store installation are listed. The maker describes ARM64 as newer and not yet battle-tested.

Open Semantic Desktop Search is free, open-source software for full-text and semantic search, text analytics and mining across large document sets. Its desktop edition comes as a virtual machine appliance for import into VirtualBox; configured shared folders point to documents, and indexing starts when the machine launches. Search supports wildcards, Boolean AND/OR/NOT and fuzzy matching. Multilingual semantic search uses a thesaurus to find synonyms, narrower terms and aliases, while stemming helps find other word forms. Interactive facets group metadata such as authors, organizations, people, dates, tags and document types. Previews can display PDFs, extracted text, table rows and images. Analysis tools include date charts, word clouds, word lists, network graphs and interactive maps. OCR can recognize text in images and scanned PDFs. Connectors include files, feeds, websites, SQL databases, MediaWiki and IMAP email. The desktop appliance is for a single user; a separate server installation is aimed at organizations and research teams. The multilingual virtual machine image is a 4 GB download, and the German desktop image is listed as coming soon.