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LazyDesk AI Offers Local, Privacy-First File Organization Using Open-Weight Models

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LazyDesk AI is a desktop file organizer that runs entirely on the user's machine, designed to tidy cluttered Downloads and Desktop folders. It extracts text from PDFs, Word documents, notes, and images locally, then uses open-weight models through Ollama to suggest clearer filenames and destination categories. Users review every proposed change, with the option to edit names, switch categories, or exclude files, and nothing moves without approval. Moves are non-destructive, avoiding overwrites through collision suffixes, and logged with SHA-256 hashes so a batch can be undone. The project is open source and was submitted to Hacktoberfest's Open-Source AI Challenge.

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