Ocdify

File entropy is not a one-time problem — it is a daily tax. OCDify sits in your Mac menubar and watches designated folders like Downloads or Desktop continuously, using an on-device LLM to read file content and sort items into custom folder categories you define in advance. There is no drag-and-drop triage session, no scheduled script to remember, and no manual rename step. Files land, the AI classifies them, and they move. That is the entire workflow.

The differentiating feature is the offline-only architecture. The vendor states that all AI classification and even license validation happen on-device, with no cloud uploads and no data collection. For professionals handling confidential documents — legal files, financial records, personal health data — this removes the question of whether your file names or contents are being logged by a third-party service. Most competing cloud-connected organizers cannot offer that assurance by design.

OCDify fits a specific profile well: Mac users who accumulate mixed-type files in a small number of high-traffic folders and want the organization to run itself without a subscription renewal reminder. It fits less well when the job requires more than category assignment. The tool does not rename files, does not operate across external drives based on available evidence from the page, does not expose an API for scripting custom workflows, and does not give you branching logic — for example, ‘if this file matches project X and is a PDF, route it here; if it is a spreadsheet, route it there.’ Teams with that level of specificity will find themselves writing shell scripts alongside OCDify, at which point the value proposition weakens. A team managing a shared project repository with naming conventions enforced by a style guide will not find OCDify sufficient and will move to a dedicated document management system or a custom Hazel ruleset instead.