Zush

The watch folders feature automates file renaming for ongoing workflows by monitoring designated directories for new files. Once a folder is set up, Zush runs in the background and processes any new file automatically, renaming it according to predefined rules or AI analysis. This is particularly useful for recurring tasks like scanning documents, receiving invoices via email, or capturing screenshots. Additionally, Zush can automatically apply Finder tags and enrich Spotlight metadata, making files discoverable through natural language queries on the platform. For example, a user can search for "2026 invoice from Acme" and find the relevant PDF instantly, even if the filename itself is not perfectly descriptive. The combination of automatic renaming and metadata enhancement creates a robust organization system that requires minimal ongoing effort. Users can also set rename, tagging, and metadata rules to ensure the AI output aligns with their specific style and workflow, providing consistency across teams and projects.

Zush offers over 145 Naming Blocks that allow users to construct filenames from a rich set of data sources. These blocks include dates (in various formats), file metadata, audio details (artist, album, duration), finance fields (currency, amounts), client names, travel identifiers, legal references, and even AI-detected context from the file's content. Users can mix and match these blocks to create naming templates tailored to different file types or projects. For instance, a photography template might use the EXIF date and a user-provided keyword, while an invoice template could combine the date, client name, and a document type label. These templates can be saved and reused, ensuring consistency across batches. Beyond local templates, Zush supports connecting to cloud AI providers like Gemini, Groq, OpenAI, or Claude for unlimited renames (using the user's own API key, with keys stored securely on the local machine). For privacy-sensitive work, private local models via Ollama enable offline processing without sending any file content to external servers.

Zush's workflow is designed to be intuitive yet powerful. Users begin by either dragging files or folders into the app, or by setting up one or more watched folders for automatic processing. Next, they select a naming template or instruct Zush to analyze each file's content using AI. The app then processes each file, generating a proposed new filename based on the chosen rules and the actual content of the file. A preview screen displays the original filenames alongside the suggested new names, allowing users to review and make adjustments before finalizing. Once approved, the rename is applied instantly, and if a mistake is made, one-click rollback restores the original filenames. The entire process can be repeated with different templates or AI settings. Zush also maintains a history of all changes, providing an audit trail. For users who prefer local AI, Ollama integration allows complete offline operation, ensuring data never leaves the machine. This flexible approach accommodates both cloud-savvy and privacy-conscious users.

Real-world scenarios demonstrate Zush's impact across various professions. In accounting, invoices often arrive with names like "invoice.pdf" or "scan_004.pdf." By dropping a billing folder into Zush, accountants can transform these into descriptive filenames such as "2026-05-12_Acme_contract_review_invoice.pdf," making it trivial to locate specific documents later. In healthcare, researchers dealing with de-identified medical notes can use Zush with its offline AI to name scans by visit date and a short diagnosis phrase, cutting down on repetitive typing while maintaining privacy. Photographers benefit from Zush's ability to read EXIF data and add plain-text keywords, converting "DSCF0001.jpg" into "2019-03-15_Kyoto_rain.jpg," which makes searching years of photos feasible without remembering folder names. Video editors handling B-roll footage find that Zush names clips by on-screen content and date, reducing the time spent previewing dozens of videos to find a single shot. These outcomes translate directly into saved hours each week and a more organized digital workspace.

Zush is built for professionals and power users who manage large quantities of files on a daily basis. Primary target audiences include photographers, videographers, graphic designers, accountants, lawyers, medical professionals, administrative assistants, and anyone dealing with scanned documents or downloads. The software runs on both Mac and Windows, with the macOS version supporting Sequoia and later. Pricing is straightforward: a free tier gives 50 AI renames with no signup or credit card required. For unlimited use, users can choose between a subscription at $8 per month (cancel anytime, no long-term commitment) or a one-time payment of $38 that includes all future updates and pays for itself in roughly five months. A 14-day money-back guarantee covers both paid plans, and payments are processed securely via Paddle. In summary, Zush eliminates the drudgery of manual file renaming by combining AI content analysis with flexible naming blocks, making it an indispensable tool for anyone who values an organized, searchable file system.