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AI File Renamer and Organizer | RenamerX

RenamerX is a local-first AI organizer that analyzes documents, images, and videos to batch rename files for individuals and small teams. By extracting contextual metadata directly on-device, it accelerates digital archiving for knowledge workers without sending sensitive data to the cloud.

AI File Renamer and Organizer | RenamerX

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Detail Information

What

RenamerX is a local-first desktop application for Windows and macOS designed to rename and categorize documents, images, and videos using on-device artificial intelligence. It resolves the problem of disorganized digital assets by analyzing file contents and applying structured, user-defined naming templates and folder rules without uploading sensitive files off-device. The software is positioned as a privacy-centric file management utility for individual professionals and small teams handling high-volume file intake.

Features

  • Content-Aware Local Renaming: An embedded local model (or connected local/cloud provider) reads internal text and visual data across documents, images, and videos to generate descriptive filenames on the host machine.
  • Template-Based Directory Organization: Users can define structured naming conventions using extracted fields such as dates, clients, or amounts, while simultaneously moving files into project- or topic-specific folders.
  • Review-First Staging and Undo: A dedicated preview interface allows users to inspect and modify generated names before modifying the file system, supported by full rollback capabilities if names require reversal.
  • Automated Watch Folders: Pro users can monitor directories continuously to automatically rename and route incoming files after debouncing write events to avoid processing incomplete transfers.

Helpful Tips

  • Validate Hardware Compatibility: The default local AI downloads an approximately 3.4 GB model file and requires a compatible GPU or Apple silicon, so system readiness should be verified during setup.
  • Refine Templates Before Full Automation: Use the interactive preview mode to calibrate custom extraction templates against diverse file formats before configuring the automated watch-folder features.
  • Leverage Alternative AI Backends: If local hardware resources are limited, connect external endpoints such as LM Studio, Ollama, OpenAI, or Google Gemini through the settings menu.

OpenClaw Skills

The source documentation does not reference any existing integration between RenamerX and OpenClaw. As a hypothetical use case, an OpenClaw automation agent could interface with RenamerX to standardize disorganized input directories before initiating downstream knowledge-retrieval or document-processing pipelines. Combining local, privacy-preserving file normalization with OpenClaw agents could streamline back-office document intake and archiving by ensuring uniform naming conventions and predictable folder structures without manual pre-sorting.

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