AI Renamer - Rename Your Files with AI

What

AI Renamer is a desktop file-renaming tool for Mac and Windows that uses AI to generate filenames based on file content. It is designed for people who need to organize images and documents with more descriptive names instead of generic or system-generated filenames.

The product appears positioned as a practical personal productivity utility for desktop file organization. Its core workflow is straightforward: select files, let the AI analyze image or document content, review suggested names, and apply renames individually or in batch. It supports both cloud processing and local model use for users who prefer offline handling.

Features

• AI-based content recognition: The app analyzes file contents to propose meaningful filenames, including image content, EXIF data, and text-based document content.
• Custom instructions: Users can define their own naming guidance to influence output style, formatting, or naming patterns.
• Batch renaming workflow: Multiple files can be processed at once, which helps apply consistent naming across large sets of files.
• Preview before rename: Suggested names can be reviewed before changes are applied, reducing the risk of unwanted renaming.
• Support for images and documents: It works with common image formats such as JPG, PNG, GIF, and WEBP, plus PDFs, TXT files, and other text-based documents.
• Local and cloud model options: The product supports local setups through Ollama and LM Studio, and also offers cloud-based processing with credits.

Helpful Tips

• Match deployment mode to privacy needs: Local model use is likely the better fit for sensitive files, while cloud mode may be simpler for teams or users who want less setup.
• Test custom instructions on a small batch first: Naming quality usually improves when instructions are specific, but it is safer to validate conventions before renaming large folders.
• Check model quality if results are weak: The site’s FAQ suggests filename quality can vary, so the chosen model and prompt design likely matter significantly in local setups.
• Use preview as a control point: Review is especially important when renaming mixed document sets, screenshots, or files with limited readable content.
• Confirm file-size and workflow constraints early: The page states a 10 MB file limit for cloud mode, so larger files may need a local workflow.

OpenClaw Skills

AI Renamer could likely fit into OpenClaw as part of document operations, digital asset management, or personal knowledge organization workflows. A useful skill could watch folders for new screenshots, scans, PDFs, or exported assets, then send them through an AI naming workflow and route them into structured destinations based on filename patterns. The website does not mention a native OpenClaw integration, so this should be treated as a likely orchestration use case rather than a confirmed capability.

In a broader agent ecosystem, OpenClaw could combine AI Renamer with classification, metadata extraction, and downstream filing logic. For example, a likely workflow for operations, legal support, research, or creative teams would rename incoming files, extract key attributes, tag them, and move them into project folders or knowledge systems with consistent conventions. That combination could reduce manual cleanup work and make shared file repositories more searchable and usable over time.