OpenClaw Image Recognition & Rename

The openclaw-image-edit image focuses on image content understanding. It uses an AI vision model to automatically recognize image content and batch rename files, making photo library organization simple and efficient.

Included Skill

qwen-vision-rename — AI Batch Image Renaming

Leverages the Qwen vision model to "understand" each image, then replaces meaningless random filenames with descriptive ones.

Core Capabilities

Recognize a Single Image

Generates a content description for any image to see what the model "sees", serving as a preview before batch renaming.

Describe this image: /path/to/image.jpg

Output example:

This is a product photography image. The main subject is a white ceramic coffee cup on a wooden table with soft lighting.

Batch Rename (Dry Run Preview)

Scans an entire directory and outputs a "planned rename list" without actually modifying files, letting you confirm the results before execution.

Perform a dry run preview on ~/Downloads/photos

Output example:

IMG_4521.jpg  ->  Product Photography - White Ceramic Coffee Cup.jpg
IMG_4522.jpg  ->  Landscape Photography - Sunset Beach.jpg
IMG_4523.png  ->  Screenshot - Code Editor Dark Theme.png

Apply Rename

After confirming the preview, execute the batch rename in one step.

Apply rename to ~/Downloads/photos

Rollback

If you are not satisfied with the results, you can undo all renames and restore the original filenames in one step.

Rollback renames in ~/Downloads/photos

Rollback relies on a JSON record file automatically generated during renaming. As long as this file is not deleted, you can undo at any time.

Naming Convention

The default format is Category - Subject, for example:

Original Filename	After Rename
DSC_0042.jpg	Portrait - Girl in Outdoor Sunlight.jpg
screenshot_001.png	Screenshot - macOS System Preferences.png
IMG_20240315.jpg	Food Photography - Braised Pork Rice Bowl.jpg
photo.jpg	Architecture - Modern Glass Curtain Wall Office Building.jpg

Supported Image Formats

JPG / JPEG / PNG / WEBP / BMP / GIF

Use Cases

• Organize accumulated screenshots and photos in the Downloads folder

• Batch archive photos imported from a camera

• Automatic classification and naming for design asset libraries

• Pre-processing and labeling for scraped image datasets

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