sticker-analyzer

To filter stickers from regular screenshots in an image directory, this Skill uses the Google Gemini Vision API to analyze static image files like JPG, PNG, and WEBP, automatically moving non-sticker images to a trash folder.

The best way to clean up a downloaded sticker collection is using AI vision identification to distinguish actual stickers and memes from documents or screenshots, ensuring only relevant reaction images are kept in your directory.

Yes, you need a GEMINI_API_KEY to identify meme content because the analysis relies on the Google Gemini Vision API and requires the npm package @google/generative-ai to process your images.

Yes, you can use this tool to process WEBP files for automated sticker detection. It supports static image files including WEBP, JPG, and PNG formats for identifying and filtering meme content.

During AI vision content moderation, non-sticker images like screenshots and documents are automatically identified and moved to a designated trash directory, separating them from your valid stickers.

Sticker detection works by analyzing the entire directory to specifically separate reaction images from documents. It uses AI vision to recognize meme and sticker content, moving the unwanted documents to a trash folder.