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hf Image Caption
Automate image captioning and alt-text generation using Hugging Face's BLIP model for batch processing.
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Works with the AI tools you already use
See it in action
You say
Caption sunset.jpg and office.png for me and save the results.
Your agent does
Captioning: sunset.jpg ... a photograph of a beach at sunset with purple clouds Captioning: office.png ... a modern office space with a wooden desk and a laptop
2 captions saved to: ~/.hf-image-caption/captions_20231027_143005.json
What you get
About this skill
What it does
This skill provides an automated pipeline for generating descriptive alt-text and metadata for your images. By leveraging Hugging Face's Salesforce BLIP model, it transforms visual content into natural language captions. It supports both individual files and batch processing via glob patterns, ensuring data is structured and archived automatically in a centralized local directory.
Why use this skill
Manually writing alt-text for large image datasets is time-consuming and inconsistent. While you could prompt an AI to "describe this image," this skill automates the heavy lifting: it handles raw image byte processing, manages API authentication with Hugging Face, pipelines multiple files simultaneously, and provides a structured JSON audit trail. It’s a developer-first tool designed to be integrated into CI/CD pipelines, static site generators, or content management workflows.
Supported tools
- Direct integration with Hugging Face Inference API
- Bash shell for file operations
- Standard JSON for portable output metadata
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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