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Embed, read, validate XMP metadata, and generate structured image reports.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "image-metadata-embed-and-report" yet — see the docs or source repo.
Batch embed XMP metadata into the product images in this folder using the product schema. Include brand, product name, SKU, color, and shoot date, and add an embedded-status indicator to each filename.
A set of images with embedded product metadata and filenames marked with embedding status indicators.
Read the XMP metadata in this lifestyle image, check whether all required fields are complete, list missing items, and output a readable validation result.
A metadata breakdown, a list of missing fields, and a clear validation summary.
For this set of images using the orbit schema, validate metadata format and field correctness, then generate a summary report showing passes, warnings, and failures.
A per-image metadata compliance report with pass, warning, and failure statuses plus issue details.
Process images locally with background removal, media search, resizing, conversion, and collages.
Extract images from PDF and Word files for reuse, review, and analysis.
Analyze images for AI-generation signs using multiple forensic inspection methods.
Enable non-vision agents to describe images, run OCR, and extract structured data.
Enable AI to edit, transform, and automate advanced image processing tasks.
Extract image color, texture, and shape features for precise comparison and quality assessment.