A
licenseNot graded
qualityB
maintenanceProvides AI content watermarking and C2PA compliance for EU AI Act Article 50, enabling detection, verification, and batch processing of authenticated content.
6 npm
MIT
AI Image Metadata Cleaner
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TDQS
A3.6/5.0
Scored across 6 tools
Disambiguation4/5
Most tools have distinct purposes—strip, sanitize, inspect, batch, profile list/inject—but strip_metadata_only and anti_ai_sanitize overlap in metadata removal, and inject_camera_profile vs anti_ai_sanitize could be confused for camera injection. Descriptions help clarify, so only minor ambiguity.
Naming Consistency3/5
Names are readable but inconsistent in structure: strip_metadata_only, get_camera_profiles, inspect_image_metadata, and inject_camera_profile follow verb_noun, while anti_ai_sanitize and batch_sanitize_directory deviate (adjective_noun_verb or adverb_verb_noun). This mixing makes the naming pattern less predictable.
Tool Count5/5
Six tools is well-scoped for an image metadata cleaner/anti-AI sanitizer. Each tool serves a clear need: single-file strip, full sanitize, batch processing, inspection, and camera profile retrieval/injection. No redundant or unnecessary tools.
Completeness4/5
The surface covers core workflows: inspect, strip, sanitize, inject, and batch sanitize. Minor gaps include no batch inspect or batch strip-only operation, and no way to selectively remove only C2PA while keeping EXIF, but these are workarounds via existing tools.
Maintenance
ActivityMaintained
ResponsivenessNo issues