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satyamkumar420

AI Image Metadata Cleaner

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      Identify and remove AI provenance metadata (C2PA, EXIF, IPTC, XMP, TC260), visible AI-generator labels and supported invisible watermarks from images and video you generated yourself. Runs locally over stdio with uvx.
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      Enables AI agents to analyze images from a URL, local path, or Base64 string and determine whether they are AI-generated, including detection of signatures from Flux, Midjourney, DALL·E, and Stable Diffusion. Also inspects cryptographic C2PA provenance manifests, signing certificate authorities, and camera EXIF metadata without requiring API keys or accounts.
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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

    ActivitySlowing
    ResponsivenessNo issues