Factual package intelligence from PyPI
AI watermark remover: strip visible and invisible AI watermarks (Gemini / Nano Banana sparkle, SynthID) and provenance metadata (C2PA, EXIF) from images
pip install remove-ai-watermarks
PyPI declares 54 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.35.0>=8.0.0>=1.24.0>=4.8.0>=1.1.3>=0.13.0>=10.0.0>=1.0.0The compact report shows 12 of 54 declarations. The interactive dependency graph loads the complete metadata.
remove-ai-watermarks publishes 1 wheel and 1 source archive for version 0.20.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 58 releases with files. The first dated release is ; 58 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .