Watermark Removal Python Packages

remove-ai-watermarks

Remove visible and invisible AI watermarks and provenance metadata from images and video. Python library and CLI for SynthID, C2PA, EXIF, IPTC, XMP, and common generative-AI marks.

noai-watermark

Remove invisible AI watermarks (SynthID, StableSignature, TreeRing) and strip AI metadata from images. Open-source CLI & Python toolkit.

dewatermark

Open-source AI text watermark remover for Unicode artifacts, with detector-scoped evaluation of published statistical LLM watermark schemes.

pagedmark

AI watermark removal built for Apple Silicon. SynthID-class pixel regeneration, visible vendor labels and provenance metadata, with every pipeline decision measured on Metal.

watermark-remover

Find and remove AI provenance signals from files you own: hidden Unicode, token watermarks, visible image marks, and C2PA/EXIF/XMP metadata. Zero-dependency Python 3.10+ core; models, GPUs, and system binaries sit behind opt-in adapters.

vivid-clean

Local-first AI watermark cleaner for text, DOCX and PPTX. Removes deterministic marks and document metadata, preserves formatting, and reports what remains.

luminaweaver

A new package that processes user-submitted text descriptions of images or videos containing watermarks and returns structured, watermark-free descriptions. It uses an LLM to reinterpret the content w