Home/Computer Vision/remove-ai-watermarks
remove-ai-watermarks logo

remove-ai-watermarks

wiltodelta/remove-ai-watermarks

AI watermark remover for visible and invisible marks on images

GraphCanon updated 3w · GitHub synced 3w

4.4k stars404 forksLast push 3w Python Apache-2.0

Decision brief

remove-ai-watermarks is a Python library and CLI that specializes in removing both visible and invisible AI watermarks such as Gemini/Nano Banana sparkle and SynthID, along with provenance metadata from images.

Good fit when

  • When you need to remove specific types of AI watermarks known as Gemini or Nano Banana sparkle.
  • In scenarios where SynthID watermark presence hampers image usability.

Avoid when

  • If you are working in an environment that does not support Python 3.10 or higher.
  • When watermark removal requires GPU acceleration but your system lacks CUDA or MPS support and only offers CPU (which is slower for invisible watermarks).
Requirements:
For invisible watermark removal, CPU only works but is slower; GPU (CUDA or MPS) recommended.; The tool supports installation without a container system and requires manual setup, including the use of pip for Python packages.

Observed Jul 14, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (0d since push)
As of 3w
Provenance
Not a fork · Personal account
As of 3w
Security (OSV)
No lockfile
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install remove-ai-watermarks
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A CLI and Python library that removes various forms of AI watermarks and provenance metadata from images.

Capability facts

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Jul 31, 2026

Languages
python

Source: github.language+pyproject.toml · Jul 31, 2026

Categories

Tags

README

Quick start

Install the core CLI:

uv tool install remove-ai-watermarks

Inspect an image:

remove-ai-watermarks identify image.png

Remove a known visible mark and AI metadata:

remove-ai-watermarks visible image.png -o clean.png

Strip metadata without running visible inpainting or diffusion:

remove-ai-watermarks metadata image.png --remove -o clean.png

For invisible watermark removal, install the diffusion dependencies:

uv tool install --force "remove-ai-watermarks[gpu]"
remove-ai-watermarks invisible image.png -o clean.png

If the local detectors cannot confirm an invisible watermark but you know the image came from an AI generator, add --force:

remove-ai-watermarks invisible image.png -o clean.png --force

See the installation guide for Homebrew, uv, optional features, and development setup.


License

Apache 2.0. Copyright 2025-2026 wiltodelta.

For agents

This page has a .md twin and JSON over the API.

Was this helpful?

Anonymous feedback helps us improve pages and translations.