Who is watermark-cleaner for?

watermark-cleaner is an open-source project built for developers and publishers.

Does watermark-cleaner have a free plan?

Yes — watermark-cleaner is open source under the MIT license and free to use.

What platforms does watermark-cleaner run on?

watermark-cleaner runs on the command line. It can also be self-hosted.

Is watermark-cleaner still maintained?

Unverified. watermark-cleaner has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What are alternatives to watermark-cleaner?

Similar projects tracked by PulseGate include AI Text Watermark Remover, wmc-cleaner, and remove-ai-watermarks.

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watermark-cleaner

PyPIInfrastructure

watermark-cleaner is an MIT-licensed command-line package that removes AI-related text artifacts, invisible Unicode characters, and file metadata before publishing. It supports lossless image metadata cleaning and pre-commit workflows for developers and publishers.

Open SourceMITCLISelf-hosted

Visit PyPI

Overview

6 features

watermark-cleaner is a CLI tools & terminal project. It focuses on removing hidden AI text artifacts, unsafe Unicode characters, and metadata from files before publication. It is built as an open-source project for developers and publishers. watermark-cleaner is open source under the MIT license. It runs on the command line, and it can be self-hosted.

watermark-cleaner first shipped in 2026. Among its 6 catalogued features are unicode cleaning, AI phrase removal, and metadata stripping.

Summary written by a language model from the project’s public pages.

Unicode cleaning
AI phrase removal
Metadata stripping
Image metadata cleaning
Pre-commit support
Trojan Source detection

Built with & integrations

Runs on

CLISelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tier

Indexing history

What PulseGate has recorded for this listing

Indexed14 Aug · 13:28 UTC
watermark-cleaner verified against its public source
Source: PulseGate · Open

Frequently asked questions about watermark-cleaner

What is watermark-cleaner?: Watermark-cleaner focuses on removing hidden AI text artifacts, unsafe Unicode characters, and metadata from files before publication. It is catalogued under CLI tools & terminal on PulseGate.
Who is watermark-cleaner for?: watermark-cleaner is an open-source project built for developers and publishers.
Does watermark-cleaner have a free plan?: Yes — watermark-cleaner is open source under the MIT license and free to use.
What platforms does watermark-cleaner run on?: watermark-cleaner runs on the command line. It can also be self-hosted.
Is watermark-cleaner still maintained?: Unverified. watermark-cleaner has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What are alternatives to watermark-cleaner?: Similar projects tracked by PulseGate include AI Text Watermark Remover, wmc-cleaner, and remove-ai-watermarks.AI Text Watermark Remover wmc-cleaner remove-ai-watermarks
How long has watermark-cleaner been around?: watermark-cleaner first shipped in 2026.
Is watermark-cleaner open source?: Yes — watermark-cleaner is open source under the MIT license.

At a glance

Platforms: Cli
Languages: English
License: MIT
First seen: 14 Aug 2026
Built for: developers and publishers
Model: Open source
Solves: Removing hidden AI text artifacts, unsafe Unicode characters, and metadata from files before publication.

Registered as

PyPI: watermark-cleaner

Developer

Christianstrunk

Index record

Identity confidence: Low · 64
Indexed: 14 Aug 2026
Lifecycle: Alive
First seen: Aug 2026
Last seen: 14 Aug 2026

Identity audit (13)

Slug: watermark-cleaner-pypi-org
Lifecycle state recorded: 14 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 14 Aug 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 14 Aug 2026
Canonical URL: https://pypi.org/project/watermark-cleaner

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