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wanyi-watermark

PyPI·Infrastructure

wanyi-watermark is an MCP server that parses video links and extracts media resources from platforms including Douyin, Xiaohongshu, and others. It provides one-click watermark removal functionality and is delivered through CLI, WebUI, and Skill interfaces. The tool is designed for developers and users needing to process and download clean media content from social video platforms.

Open SourceApache-2.0CLIWebAPI
Visit PyPI↗
20stars
6forks
5features
2025since

Overview

5 features

In the Other AI space, wanyi-watermark takes a focused approach. It focuses on removing watermarks from videos and extracting media resources from platforms like Douyin and Xiaohongshu. wanyi-watermark is an open-source project aimed at developers. The project is open source (Apache-2.0). It ships for the command line, the web, and API.

It is developed by Ryan7t, and it first shipped in 2025. The project is developed in the open on GitHub with 20 stars and 12 commits in the last 90 days. Among its 5 catalogued features are video link parsing, media resource extraction, and watermark removal. It exposes integrations via an MCP server.

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

  • ✓Video link parsing
  • ✓Media resource extraction
  • ✓Watermark removal
  • ✓WebUI
  • ✓CLI interface
Tags
video-watermark-removalmedia-extractormcp-serverdouyin-downloader
AI capabilities
Video
Inference: Cloud APIWeights: Proprietary

Built with & integrations

Connectors
MCP
Runs on
CLIBrowserAPI-only

Trust & compliance

License
Apache-2.0
Verified signals
✓HTTPS✓Open Source✓GitHub · ★ 20✓Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed5 Aug · 08:55 UTC
    wanyi-watermark verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about wanyi-watermark

What is wanyi-watermark?
Wanyi-watermark focuses on removing watermarks from videos and extracting media resources from platforms like Douyin and Xiaohongshu. It is catalogued under Other AI on PulseGate.
Who is wanyi-watermark for?
wanyi-watermark is an open-source project built for developers.
Does wanyi-watermark have a free plan?
Yes — wanyi-watermark is open source under the Apache-2.0 license and free to use.
What platforms does wanyi-watermark run on?
wanyi-watermark runs on the command line, the web, and API.
Is wanyi-watermark still active?
The GitHub repository shows 12 commits in the last 90 days.
What projects are similar to wanyi-watermark?
Similar projects tracked by PulseGate include verdikt, cliver, and ChatGPT Prompts Extension.verdiktcliverChatGPT Prompts Extension
Who develops wanyi-watermark?
wanyi-watermark is developed by Ryan7t.
When did wanyi-watermark launch?
wanyi-watermark first shipped in 2025.

At a glance

Platforms
Cli
Languages
Chinese
Open source
Yes · ★ 20
License
Apache-2.0
Built for
developers
Model
Open source
Solves
Removing watermarks from videos and extracting media resources from platforms like Douyin and Xiaohongshu.

Registered as

GitHub
Ryan7t/wanyi-watermark
PyPI
wanyi-watermark

Developer

Ryan7t
Small team
↗ GitHub

Open source

View on GitHub →
Stars
20
Forks
6
Open issues
0
Last commit
20 Jun 2026
Commits 90d
12
Contributors
2
Authorship
Small team
Default branch
master

Live coverage

Identity confidence
Low · 64
Indexed
5 Aug 2026
Lifecycle
Alive
Last seen
5 Aug 2026
Identity audit (13)
Slug
wanyi-watermark-pypi-org
Lifecycle state recorded
5 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
5 Aug 2026
Timeline basis
Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
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
5 Aug 2026
Canonical URL
https://pypi.org/project/wanyi-watermark

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