W
wiltodelta/remove-ai-watermarks
Remove visible and invisible AI watermarks from images and video, and AI provenance metadata from images, video, and audio. Python library, CLI, and agent skill for SynthID, C2PA, EXIF, IPTC, XMP, and common generative-AI marks.
SECURITY.md ✓
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
客户端配置（取自该仓库的安装命令）
{
"mcpServers": {
"wiltodelta-remove-ai-watermarks": {
"command": "npx",
"args": ["skills"]
}
}
}解析自我们于 2026-10-26 抓取的该仓库 README；我们未执行过。
command/args 来自仓库写明的安装命令；不确定时请以该项目 README 为准。
VS Code（.vscode/mcp.json —— 键名是 servers）
{
"servers": {
"wiltodelta-remove-ai-watermarks": {
"command": "npx",
"args": ["skills"]
}
}
}VS Code 顶层键是 <code>servers</code>，其余与上面那份相同。
Claude Code（命令行）
claude mcp add --transport stdio wiltodelta-remove-ai-watermarks -- npx skills
Claude Code 不收 JSON 文件，用这条命令直接加。
配置项的键名以你的客户端为准：客户端与 CLI
- ★ 数取值
- 6,377 ★ · wiltodelta/remove-ai-watermarks · 取自 GitHub 搜索 API · （2026-11-13 20:00:50 核对）
- 来源明细
- 收录自 punkpeye/awesome-mcp-servers 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-10-23 · 最近见到 2026-11-14 · 共见到 26 次 · 被 23 个来源列出
- 评分构成
- 综合分 2,300 · 6,377 ★ · 23 个来源 · mcp
- 安装
npx skills
常见问题（答案都来自我们的记录）
怎么安装？
该仓库给出的安装命令是
npx skills。我们的记录里它是仓库自己提供的；不保证在你的客户端上直接可用。它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
仓库
wiltodelta/remove-ai-watermarks；我们收录于 2026-10-23；最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。# Remove AI Watermarks
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
Remove AI provenance marks from images and video you generated yourself:
known visible labels such as the Google Gemini sparkle watermark and vendor text marks;
invisible pixel watermarks through direct local-format disruption or diffusion regeneration;
C2PA, EXIF, XMP, IPTC, and related AI metadata.
| Before | After |
bash
uv tool install "remove-ai-watermarks[visible]" # CLI for visible marks and metadata
npx skills add wiltodelta/remove-ai-watermarks # agent skill for Claude Code, Codex, Cursor, and other agents
Video support covers provenance identification, complete visible-plus-metadata
cleaning, directory batches, visible Sora, Veo, Seedance, Doubao, Dola,
Hailuo AI, and Kling AI mark removal, and oracle-certified VAE regeneration for video SynthID
removal.
> raiw.cc runs this library as a hosted service, with the GPU
> included and nothing to install. Visible mark and metadata removal at Standard
> output up to 12 MP are free there; original resolution above 12 MP and invisible
> watermark removal are paid.
> This is a research project on AI provenance signals, for lawful use on content
> you own. It is provided as is, without warranty or liability, and each user is
> responsible for how they use it. It does not target stock agency previews or
> other watermarks that protect third party paid content. Some jurisdictions,
> including China, restrict removing AI labels or supplying tools that do. See
> scope, safety, and legal notes.
## Choose what you want to do
| Goal | Command | GPU |
| Find provenance signals and watermarks | identify | No |
| Classify a photograph from pixels (opt-in, not provenance) | classify | No |
| Remove known visible AI marks | visible | No |
| Erase a region you select | erase | No |
| Strip AI metadata | metadata | No |
| Identify supported video provenance | video identify | No |
| Remove visible marks and AI metadata from video | video all | No |
| Strip AI metadata from video | video metadata | No |
| Remove a registered visible AI mark from video | video visible | No |
| Process a directory of videos | video batch | Depends on mode |
| Apply the calibrated video-pixel SynthID-removal profile | video invisible | Recommended |
| Regenerate an image to disrupt invisible watermarks | invisible | Required (CUDA) |
| Run visible, invisible, and metadata removal | all | Recommended |
| Process a directory | batch | Depends on mode |
Microsoft Paint and Photos InvisMark declarations are routed automatically to
pixel regeneration. The all command removes both the hidden pixel watermark and
its linked C2PA manifest; metadata stripping alone removes only the manifest. A
specialized Python API can inspect and disrupt the validated local
Watermarker.dll payload without diffusion.
## Installation modes
| Need | Install |
| Metadata inspection and stripping | remove-ai-watermarks |
| Photograph AI-versus-camera classification | remove-ai-watermarks[classify] |
| OpenAI/Google/unknown source-export classification | remove-ai-watermarks[source-classify] |
| Visible detection and removal | remove-ai-watermarks[visible] |
| Visible video processing | remove-ai-watermarks[video] |
| Video SynthID removal | remove-ai-watermarks[video,diffusion] |
known visible labels such as the Google Gemini sparkle watermark and vendor text marks;
invisible pixel watermarks through direct local-format disruption or diffusion regeneration;
C2PA, EXIF, XMP, IPTC, and related AI metadata.
| Before | After |
bash
uv tool install "remove-ai-watermarks[visible]" # CLI for visible marks and metadata
npx skills add wiltodelta/remove-ai-watermarks # agent skill for Claude Code, Codex, Cursor, and other agents
Video support covers provenance identification, complete visible-plus-metadata
cleaning, directory batches, visible Sora, Veo, Seedance, Doubao, Dola,
Hailuo AI, and Kling AI mark removal, and oracle-certified VAE regeneration for video SynthID
removal.
> raiw.cc runs this library as a hosted service, with the GPU
> included and nothing to install. Visible mark and metadata removal at Standard
> output up to 12 MP are free there; original resolution above 12 MP and invisible
> watermark removal are paid.
> This is a research project on AI provenance signals, for lawful use on content
> you own. It is provided as is, without warranty or liability, and each user is
> responsible for how they use it. It does not target stock agency previews or
> other watermarks that protect third party paid content. Some jurisdictions,
> including China, restrict removing AI labels or supplying tools that do. See
> scope, safety, and legal notes.
## Choose what you want to do
| Goal | Command | GPU |
| Find provenance signals and watermarks | identify | No |
| Classify a photograph from pixels (opt-in, not provenance) | classify | No |
| Remove known visible AI marks | visible | No |
| Erase a region you select | erase | No |
| Strip AI metadata | metadata | No |
| Identify supported video provenance | video identify | No |
| Remove visible marks and AI metadata from video | video all | No |
| Strip AI metadata from video | video metadata | No |
| Remove a registered visible AI mark from video | video visible | No |
| Process a directory of videos | video batch | Depends on mode |
| Apply the calibrated video-pixel SynthID-removal profile | video invisible | Recommended |
| Regenerate an image to disrupt invisible watermarks | invisible | Required (CUDA) |
| Run visible, invisible, and metadata removal | all | Recommended |
| Process a directory | batch | Depends on mode |
Microsoft Paint and Photos InvisMark declarations are routed automatically to
pixel regeneration. The all command removes both the hidden pixel watermark and
its linked C2PA manifest; metadata stripping alone removes only the manifest. A
specialized Python API can inspect and disrupt the validated local
Watermarker.dll payload without diffusion.
## Installation modes
| Need | Install |
| Metadata inspection and stripping | remove-ai-watermarks |
| Photograph AI-versus-camera classification | remove-ai-watermarks[classify] |
| OpenAI/Google/unknown source-export classification | remove-ai-watermarks[source-classify] |
| Visible detection and removal | remove-ai-watermarks[visible] |
| Visible video processing | remove-ai-watermarks[video] |
| Video SynthID removal | remove-ai-watermarks[video,diffusion] |
收录徽章（可选）
想把收录标记放进 README 就复制这行，可选，不影响收录。
[](https://anclum.com/zh/s/wiltodelta-remove-ai-watermarks/)
- 来源
- awesome · https://github.com/wiltodelta/remove-ai-watermarks
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