agentCLAWHUBUnverified

WaveSpeedAI Watermark Remover

Remove watermarks, logos, captions, and text overlays from images and videos using WaveSpeed AI. Intelligently detects and removes watermarks while preserving texture and background. Supports images and videos up to 10 minutes. Only for media the user owns or is licensed to modify (e.g. cleaning their own exports, stock they have purchased, or overlays they added themselves); never to strip another party's copyright or attribution marks. Use when the user wants to remove watermarks or text overlays from their own media. Skill: WaveSpeedAI Watermark Remover Owner: wavespeed Summary: Remove watermarks, logos, captions, and text overlays from images and videos using WaveSpeed AI. Intelligently detects and removes watermarks while preserving texture and background. Supports images and videos up to 10 minutes. Only for media the user owns or is licensed to modify (e.g. cleaning their own exports, stock they have purchased, or overlays th

OpenClaw

Rank

62

Safety

84

Downloads

1.5k

Updated

Oct 10, 2026

Version

2.0.1

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.5K downloads reported by the source. Last updated 10/10/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Oct 10, 2026
Protocol compatibility
OpenClawcompatibility · observed Oct 10, 2026
Adoption signal
1.5K downloadsadoption · observed Oct 10, 2026
Latest release
2.0.1release · observed Sep 5, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17epnq4kcsv1261rq3e9gvwcx8dth5q:wavespeed-watermark-remover
  1. Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-wavespeed-wavespeed-watermark-remover/snapshot"

Documentation

CLAWHUB

38,787 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: wavespeed-watermark-remover
description: Remove watermarks, logos, captions, and text overlays from images and videos using WaveSpeed AI. Intelligently detects and removes watermarks while preserving texture and background. Supports images and videos up to 10 minutes. Only for media the user owns or is licensed to modify (e.g. cleaning their own exports, stock they have purchased, or overlays they added themselves); never to strip another party's copyright or attribution marks. Use when the user wants to remove watermarks or text overlays from their own media.
metadata:
  author: wavespeedai
  version: "2.0"
---

# WaveSpeedAI Watermark Remover

Remove watermarks, logos, captions, and text overlays from images and videos using WaveSpeed AI. Intelligently detects and removes watermarks while preserving texture and background.

**Read [Responsible use](#responsible-use) before running anything.** This tool is for media the user owns or is licensed to modify, not for stripping other people's copyright or attribution marks.

## Setup

Install the open-source CLI once and sign in; the CLI stores the key, so never ask the user to paste an API key into the chat:

```bash
npm install -g @wavespeed/cli
wavespeed login          # opens https://wavespeed.ai/accesskey and stores the key
wavespeed status         # confirms you are signed in
```

For CI or one-off shells, `WAVESPEED_API_KEY` in the environment also works.

Prefer MCP tools over shell commands? The same platform is exposed by [`@wavespeed/mcp`](https://github.com/WaveSpeedAI/mcp-server) (`npx -y @wavespeed/mcp`; tools `search_models`, `get_model_schema`, `get_price`, `upload_file`, `run_model`, `get_prediction`). It shares the CLI's stored login. Every example below maps one-to-one onto `run_model` with the same model id and input fields.

## Quick Start

### Image Watermark Removal

```bash
# Upload a local image to get a URL
OUTPUT_URL=$(wavespeed run wavespeed-ai/image-watermark-remover \
  -i image=@./watermarked-image.png \
  --json | jq -r '.outputs[0]')
```

### Video Watermark Removal

```bash
# Upload a local video to get a URL
OUTPUT_URL=$(wavespeed run wavespeed-ai/video-watermark-remover \
  -i video=@./watermarked-video.mp4 \
  --json | jq -r '.outputs[0]')
```

Existing URLs work as-is:

```bash
OUTPUT_URL=$(wavespeed run wavespeed-ai/image-watermark-remover \
  -i image="https://example.com/watermarked-image.jpg" \
  --json | jq -r '.outputs[0]')
```

## API Endpoints

### Image Watermark Remover

**Model ID:** `wavespeed-ai/image-watermark-remover`

Remove watermarks, logos, and text overlays from an image while preserving texture and background.

#### Parameters

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `image` | string | Yes | -- | URL of the image to process |
| `output_format` | string | No | `jpeg` | Output format. One of: `jpeg`, `png`, `webp` |

#### Example

```bash
OUTPUT_URL=$(wavespeed 

_meta.json

{
  "ownerId": "kn733k72mbe41a710dd1kfpg2s8257bs",
  "slug": "wavespeed-watermark-remover",
  "version": "2.0.1",
  "publishedAt": 1788625736208
}

skill-card.md

## Description:

Helps agents remove watermarks, logos, captions, and text overlays from user-owned or licensed images and videos with WaveSpeed AI.

This skill is ready for commercial/non-commercial use.

## Publisher:

[wavespeed](https://clawhub.ai/user/wavespeed)

### License/Terms of Use:

MIT-0

## Use Case:

External users, developers, and content operations teams use this skill to route eligible image or video watermark-removal requests through WaveSpeed AI. It is intended for media the user owns or is licensed to modify, with guardrails against removing third-party copyright, attribution, or preview marks.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Media is uploaded to WaveSpeed's cloud service for processing.

Mitigation: Only process media the user is comfortable sending to WaveSpeed and that the user owns or is licensed to modify.

Risk: Watermark removal can be misused to strip third-party copyright, attribution, or stock preview marks.

Mitigation: Confirm ownership or license before running the model, refuse unclear or infringing requests, and avoid outputs that misrepresent authorship or licensing.

Risk: The documented setup uses global npm and npx commands that may install changing package versions.

Mitigation: Pin reviewed package versions where possible and run the CLI or MCP server in a least-privileged environment.

Risk: Authentication material may be exposed if users paste keys into chat or commands are run in shared environments.

Mitigation: Use `wavespeed login` or a scoped `WAVESPEED_API_KEY` environment variable and never ask the user to paste secrets into the conversation.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/wavespeed/skills/wavespeed-watermark-remover)
- [WaveSpeed MCP server](https://github.com/WaveSpeedAI/mcp-server)

## Skill Output:

**Output Type(s):** [Guidance, Shell commands, API Calls, Configuration]

**Output Format:** [Markdown with inline bash commands and parameter tables]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Produces WaveSpeed CLI or MCP invocation guidance and result URLs; media processing happens through WaveSpeed's cloud service.]

## Skill Version(s):

2.0.1 (source: server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
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Machine-readable data

The same record, as JSON, for agents and crawlers.

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}

Record generated Oct 10, 2026.

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