Video Watermark Remove

Remove or blur watermarks and logos from videos by specifying the watermark area

file· File resultOpen tool

Quick start

Call this tool from your code in three languages.

cURL

# 1) Request a presigned URL → returns { uploadUrl, storageKey }
curl -X POST 'https://api.elysiatools.com/api/upload/presign/video-watermark-remove' \
  -H 'Content-Type: application/json' \
  -d '{"filename":"videoFile.ext","contentType":"application/octet-stream","size":12345}'

# 2) PUT the file bytes directly to the presigned uploadUrl
curl -X PUT '<presigned uploadUrl>' \
  --data-binary @/path/to/file.ext

# 3) Call the tool, passing the returned storageKey for each file field
curl -X POST 'https://api.elysiatools.com/en/api/tools/video-watermark-remove' \
  -F 'videoFile=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
  -F 'x=10' \
  -F 'y=10' \
  -F 'width=100' \
  -F 'height=50' \
  -F 'blurIntensity=10' \
  -F 'outputFormat=mp4'

API reference

Send a POST request with your inputs as JSON. File parameters require a separate upload first.

Endpoint

HTTP

POST https://api.elysiatools.com/en/api/tools/video-watermark-remove

Parameters

Name	Type	Required	Description
videoFile	fileupload required	Yes	—
x	number	No	Watermark area X coordinate from left edge (minimum 1 pixel, 0 will be adjusted to 1)
y	number	No	Watermark area Y coordinate from top edge (minimum 1 pixel, 0 will be adjusted to 1)
width	number	No	Width of the watermark area to remove (10-1920 pixels)
height	number	No	Height of the watermark area to remove (10-1080 pixels)
blurIntensity	range	No	Blur strength for watermark removal (1 = light blur, 100 = heavy blur)
outputFormat	select	No	—

File-type parameters must be uploaded first via POST /upload/video-watermark-remove, then the returned filePath is passed to the corresponding file field.

Response format

File result

JSON

{
  "filePath": "/public/processing/randomid.ext",
  "fileName": "output.ext",
  "contentType": "application/octet-stream",
  "size": 1024,
  "metadata": {
    "key": "value"
  },
  "error": "Error message (optional)",
  "message": "Notification message (optional)"
}

MCP integration

Add this tool to your Model Context Protocol server so AI agents can list and call it.

Server configuration

Add this block to your MCP client configuration:

mcp.json

{
  "mcpServers": {
    "elysiatools-video-watermark-remove": {
      "name": "video-watermark-remove",
      "description": "Remove or blur watermarks and logos from videos by specifying the watermark area",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=video-watermark-remove",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

List available tools

After connecting to the SSE endpoint, list the exposed tools:

tools/list

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/list"
}

Call this tool

Invoke the tool by its id, passing arguments built from its parameters:

tools/call

{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "video-watermark-remove",
    "arguments": {
  "videoFile": "https://example.com/file.ext",
  "x": 10,
  "y": 10,
  "width": 100,
  "height": 50,
  "blurIntensity": 10,
  "outputFormat": "mp4"
}
  }
}

Chain multiple tools in one session with a comma-separated toolId list, e.g. /mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp (max 20).

File parameters accept a public file URL only (https://…). Local paths, data: URIs, and Base64 strings are not supported.

Questions or issues? Contact [email protected]