Design

Image Trim with Tolerance

Advanced image trimming with configurable tolerance levels for precise border removal

file· File resultOpen tool

Quick start

Call this tool from your code in three languages.

cURL

# 1) Upload each file first → returns { filePath }
curl -X POST 'https://api.elysiatools.com/upload/image-trim-tolerance' \
  -F 'file=@/path/to/imageFile.ext'

# 2) Call the tool with the returned filePath values
curl -X POST 'https://api.elysiatools.com/en/api/tools/image-trim-tolerance' \
  -F 'imageFile=/path/to/file.ext' \
  -F 'toleranceMode=absolute' \
  -F 'toleranceValue=40' \
  -F 'autoDetectBackground=true' \
  -F 'backgroundColor=Manual background color (overrides auto-detect)' \
  -F 'scanMethod=full' \
  -F 'edgeSampling=true' \
  -F 'analyzeOnly=false' \
  -F 'format=original' \
  -F 'quality=90'

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/image-trim-tolerance

Parameters

Name	Type	Required	Description
imageFile	fileupload required	Yes	Upload any image file (JPEG, PNG, WebP, TIFF) for advanced tolerance trimming
toleranceMode	select	Yes	How to calculate color tolerance for background detection
toleranceValue	range	No	Tolerance for background detection. Higher = more pixels considered background
autoDetectBackground	checkbox	No	Analyze image edges to automatically determine the background color
backgroundColor	color	No	Specific background color to trim (disables auto-detection)
scanMethod	select	No	How to scan the image for content boundaries
edgeSampling	checkbox	No	Add padding proportional to tolerance to avoid cutting off edge content
analyzeOnly	checkbox	No	Analyze tolerance settings without trimming the image
format	select	No	Choose output format or keep original
quality	number	No	Output quality for lossy formats (JPEG, WebP). Higher = better quality but larger file size

File-type parameters must be uploaded first via POST /upload/image-trim-tolerance, 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-image-trim-tolerance": {
      "name": "image-trim-tolerance",
      "description": "Advanced image trimming with configurable tolerance levels for precise border removal",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=image-trim-tolerance",
      "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": "image-trim-tolerance",
    "arguments": {
  "imageFile": "https://example.com/file.ext",
  "toleranceMode": "absolute",
  "toleranceValue": 40,
  "autoDetectBackground": true,
  "backgroundColor": "Manual background color (overrides auto-detect)",
  "scanMethod": "full",
  "edgeSampling": true,
  "analyzeOnly": false,
  "format": "original",
  "quality": 90
}
  }
}

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]