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Image Levels Adjustment

Adjust image levels with precise control over shadows, midtones, and highlights for professional tonal correction

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/image-levels' \
  -H 'Content-Type: application/json' \
  -d '{"filename":"imageFile.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/image-levels' \
  -F 'imageFile=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
  -F 'shadowInput=0' \
  -F 'shadowOutput=0' \
  -F 'midtoneInput=0.5' \
  -F 'midtoneOutput=0.5' \
  -F 'highlightInput=1' \
  -F 'highlightOutput=1' \
  -F 'format=original' \
  -F 'quality=95'

© 2026 Elysia Tools. Developer documentation.

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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-levels

Parameters

NameTypeRequiredDescription
imageFilefileupload requiredYesUpload any image file (JPEG, PNG, WebP, GIF, BMP, TIFF) for levels adjustment
shadowInputnumberNoShadow input level (0 = pure black, 1 = white). Maps input shadow levels to new values
shadowOutputnumberNoShadow output level (0 = pure black, 1 = white). Sets the output for shadow areas
midtoneInputnumberNoMidtone input level (0 = pure black, 0.5 = middle gray, 1 = white). Controls tonal balance
midtoneOutputnumberNoMidtone output level (0 = pure black, 0.5 = middle gray, 1 = white). Adjusts overall brightness
highlightInputnumberNoHighlight input level (0 = pure black, 1 = white). Maps input highlight levels to new values
highlightOutputnumberNoHighlight output level (0 = pure black, 1 = white). Sets the output for highlight areas
formatselectNoChoose output format or keep original. PNG recommended for maximum quality
qualitynumberNoOutput quality for lossy formats (JPEG, WebP). Higher = better quality but larger file size
File-type parameters must be uploaded first via POST /upload/image-levels, 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-levels": {
      "name": "image-levels",
      "description": "Adjust image levels with precise control over shadows, midtones, and highlights for professional tonal correction",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=image-levels",
      "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-levels",
    "arguments": {
  "imageFile": "https://example.com/file.ext",
  "shadowInput": 0,
  "shadowOutput": 0,
  "midtoneInput": 0.5,
  "midtoneOutput": 0.5,
  "highlightInput": 1,
  "highlightOutput": 1,
  "format": "original",
  "quality": 95
}
  }
}
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]

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