Media

AI Image Upscaler

High-quality image upscaling using advanced interpolation algorithms with sharpening enhancement

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-quality-upscaler' \
  -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-quality-upscaler' \
  -F 'imageFile=/path/to/file.ext' \
  -F 'scale=2' \
  -F 'targetWidth=0' \
  -F 'targetHeight=0' \
  -F 'maintainAspectRatio=true' \
  -F 'interpolation=lanczos3' \
  -F 'sharpenAmount=1.5' \
  -F 'enhanceColors=true' \
  -F 'outputFormat=jpeg' \
  -F 'quality=92'

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-quality-upscaler

Parameters

Name	Type	Required	Description
imageFile	fileupload required	Yes	Supports JPG, PNG, WebP, BMP, TIFF and other common image formats
scale	select	No	Select scale factor (2x is recommended for best quality and details)
targetWidth	number	No	Set to use this width instead of scale factor
targetHeight	number	No	Set to use this height instead of scale factor
maintainAspectRatio	checkbox	No	Maintain the original image aspect ratio
interpolation	select	No	Lanczos3 provides best quality, Nearest is fastest
sharpenAmount	range	No	Enhance image details, higher values create stronger sharpening effect
enhanceColors	checkbox	No	Slightly enhance color saturation and brightness
outputFormat	select	No	JPEG for photos, PNG for images with transparency
quality	range	No	Output image quality (1-100), only for JPEG and WebP

File-type parameters must be uploaded first via POST /upload/image-quality-upscaler, 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-quality-upscaler": {
      "name": "image-quality-upscaler",
      "description": "High-quality image upscaling using advanced interpolation algorithms with sharpening enhancement",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=image-quality-upscaler",
      "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-quality-upscaler",
    "arguments": {
  "imageFile": "https://example.com/file.ext",
  "scale": "2",
  "targetWidth": 0,
  "targetHeight": 0,
  "maintainAspectRatio": true,
  "interpolation": "lanczos3",
  "sharpenAmount": 1.5,
  "enhanceColors": true,
  "outputFormat": "jpeg",
  "quality": 92
}
  }
}

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]