Smart Crop Product Image

E-commerce platforms and marketplaces use this recipe to normalize supplier product photos to consistent square thumbnails. AI detects the product and crops around it — no manual positioning, no lost products at the edges.

APIs Used

Image Transformation (1 credits/request)

Prerequisites

You need an Iteration Layer API key. Get one at platform.iterationlayer.com — free trial credits included, no credit card required.

For full integration guidance (SDKs, auth, MCP, error handling), see the Iteration Layer Integration Guide.

Implementation

curl -X POST \
  https://api.iterationlayer.com/image-transformation/v1/transform \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "file": {
      "type": "url",
      "name": "supplier-image.jpg",
      "url": "https://cdn.example.com/supplier/product-001.jpg"
    },
    "operations": [
      {
        "type": "smart_crop",
        "width_in_px": 1000,
        "height_in_px": 1000
      }
    ]
  }'

import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });

const result = await client.transform({
  file: {
    type: "url",
    name: "supplier-image.jpg",
    url: "https://cdn.example.com/supplier/product-001.jpg",
  },
  operations: [
    {
      type: "smart_crop",
      width_in_px: 1000,
      height_in_px: 1000,
    },
  ],
});

from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")

result = client.transform(
    file={
        "type": "url",
        "name": "supplier-image.jpg",
        "url": "https://cdn.example.com/supplier/product-001.jpg",
    },
    operations=[
        {
            "type": "smart_crop",
            "width_in_px": 1000,
            "height_in_px": 1000,
        },
    ],
)

package main

import il "github.com/iterationlayer/sdk-go"

func main() {
	client := il.NewClient("YOUR_API_KEY")

	result, err := client.Transform(il.TransformRequest{
		File: il.NewFileFromURL(
			"supplier-image.jpg",
			"https://cdn.example.com/supplier/product-001.jpg",
		),
		Operations: []il.TransformOperation{
			il.NewSmartCropOperation(1000, 1000),
		},
	})
	if err != nil {
		panic(err)
	}
}

{
  "name": "Smart Crop Product Image",
  "nodes": [
    {
      "parameters": {
        "content": "## Smart Crop Product Image\n\nE-commerce platforms and marketplaces use this recipe to normalize supplier product photos to consistent square thumbnails. AI detects the product and crops around it \u2014 no manual positioning, no lost products at the edges.\n\n**Note:** This workflow uses the Iteration Layer community node (`n8n-nodes-iterationlayer`). Install it via Settings > Community Nodes before importing. Self-hosted n8n only.",
        "height": 280,
        "width": 500,
        "color": 2
      },
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        200,
        40
      ],
      "id": "c1f1d6cd-3e16-4933-9557-caf1d498b9e5",
      "name": "Overview"
    },
    {
      "parameters": {
        "content": "### Step 1: Transform Image\nResource: **Image Transformation**\n\nConfigure the Image Transformation parameters below, then connect your credentials.",
        "height": 160,
        "width": 300,
        "color": 6
      },
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        475,
        100
      ],
      "id": "b548438b-de0a-4f2d-ab16-50b012f9669b",
      "name": "Step 1 Note"
    },
    {
      "parameters": {},
      "type": "n8n-nodes-base.manualTrigger",
      "typeVersion": 1,
      "position": [
        250,
        300
      ],
      "id": "a3b4c5d6-e7f8-4a9b-0c1d-3e4f5a6b7c8d",
      "name": "Manual Trigger"
    },
    {
      "parameters": {
        "resource": "imageTransformation",
        "fileInputMode": "url",
        "fileName": "supplier-image.jpg",
        "fileUrl": "https://cdn.example.com/supplier/product-001.jpg",
        "operations": {
          "operationValues": [
            {
              "operationType": "smart_crop",
              "widthInPx": 1000,
              "heightInPx": 1000
            }
          ]
        }
      },
      "type": "n8n-nodes-iterationlayer.iterationLayer",
      "typeVersion": 1,
      "position": [
        500,
        300
      ],
      "id": "d6e7f8a9-b0c1-4d2e-3f4a-5b6c7d8e9f0a",
      "name": "Transform Image",
      "credentials": {
        "iterationLayerApi": {
          "id": "1",
          "name": "Iteration Layer API"
        }
      }
    }
  ],
  "connections": {
    "Manual Trigger": {
      "main": [
        [
          {
            "node": "Transform Image",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  }
}

Smart crop the product image at [file URL] to center on the product. Use the transform_image tool with a smart_crop operation to [width]x[height] pixels.

Response

{
  "success": true,
  "data": {
    "buffer": "/9j/4AAQSkZJRgABAQEASABI...",
    "mime_type": "image/jpeg"
  }
}

Links

• Integration guide
• Full documentation
• OpenAPI spec
• Browse all recipes