Optimize Product Image for Etsy

Etsy sellers and multi-channel commerce platforms use this recipe to normalize product photos for Etsy listings. AI smart crop detects the subject and frames it correctly before resizing — no manual cropping, no products cut off 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": "product.jpg",
      "url": "https://example.com/products/raw/candle-019.jpg"
    },
    "operations": [
      {
        "type": "smart_crop",
        "width_in_px": 2000,
        "height_in_px": 2000
      },
      {
        "type": "sharpen",
        "sigma": 1.0
      },
      {
        "type": "convert",
        "format": "jpeg",
        "quality": 90
      }
    ]
  }'

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

const result = await client.transform({
  file: {
    type: "url",
    name: "product.jpg",
    url: "https://example.com/products/raw/candle-019.jpg",
  },
  operations: [
    {
      type: "smart_crop",
      width_in_px: 2000,
      height_in_px: 2000,
    },
    {
      type: "sharpen",
      sigma: 1.0,
    },
    {
      type: "convert",
      format: "jpeg",
      quality: 90,
    },
  ],
});

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

result = client.transform(
    file={
        "type": "url",
        "name": "product.jpg",
        "url": "https://example.com/products/raw/candle-019.jpg",
    },
    operations=[
        {
            "type": "smart_crop",
            "width_in_px": 2000,
            "height_in_px": 2000,
        },
        {
            "type": "sharpen",
            "sigma": 1.0,
        },
        {
            "type": "convert",
            "format": "jpeg",
            "quality": 90,
        },
    ],
)

package main

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

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

	quality := 90
	result, err := client.Transform(il.TransformRequest{
		File: il.NewFileFromURL("product.jpg", "https://example.com/products/raw/candle-019.jpg"),
		Operations: []il.TransformOperation{
			il.NewSmartCropOperation(2000, 2000),
			il.NewSharpenOperation(1.0),
			il.ConvertOperation{Type: "convert", Format: "jpeg", Quality: &quality},
		},
	})
	if err != nil {
		panic(err)
	}
	_ = result
}

{
  "name": "Optimize Product Image for Etsy",
  "nodes": [
    {
      "parameters": {
        "content": "## Optimize Product Image for Etsy\n\nEtsy sellers and multi-channel commerce platforms use this recipe to normalize product photos for Etsy listings. AI smart crop detects the subject and frames it correctly before resizing \u2014 no manual cropping, no products cut off 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": "8f0d3b99-5925-478a-ba02-5a971053ca07",
      "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": "10d32f56-4bbb-4332-8c0b-57d1c1ff92bb",
      "name": "Step 1 Note"
    },
    {
      "parameters": {},
      "type": "n8n-nodes-base.manualTrigger",
      "typeVersion": 1,
      "position": [
        250,
        300
      ],
      "id": "e5f6a7b8-c9d0-4e1f-2a3b-5c6d7e8f9a0b",
      "name": "Manual Trigger"
    },
    {
      "parameters": {
        "resource": "imageTransformation",
        "fileInputMode": "url",
        "fileName": "product.jpg",
        "fileUrl": "https://example.com/products/raw/candle-019.jpg",
        "operations": {
          "operationValues": [
            {
              "operationType": "smart_crop",
              "widthInPx": 2000,
              "heightInPx": 2000
            },
            {
              "operationType": "sharpen",
              "sigma": 1.0
            },
            {
              "operationType": "convert",
              "convertFormat": "jpeg",
              "quality": 90
            }
          ]
        }
      },
      "type": "n8n-nodes-iterationlayer.iterationLayer",
      "typeVersion": 1,
      "position": [
        500,
        300
      ],
      "id": "b8c9d0e1-f2a3-4b4c-5d6e-7f8a9b0c1d2e",
      "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"
  }
}

Optimize the product image at [file URL] for Etsy. Use the transform_image tool with a smart_crop operation to 2000x2000 pixels, a sharpen operation, and a convert operation to JPEG at quality 90.

Response

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

Links

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