Request
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
}
]
}'Response
{
"success": true,
"data": {
"buffer": "/9j/4AAQSkZJRgABAQEASABI...",
"mime_type": "image/jpeg"
}
}Request
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.transformImage({
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,
},
],
});Response
{
"success": true,
"data": {
"buffer": "/9j/4AAQSkZJRgABAQEASABI...",
"mime_type": "image/jpeg"
}
}Request
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.transform_image(
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,
},
],
)Response
{
"success": true,
"data": {
"buffer": "/9j/4AAQSkZJRgABAQEASABI...",
"mime_type": "image/jpeg"
}
}Request
package main
import il "github.com/iterationlayer/sdk-go"
func main() {
client := il.NewClient("YOUR_API_KEY")
result, err := client.TransformImage(il.TransformImageRequest{
File: il.FileInput{Type: "url", Name: "supplier-image.jpg", Url: "https://cdn.example.com/supplier/product-001.jpg"},
Operations: []il.TransformOperation{
il.NewSmartCropOperation(1000, 1000),
},
})
if err != nil {
panic(err)
}
}Response
{
"success": true,
"data": {
"buffer": "/9j/4AAQSkZJRgABAQEASABI...",
"mime_type": "image/jpeg"
}
}Template
{
"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 on self-hosted n8n, or add it directly on n8n Cloud with Verified Community Nodes enabled.",
"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"
}
}Prompt
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.