iterationlayer Optimize Product Photo
E-commerce teams and marketplace sellers use this recipe to prepare a product photo for a listing. Upload a raw product photo and apply a pipeline of resize, auto-contrast, sharpen, and format conversion — ready for your storefront with consistent quality and fast load times.
APIs Used
Image Transformation (0.5 credits/request)
Prerequisites
You need an Iteration Layer API key. Get one at platform.iterationlayer.com during the 7-day trial.
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-photo.jpg",
"url": "https://example.com/product-photo.jpg"
},
"operations": [
{
"type": "resize",
"width_in_px": 1000,
"height_in_px": 1000,
"fit": "contain"
},
{
"type": "auto_contrast"
},
{
"type": "sharpen",
"sigma": 1.5
},
{
"type": "convert",
"format": "webp",
"quality": 85
}
]
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.transformImage({
file: {
type: "url",
name: "product-photo.jpg",
url: "https://example.com/product-photo.jpg",
},
operations: [
{
type: "resize",
width_in_px: 1000,
height_in_px: 1000,
fit: "contain",
},
{ type: "auto_contrast" },
{
type: "sharpen",
sigma: 1.5,
},
{
type: "convert",
format: "webp",
quality: 85,
},
],
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.transform_image(
file={
"type": "url",
"name": "product-photo.jpg",
"url": "https://example.com/product-photo.jpg",
},
operations=[
{
"type": "resize",
"width_in_px": 1000,
"height_in_px": 1000,
"fit": "contain",
},
{"type": "auto_contrast"},
{
"type": "sharpen",
"sigma": 1.5,
},
{
"type": "convert",
"format": "webp",
"quality": 85,
},
],
)
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: "product-photo.jpg", Url: "https://example.com/product-photo.jpg"},
Operations: []il.TransformOperation{
il.NewResizeOperation(1000, 1000, "contain"),
{Type: "auto_contrast"},
il.NewSharpenOperation(1.5),
il.NewConvertOperation("webp"),
},
})
if err != nil {
panic(err)
}
}
{
"name": "Optimize Product Photo",
"nodes": [
{
"parameters": {
"content": "## Optimize Product Photo\n\nE-commerce teams and marketplace sellers use this recipe to prepare a product photo for a listing. Upload a raw product photo and apply a pipeline of resize, auto-contrast, sharpen, and format conversion \u2014 ready for your storefront with consistent quality and fast load times.\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": "c77fd822-c61c-43e1-975c-f74004f36485",
"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": "c6b4e8f5-5dd1-43bb-b02e-fe9843938db9",
"name": "Step 1 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "a7b8c9d0-e1f2-4a3b-4c5d-7e8f9a0b1c2d",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "imageTransformation",
"fileInputMode": "url",
"fileName": "product-photo.jpg",
"fileUrl": "https://example.com/product-photo.jpg",
"operations": {
"operationValues": [
{
"operationType": "resize",
"widthInPx": 1000,
"heightInPx": 1000,
"fit": "contain"
},
{
"operationType": "auto_contrast"
},
{
"operationType": "sharpen",
"sigma": 1.5
},
{
"operationType": "convert",
"convertFormat": "webp",
"quality": 85
}
]
}
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "d0e1f2a3-b4c5-4d6e-7f8a-9b0c1d2e3f4a",
"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 photo at [file URL] for e-commerce. Use the transform_image tool with a resize operation to [width]x[height] pixels (fit: contain), an auto_contrast operation, a sharpen operation, and a convert operation to WebP at quality 85.
Response
{
"success": true,
"data": {
"buffer": "iVBORw0KGgoAAAANSUhEUgAA...",
"mime_type": "image/webp"
}
}