iterationlayer Compress Image for Email
Marketing teams and email platforms use this recipe to prepare images for email campaigns. Resize to email-friendly dimensions, sharpen after downscale, convert to JPEG for universal client support, and compress to a target file size — all in one API call.
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": "hero.jpg",
"url": "https://cdn.example.com/campaign/hero.jpg"
},
"operations": [
{
"type": "resize",
"width_in_px": 1200,
"height_in_px": 900,
"fit": "inside"
},
{
"type": "sharpen",
"sigma": 0.5
},
{
"type": "convert",
"format": "jpeg",
"quality": 85
},
{
"type": "compress_to_size",
"max_file_size_in_bytes": 500000
}
]
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.transformImage({
file: {
type: "url",
name: "hero.jpg",
url: "https://cdn.example.com/campaign/hero.jpg",
},
operations: [
{
type: "resize",
width_in_px: 1200,
height_in_px: 900,
fit: "inside",
},
{
type: "sharpen",
sigma: 0.5,
},
{
type: "convert",
format: "jpeg",
quality: 85,
},
{
type: "compress_to_size",
max_file_size_in_bytes: 500_000,
},
],
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.transform_image(
file={
"type": "url",
"name": "hero.jpg",
"url": "https://cdn.example.com/campaign/hero.jpg",
},
operations=[
{
"type": "resize",
"width_in_px": 1200,
"height_in_px": 900,
"fit": "inside",
},
{
"type": "sharpen",
"sigma": 0.5,
},
{
"type": "convert",
"format": "jpeg",
"quality": 85,
},
{
"type": "compress_to_size",
"max_file_size_in_bytes": 500_000,
},
],
)
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: "hero.jpg", Url: "https://cdn.example.com/campaign/hero.jpg"},
Operations: []il.TransformOperation{
il.NewResizeOperation(1200, 900, "inside"),
il.NewSharpenOperation(0.5),
il.NewConvertOperation("jpeg"),
il.NewCompressToSizeOperation(500_000),
},
})
if err != nil {
panic(err)
}
}
{
"name": "Compress Image for Email",
"nodes": [
{
"parameters": {
"content": "## Compress Image for Email\n\nMarketing teams and email platforms use this recipe to prepare images for email campaigns. Resize to email-friendly dimensions, sharpen after downscale, convert to JPEG for universal client support, and compress to a target file size \u2014 all in one API call.\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": "0cacbc50-e82b-4267-939f-1266511f7288",
"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": "d28f15fd-7c4d-465e-bbea-0de2c9d5561d",
"name": "Step 1 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "a1b2c3d4-e5f6-4a7b-8c9d-0e1f2a3b4c5d",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "imageTransformation",
"fileInputMode": "url",
"fileName": "hero.jpg",
"fileUrl": "https://cdn.example.com/campaign/hero.jpg",
"operations": {
"operationValues": [
{
"operationType": "resize",
"widthInPx": 1200,
"heightInPx": 900,
"fit": "inside"
},
{
"operationType": "sharpen",
"sigma": 0.5
},
{
"operationType": "convert",
"convertFormat": "jpeg",
"quality": 85
},
{
"operationType": "compress_to_size",
"maxFileSizeInBytes": 500000
}
]
}
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "d4e5f6a7-b8c9-4d0e-1f2a-3b4c5d6e7f8a",
"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"
}
}
Compress the image at [file URL] for email. Use the transform_image tool with a resize operation to [width]x[height] pixels (fit: inside), a sharpen operation, a convert operation to JPEG, and a compress_to_size operation with a max file size of [max file size in bytes] bytes.
Response
{
"success": true,
"data": {
"buffer": "/9j/4AAQSkZJRgABAQAAAQ...",
"mime_type": "image/jpeg"
}
}