Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Resize and crop a single image into platform-specific dimensions for social media.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Social media managers and marketing teams use this recipe to create a correctly sized image for a specific platform. Upload one source image and resize it to platform-specific dimensions — ready for publishing on Instagram, Twitter, LinkedIn, and more.
Image Transformation (0.5 credits/request)
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.
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": "brand-image.jpg",
"url": "https://example.com/brand-image.jpg"
},
"operations": [
{
"type": "resize",
"width_in_px": 1080,
"height_in_px": 1080,
"fit": "cover"
},
{
"type": "convert",
"format": "jpeg",
"quality": 90
}
]
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.transformImage({
file: {
type: "url",
name: "brand-image.jpg",
url: "https://example.com/brand-image.jpg",
},
operations: [
{
type: "resize",
width_in_px: 1080,
height_in_px: 1080,
fit: "cover",
},
{
type: "convert",
format: "jpeg",
quality: 90,
},
],
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.transform_image(
file={
"type": "url",
"name": "brand-image.jpg",
"url": "https://example.com/brand-image.jpg",
},
operations=[
{
"type": "resize",
"width_in_px": 1080,
"height_in_px": 1080,
"fit": "cover",
},
{
"type": "convert",
"format": "jpeg",
"quality": 90,
},
],
)
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: "brand-image.jpg", Url: "https://example.com/brand-image.jpg"},
Operations: []il.TransformOperation{
il.NewResizeOperation(1080, 1080, "cover"),
il.NewConvertOperation("jpeg"),
},
})
if err != nil {
panic(err)
}
}
{
"name": "Resize Image for Social Media",
"nodes": [
{
"parameters": {
"content": "## Resize Image for Social Media\n\nSocial media managers and marketing teams use this recipe to create a correctly sized image for a specific platform. Upload one source image and resize it to platform-specific dimensions \u2014 ready for publishing on Instagram, Twitter, LinkedIn, and more.\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": "c63dfab3-9ffe-40dd-9b8a-23d58ec44364",
"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": "d9e863c7-31d9-45db-a518-1b00d2a076f9",
"name": "Step 1 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "e1f2a3b4-c5d6-4e7f-8a9b-1c2d3e4f5a6b",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "imageTransformation",
"fileInputMode": "url",
"fileName": "brand-image.jpg",
"fileUrl": "https://example.com/brand-image.jpg",
"operations": {
"operationValues": [
{
"operationType": "resize",
"widthInPx": 1080,
"heightInPx": 1080,
"fit": "cover"
},
{
"operationType": "convert",
"convertFormat": "jpeg",
"quality": 90
}
]
}
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "b4c5d6e7-f8a9-4b0c-1d2e-3f4a5b6c7d8e",
"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"
}
}
Resize the image at [file URL] for social media. Use the transform_image tool with a resize operation to [width]x[height] pixels (fit: cover) and a convert operation to JPEG at quality [quality].
{
"success": true,
"data": {
"buffer": "iVBORw0KGgoAAAANSUhEUgAA...",
"mime_type": "image/jpeg"
}
}
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Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Compress an image to fit within a specific file size in bytes using quality-first compression.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert a contract PDF to clean markdown for clause extraction or LLM analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert external documents — specs, contracts, reports — to markdown for knowledge base ingestion.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert a document to clean markdown suitable for chunking and embedding in a RAG pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert an image between PNG, JPEG, and WebP formats with quality control for web optimization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.