Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
Generate a professionally styled PDF document from Markdown content with custom fonts, headers, and page numbers.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Content teams and publishing platforms use this recipe to produce PDF documents from Markdown source files. Define page layout, typography, and branding — the API renders the Markdown into a polished PDF with headers, footers, and page numbers.
Document Generation (1 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/document-generation/v1/generate \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"format": "pdf",
"document": {
"metadata": {
"title": "Project Proposal",
"author": "Engineering Team"
},
"page": {
"size": { "preset": "A4" },
"margins": {
"top_in_pt": 72,
"right_in_pt": 72,
"bottom_in_pt": 72,
"left_in_pt": 72
}
},
"styles": {
"text": {
"font_family": "Helvetica",
"font_size_in_pt": 12.0,
"line_height": 1.5,
"color": "#1A1A1A"
},
"headline": {
"font_family": "Helvetica",
"font_size_in_pt": 20.0,
"color": "#111111",
"spacing_before_in_pt": 24.0,
"spacing_after_in_pt": 12.0,
"font_weight": "bold"
},
"link": {
"color": "#0066CC",
"is_underlined": true
},
"list": {
"text_style": {
"font_family": "Helvetica",
"font_size_in_pt": 12.0,
"line_height": 1.5,
"color": "#1A1A1A"
},
"marker_color": "#1A1A1A",
"marker_gap_in_pt": 8.0
},
"table": {
"header": {
"background_color": "#2B579A",
"text_color": "#FFFFFF",
"font_size_in_pt": 12.0,
"font_weight": "bold"
},
"body": {
"background_color": "#FFFFFF",
"text_color": "#333333",
"font_size_in_pt": 12.0
},
"border": {
"outer": {
"top": { "color": "#CCCCCC", "width_in_pt": 1.0 },
"right": { "color": "#CCCCCC", "width_in_pt": 1.0 },
"bottom": { "color": "#CCCCCC", "width_in_pt": 1.0 },
"left": { "color": "#CCCCCC", "width_in_pt": 1.0 }
},
"inner": {
"horizontal": { "color": "#EEEEEE", "width_in_pt": 0.5 },
"vertical": { "color": "#EEEEEE", "width_in_pt": 0.5 }
}
}
},
"separator": {
"color": "#CCCCCC",
"thickness_in_pt": 0.5,
"spacing_before_in_pt": 24.0,
"spacing_after_in_pt": 24.0
},
"image": {
"border_color": "#000000",
"border_width_in_pt": 0.0
}
},
"footer": [
{
"type": "paragraph",
"runs": [{
"text": "Page {{page_number}}"
}]
}
],
"content": [
{
"type": "headline",
"level": "h1",
"text": "Project Proposal"
},
{
"type": "paragraph",
"markdown": "## Overview\n\nThis proposal outlines the technical approach, timeline, and resource requirements for the **Platform Modernization** initiative.\n\n## Goals\n\n- Migrate the monolithic backend to a **microservices architecture**\n- Reduce average API response time from 420ms to under 100ms\n- Achieve **99.95% uptime** SLA for all customer-facing endpoints\n- Implement automated canary deployments across all services\n\n## Timeline\n\n**Phase 1 — Foundation (Weeks 1–4)**\nService mesh setup, CI/CD pipeline migration, and observability instrumentation.\n\n**Phase 2 — Migration (Weeks 5–12)**\nIncremental extraction of domain services from the monolith, starting with authentication and billing.\n\n**Phase 3 — Optimization (Weeks 13–16)**\nPerformance tuning, load testing, and SLA validation.\n\n## Budget\n\nEstimated total: **$284,000** across infrastructure, tooling, and contractor hours."
}
]
}
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.generateDocument({
format: "pdf",
document: {
metadata: {
title: "Project Proposal",
author: "Engineering Team",
},
page: {
size: { preset: "A4" },
margins: {
top_in_pt: 72,
right_in_pt: 72,
bottom_in_pt: 72,
left_in_pt: 72,
},
},
styles: {
text: {
font_family: "Helvetica",
font_size_in_pt: 12.0,
line_height: 1.5,
color: "#1A1A1A",
},
headline: {
font_family: "Helvetica",
font_size_in_pt: 20.0,
color: "#111111",
spacing_before_in_pt: 24.0,
spacing_after_in_pt: 12.0,
font_weight: "bold",
},
link: {
color: "#0066CC",
is_underlined: true,
},
list: {
text_style: {
font_family: "Helvetica",
font_size_in_pt: 12.0,
line_height: 1.5,
color: "#1A1A1A",
},
marker_color: "#1A1A1A",
marker_gap_in_pt: 8.0,
},
table: {
header: {
background_color: "#2B579A",
text_color: "#FFFFFF",
font_size_in_pt: 12.0,
font_weight: "bold",
},
body: {
background_color: "#FFFFFF",
text_color: "#333333",
font_size_in_pt: 12.0,
},
border: {
outer: {
top: { color: "#CCCCCC", width_in_pt: 1.0 },
right: { color: "#CCCCCC", width_in_pt: 1.0 },
bottom: { color: "#CCCCCC", width_in_pt: 1.0 },
left: { color: "#CCCCCC", width_in_pt: 1.0 },
},
inner: {
horizontal: { color: "#EEEEEE", width_in_pt: 0.5 },
vertical: { color: "#EEEEEE", width_in_pt: 0.5 },
},
},
},
separator: {
color: "#CCCCCC",
thickness_in_pt: 0.5,
spacing_before_in_pt: 24.0,
spacing_after_in_pt: 24.0,
},
image: {
border_color: "#000000",
border_width_in_pt: 0.0,
},
},
footer: [
{
type: "paragraph",
runs: [
{
text: "Page {{page_number}}",
},
],
},
],
content: [
{
type: "headline",
level: "h1",
text: "Project Proposal",
},
{
type: "paragraph",
markdown:
"## Overview\n\nThis proposal outlines the technical approach, timeline, and resource requirements for the **Platform Modernization** initiative.\n\n## Goals\n\n- Migrate the monolithic backend to a **microservices architecture**\n- Reduce average API response time from 420ms to under 100ms\n- Achieve **99.95% uptime** SLA for all customer-facing endpoints\n- Implement automated canary deployments across all services\n\n## Timeline\n\n**Phase 1 — Foundation (Weeks 1–4)**\nService mesh setup, CI/CD pipeline migration, and observability instrumentation.\n\n**Phase 2 — Migration (Weeks 5–12)**\nIncremental extraction of domain services from the monolith, starting with authentication and billing.\n\n**Phase 3 — Optimization (Weeks 13–16)**\nPerformance tuning, load testing, and SLA validation.\n\n## Budget\n\nEstimated total: **$284,000** across infrastructure, tooling, and contractor hours.",
},
],
},
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.generate_document(
format="pdf",
document={
"metadata": {
"title": "Project Proposal",
"author": "Engineering Team",
},
"page": {
"size": {"preset": "A4"},
"margins": {
"top_in_pt": 72,
"right_in_pt": 72,
"bottom_in_pt": 72,
"left_in_pt": 72,
},
},
"styles": {
"text": {
"font_family": "Helvetica",
"font_size_in_pt": 12.0,
"line_height": 1.5,
"color": "#1A1A1A",
},
"headline": {
"font_family": "Helvetica",
"font_size_in_pt": 20.0,
"color": "#111111",
"spacing_before_in_pt": 24.0,
"spacing_after_in_pt": 12.0,
"font_weight": "bold",
},
"link": {
"color": "#0066CC",
"is_underlined": True,
},
"list": {
"text_style": {
"font_family": "Helvetica",
"font_size_in_pt": 12.0,
"line_height": 1.5,
"color": "#1A1A1A",
},
"marker_color": "#1A1A1A",
"marker_gap_in_pt": 8.0,
},
"table": {
"header": {
"background_color": "#2B579A",
"text_color": "#FFFFFF",
"font_size_in_pt": 12.0,
"font_weight": "bold",
},
"body": {
"background_color": "#FFFFFF",
"text_color": "#333333",
"font_size_in_pt": 12.0,
},
"border": {
"outer": {
"top": {"color": "#CCCCCC", "width_in_pt": 1.0},
"right": {"color": "#CCCCCC", "width_in_pt": 1.0},
"bottom": {"color": "#CCCCCC", "width_in_pt": 1.0},
"left": {"color": "#CCCCCC", "width_in_pt": 1.0},
},
"inner": {
"horizontal": {"color": "#EEEEEE", "width_in_pt": 0.5},
"vertical": {"color": "#EEEEEE", "width_in_pt": 0.5},
},
},
},
"separator": {
"color": "#CCCCCC",
"thickness_in_pt": 0.5,
"spacing_before_in_pt": 24.0,
"spacing_after_in_pt": 24.0,
},
"image": {
"border_color": "#000000",
"border_width_in_pt": 0.0,
},
},
"footer": [
{
"type": "paragraph",
"runs": [{
"text": "Page {{page_number}}",
}],
},
],
"content": [
{
"type": "headline",
"level": "h1",
"text": "Project Proposal",
},
{
"type": "paragraph",
"markdown": "## Overview\n\nThis proposal outlines the technical approach, timeline, and resource requirements for the **Platform Modernization** initiative.\n\n## Goals\n\n- Migrate the monolithic backend to a **microservices architecture**\n- Reduce average API response time from 420ms to under 100ms\n- Achieve **99.95% uptime** SLA for all customer-facing endpoints\n- Implement automated canary deployments across all services\n\n## Timeline\n\n**Phase 1 \u2014 Foundation (Weeks 1\u20134)**\nService mesh setup, CI/CD pipeline migration, and observability instrumentation.\n\n**Phase 2 \u2014 Migration (Weeks 5\u201312)**\nIncremental extraction of domain services from the monolith, starting with authentication and billing.\n\n**Phase 3 \u2014 Optimization (Weeks 13\u201316)**\nPerformance tuning, load testing, and SLA validation.\n\n## Budget\n\nEstimated total: **$284,000** across infrastructure, tooling, and contractor hours.",
},
],
},
)
package main
import il "github.com/iterationlayer/sdk-go"
func main() {
client := il.NewClient("YOUR_API_KEY")
result, err := client.GenerateDocument(il.GenerateDocumentRequest{
Format: "pdf",
Document: il.DocumentDefinition{
Metadata: il.DocumentMetadata{
Title: "Project Proposal",
Author: "Engineering Team",
},
Page: il.PageConfig{
Size: il.PageSize{Preset: "A4"},
Margins: il.Margins{
TopInPt: 72,
RightInPt: 72,
BottomInPt: 72,
LeftInPt: 72,
},
},
Footer: []il.ContentBlock{
il.ContentBlock{
"type": "paragraph",
"runs": []map[string]string{
{"text": "Page {{page_number}}"},
},
},
},
Content: []il.ContentBlock{
il.NewHeadlineBlock("h1", "Project Proposal"),
il.ParagraphBlock{
Type: "paragraph",
Markdown: "## Overview\n\nThis proposal outlines the technical approach, timeline, and resource requirements for the **Platform Modernization** initiative.\n\n## Goals\n\n- Migrate the monolithic backend to a **microservices architecture**\n- Reduce average API response time from 420ms to under 100ms\n- Achieve **99.95% uptime** SLA for all customer-facing endpoints\n- Implement automated canary deployments across all services\n\n## Timeline\n\n**Phase 1 \u2014 Foundation (Weeks 1\u20134)**\nService mesh setup, CI/CD pipeline migration, and observability instrumentation.\n\n**Phase 2 \u2014 Migration (Weeks 5\u201312)**\nIncremental extraction of domain services from the monolith, starting with authentication and billing.\n\n**Phase 3 \u2014 Optimization (Weeks 13\u201316)**\nPerformance tuning, load testing, and SLA validation.\n\n## Budget\n\nEstimated total: **$284,000** across infrastructure, tooling, and contractor hours.",
},
},
},
})
if err != nil {
panic(err)
}
_ = result
}
{
"name": "Convert Markdown to Styled PDF",
"nodes": [
{
"parameters": {
"content": "## Convert Markdown to Styled PDF\n\nContent teams and publishing platforms use this recipe to produce PDF documents from Markdown source files. Define page layout, typography, and branding \u2014 the API renders the Markdown into a polished PDF with headers, footers, and page numbers.\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": "06d7da47-e6a2-45cd-a121-11139c0ad5dc",
"name": "Overview"
},
{
"parameters": {
"content": "### Step 1: Generate Document\nResource: **Document Generation**\n\nConfigure the Document Generation parameters below, then connect your credentials.",
"height": 160,
"width": 300,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
475,
100
],
"id": "2eedd640-2bc5-47f0-8380-678535611db0",
"name": "Step 1 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "aff89aa7-dcf6-4a26-bc44-b60fc9471099",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "documentGeneration",
"format": "pdf",
"documentJson": "{\n \"metadata\": {\n \"title\": \"Project Proposal\",\n \"author\": \"Engineering Team\"\n },\n \"page\": {\n \"size\": {\n \"preset\": \"A4\"\n },\n \"margins\": {\n \"top_in_pt\": 72,\n \"right_in_pt\": 72,\n \"bottom_in_pt\": 72,\n \"left_in_pt\": 72\n }\n },\n \"styles\": {\n \"text\": {\n \"font_family\": \"Helvetica\",\n \"font_size_in_pt\": 12.0,\n \"line_height\": 1.5,\n \"color\": \"#1A1A1A\"\n },\n \"headline\": {\n \"font_family\": \"Helvetica\",\n \"font_size_in_pt\": 20.0,\n \"color\": \"#111111\",\n \"spacing_before_in_pt\": 24.0,\n \"spacing_after_in_pt\": 12.0,\n \"font_weight\": \"bold\"\n },\n \"link\": {\n \"color\": \"#0066CC\",\n \"is_underlined\": true\n },\n \"list\": {\n \"text_style\": {\n \"font_family\": \"Helvetica\",\n \"font_size_in_pt\": 12.0,\n \"line_height\": 1.5,\n \"color\": \"#1A1A1A\"\n },\n \"marker_color\": \"#1A1A1A\",\n \"marker_gap_in_pt\": 8.0\n },\n \"table\": {\n \"header\": {\n \"background_color\": \"#2B579A\",\n \"text_color\": \"#FFFFFF\",\n \"font_size_in_pt\": 12.0,\n \"font_weight\": \"bold\"\n },\n \"body\": {\n \"background_color\": \"#FFFFFF\",\n \"text_color\": \"#333333\",\n \"font_size_in_pt\": 12.0\n },\n \"border\": {\n \"outer\": {\n \"top\": {\n \"color\": \"#CCCCCC\",\n \"width_in_pt\": 1.0\n },\n \"right\": {\n \"color\": \"#CCCCCC\",\n \"width_in_pt\": 1.0\n },\n \"bottom\": {\n \"color\": \"#CCCCCC\",\n \"width_in_pt\": 1.0\n },\n \"left\": {\n \"color\": \"#CCCCCC\",\n \"width_in_pt\": 1.0\n }\n },\n \"inner\": {\n \"horizontal\": {\n \"color\": \"#EEEEEE\",\n \"width_in_pt\": 0.5\n },\n \"vertical\": {\n \"color\": \"#EEEEEE\",\n \"width_in_pt\": 0.5\n }\n }\n }\n },\n \"separator\": {\n \"color\": \"#CCCCCC\",\n \"thickness_in_pt\": 0.5,\n \"spacing_before_in_pt\": 24.0,\n \"spacing_after_in_pt\": 24.0\n },\n \"image\": {\n \"border_color\": \"#000000\",\n \"border_width_in_pt\": 0.0\n }\n },\n \"footer\": [\n {\n \"type\": \"paragraph\",\n \"runs\": [\n {\n \"text\": \"Page {{page_number}}\"\n }\n ]\n }\n ],\n \"content\": [\n {\n \"type\": \"headline\",\n \"level\": \"h1\",\n \"text\": \"Project Proposal\"\n },\n {\n \"type\": \"paragraph\",\n \"markdown\": \"## Overview\\n\\nThis proposal outlines the technical approach, timeline, and resource requirements for the **Platform Modernization** initiative.\\n\\n## Goals\\n\\n- Migrate the monolithic backend to a **microservices architecture**\\n- Reduce average API response time from 420ms to under 100ms\\n- Achieve **99.95% uptime** SLA for all customer-facing endpoints\\n- Implement automated canary deployments across all services\\n\\n## Timeline\\n\\n**Phase 1 \\u2014 Foundation (Weeks 1\\u20134)**\\nService mesh setup, CI/CD pipeline migration, and observability instrumentation.\\n\\n**Phase 2 \\u2014 Migration (Weeks 5\\u201312)**\\nIncremental extraction of domain services from the monolith, starting with authentication and billing.\\n\\n**Phase 3 \\u2014 Optimization (Weeks 13\\u201316)**\\nPerformance tuning, load testing, and SLA validation.\\n\\n## Budget\\n\\nEstimated total: **$284,000** across infrastructure, tooling, and contractor hours.\"\n }\n ]\n}"
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "97142777-c40c-4226-a4cb-ee504821878f",
"name": "Generate Document",
"credentials": {
"iterationLayerApi": {
"id": "1",
"name": "Iteration Layer API"
}
}
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{
"node": "Generate Document",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}
Generate a styled PDF from the following markdown content. Use the generate_document tool with format "pdf", providing the [markdown content] as the document body. Configure page size, margins, and typography styles as needed.
{
"success": true,
"data": {
"buffer": "JVBERi0xLjQK...",
"mime_type": "application/pdf"
}
}
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
Compress an image to fit within a specific file size in bytes using quality-first compression.
日本語の概要は準備中です。原文の説明を表示しています。
Convert a contract PDF to clean markdown for clause extraction or LLM analysis.
日本語の概要は準備中です。原文の説明を表示しています。
Convert external documents — specs, contracts, reports — to markdown for knowledge base ingestion.
日本語の概要は準備中です。原文の説明を表示しています。
Convert a document to clean markdown suitable for chunking and embedding in a RAG pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
Convert an image between PNG, JPEG, and WebP formats with quality control for web optimization.
日本語の概要は準備中です。原文の説明を表示しています。