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。
Convert a resume PDF to clean markdown for LLM parsing or candidate pipelines.
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。
Recruiting platforms and HR automation tools use this recipe to convert candidate resumes to structured markdown before feeding them into LLM screening, comparison, or extraction workflows.
Document to Markdown (1 credit per page)
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-to-markdown/v1/convert \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"file": {
"type": "url",
"name": "resume.pdf",
"url": "https://example.com/candidates/jane-doe-resume.pdf"
}
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.convertDocumentToMarkdown({
file: {
type: "url",
name: "resume.pdf",
url: "https://example.com/candidates/jane-doe-resume.pdf",
},
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.convert_document_to_markdown(
file={
"type": "url",
"name": "resume.pdf",
"url": "https://example.com/candidates/jane-doe-resume.pdf",
}
)
import il "github.com/iterationlayer/sdk-go"
client := il.NewClient("YOUR_API_KEY")
result, err := client.ConvertDocumentToMarkdown(il.ConvertDocumentToMarkdownRequest{
File: il.FileInput{Type: "url", Name: "resume.pdf", Url: "https://example.com/candidates/jane-doe-resume.pdf"},
})
{
"name": "Convert Resume to Markdown",
"nodes": [
{
"parameters": {
"content": "## Convert Resume to Markdown
Recruiting platforms and HR automation tools use this recipe to convert candidate resumes to structured markdown before feeding them into LLM screening, comparison, or extraction workflows.
**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": "f3eb0ee8-29a6-4e97-9561-e25585c40171",
"name": "Overview"
},
{
"parameters": {
"content": "### Step 1: Convert Document to Markdown
Resource: **Document to Markdown**
Configure the Document to Markdown parameters below, then connect your credentials.",
"height": 160,
"width": 300,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
475,
100
],
"id": "281fedea-1917-4786-8f97-e6cb02f31045",
"name": "Step 1 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "4abc0d95-5348-4afe-9f0a-7d40078184d2",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "documentToMarkdown",
"fileInputMode": "url",
"fileName": "resume.pdf",
"fileUrl": "https://example.com/candidates/jane-doe-resume.pdf"
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "bfd7632c-6703-4c1c-87e2-7dfb7a35475b",
"name": "Convert Document to Markdown",
"credentials": {
"iterationLayerApi": {
"id": "1",
"name": "Iteration Layer API"
}
}
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{
"node": "Convert Document to Markdown",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}
Convert the resume PDF at [file URL] to markdown. Use the convert_document_to_markdown tool with the file URL.
{
"success": true,
"data": {
"name": "resume.pdf",
"mime_type": "application/pdf",
"markdown": "# Jane Doe\n\njane.doe@example.com | +49 30 12345678 | Berlin, Germany\n\n## Experience\n\n**Senior Software Engineer** — Acme GmbH (2021–present)\n- Led backend development for a B2B SaaS platform serving 500+ enterprise clients\n- Reduced API response time by 40% through query optimization and caching\n\n**Software Engineer** — Startup AG (2018–2021)\n- Built and maintained REST APIs in Elixir and Go\n- Introduced automated testing, raising code coverage from 30% to 85%\n\n## Education\n\n**M.Sc. Computer Science** — TU Berlin (2018)\n\n## Skills\n\nElixir, Go, TypeScript, PostgreSQL, Redis, Docker, Kubernetes"
}
}
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。