| name | convert-resume-to-markdown |
| description | Convert a resume PDF to clean markdown for LLM parsing or candidate pipelines. |
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.
APIs Used
Document to Markdown (1 credit per page)
Prerequisites
You need an Iteration Layer API key. Get one at platform.iterationlayer.com — free trial credits included, no credit card required.
For full integration guidance (SDKs, auth, MCP, error handling), see the Iteration Layer Integration Guide.
Implementation
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.
Response
{
"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"
}
}
Links
