ATS Resume Builder API
Build clean, ATS-friendly resumes from structured JSON data. The layout is designed to parse correctly in applicant tracking systems while still looking professional. Education, work experience, projects, and skills sections — all configurable.
Example output
Quick start
curl -X POST https://api.lobsterpdf.com/render/resume \
-H "Content-Type: application/json" \
-d '{"author":"Jane Doe","work":[{"company":"Acme Corp","title":"Engineer","location":"NYC","dates":"2024 — Present"}]}'
↓
{"url": "https://api.lobsterpdf.com/pdf/a1b2c3d4e5f6"}
Fields
Required: author
Optional: location, email, github, linkedin, phone, personal_site, accent_color, paper, education, work, projects, skills
Full schema reference & field details →
Example JSON
{
"author": "Jane Doe",
"work": [
{
"company": "Acme Corp",
"title": "Engineer",
"location": "NYC",
"dates": "2024 — Present"
}
]
}
Why ATS Resume Builder API?
- Standards-compliant — not “looks about right”, actually follows the spec
- JSON in, PDF out — no HTML, no LaTeX, no template files to manage
- Built for automation — structured errors, JSON schemas, MCP support
- Free during beta — no credit card, no rate limits
Use with AI agents
LobsterPDF is purpose-built for LLM agents. Use the MCP endpoint for native tool discovery, or call the REST API directly. Token-efficient schemas mean lower cost per call.