Drop in a resume or CV — PDF, Word .docx, raw text, or even a photo/scan — and get back name, contact, full work history, education, skills, and certifications, every field normalized and ready for your ATS or recruiting tool. A vision model reads scanned and photographed resumes that text-only parsers choke on, and processing is on-prem with no data retention.
PDF, Word .docx, raw text, or a photographed/scanned resume.
A vision model, not text-only — it handles images that break the competition.
Work history with YYYY-MM dates, a current flag, bullets, education, skills, certs.
On-prem processing — a real answer to candidate-PII (GDPR/CCPA) concerns.
Every parse returns a confidence score plus the full raw_text.
Generous free tier; undercuts per-page incumbents at ~100% margin on our own GPU.
Provide exactly one source field.
| Field | Type | Required | Description |
|---|---|---|---|
| pdf_url | string | one source | Public URL of a PDF resume. |
| pdf_b64 | string | one source | Base64 PDF bytes. |
| docx_url | string | one source | Public URL of a Word .docx resume. |
| docx_b64 | string | one source | Base64 .docx bytes. |
| image_url | string | one source | Public URL of a photo/scan of a resume. |
| image_b64 | string | one source | Base64 image bytes (or a data: URI). |
| text | string | one source | Raw resume text already in hand. |
| language | string | optional | Output language code (default en). |
curl -X POST \
"https://resume-cv-parser-to-json.p.rapidapi.com/v1/resume-parse" \
-H "Content-Type: application/json" \
-H "X-RapidAPI-Key: YOUR_KEY" \
-H "X-RapidAPI-Host: resume-cv-parser-to-json.p.rapidapi.com" \
-d '{
"pdf_url": "https://example.com/jane-doe-resume.pdf"
}'
{
"name": "Jane Doe",
"headline": "Senior Software Engineer",
"contact": {
"email": "[email protected]",
"phone": "(555) 123-4567",
"location": "San Francisco, CA",
"links": ["linkedin.com/in/janedoe"]
},
"work": [{
"title": "Staff Engineer",
"company": "Acme Corp",
"start": "2021-01", "end": "", "current": true,
"bullets": ["Led migration to microservices"]
}],
"education": [{ "degree": "B.S.", "field": "Computer Science",
"institution": "Stanford University", "end": "2018-06" }],
"skills": ["Python", "Go", "Kubernetes"],
"certifications": [{ "name": "AWS Solutions Architect" }],
"confidence": 0.98
}
| Plan | Price / mo | Quota | Overage |
|---|---|---|---|
| Basic | $0 | 50 parses/mo | — |
| Propopular | $29 | 2,000 parses/mo | $0.012/parse |
| Ultra | $79 | 8,000 parses/mo | $0.008/parse |
| Mega | $199 | 30,000 parses/mo | $0.005/parse |