Resume parser API.
PDF to structured JSON. One endpoint, one API call. 99.2% accuracy, under 10 seconds, GDPR compliant.
99.2%
Accuracy
<10s
Processing time
99.9%
Uptime SLA
GDPR
Compliant
Integration
One API call
Send a PDF, get structured JSON. Works with ATS systems, CRMs, and any automation pipeline. We tested every parser on the market and built our own because none met our accuracy requirements.
# Parse a resume
curl -X POST https://api.resumeparser.herizon.io/parse \
-H "Authorization: Bearer $API_KEY" \
-F "file=@resume.pdf"
# Response (JSON)
{
"name": "Anna Korhonen",
"email": "anna@example.com",
"experience": [{
"title": "Product Manager",
"company": "TechCo Oy",
"dates": "2022-2025"
}],
"skills": ["Python", "SQL", ...]
}
What it extracts
Personal
- Full name
- Email address
- Phone number
- Location
Experience
- Job title
- Organization
- Date range
- Skills used
Education
- Degree
- Institution
- Graduation year
- Field of study
Built for accuracy
Human-readable formatting
Preserves the original structure and readability of the resume content.
Markdown bullet points
Work experience descriptions formatted as clean markdown lists.
Consistent date parsing
Handles all date formats and normalizes them for easy processing.
Full contact extraction
Name, email, phone, location, and social profiles extracted reliably.
Deployment options
Hosted for simplicity or self-hosted for full control.
Self-hosted
On-premise deployment
- Docker container
- Full data control
- Air-gapped option
- Custom licensing
Common questions
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