Resume Parsing API

Turn Resumes into Structured Data

Extract 150+ data points from PDF, DOCX, TXT, and image resumes with 95%+ accuracy. Our AI understands context, skills, and experience just like a human recruiter.

POST /v1/parse
{
  "personal_info": {
    "name": "Sarah Chen",
    "email": "sarah.c@example.com",
    "phone": "+1 (555) 123-4567"
  },
  "skills": [
    { "name": "React", "level": "Expert" },
    { "name": "TS", "level": "Advanced" },
    { "name": "Node.js", "level": "Advanced" }
  ],
  "experience": [
    {
      "title": "Senior FE Engineer",
      "company": "TechCorp",
      "duration": "3 years",
      "current": true
    }
  ]
}

Why Choose Our Parser?

Built for speed, accuracy, and scale. Handle millions of resumes without breaking a sweat.

Lightning Fast

Process resumes in under 2 seconds on average. Real-time parsing for instant user feedback.

95%+ Accuracy

Deep learning models trained on millions of diverse resumes ensure high-fidelity extraction.

PII Redaction

Automatically detect and redact sensitive personal information for unbiased hiring.

Developer Friendly

Simple REST API with comprehensive documentation, SDKs, and webhooks.

Multi-Format Support

Support for PDF, DOC, DOCX, RTF, TXT, and even image-based resumes (OCR).

Standardized Output

Get clean, structured JSON output mapped to a consistent schema regardless of input format.

Resume parsing questions

What the parsing endpoint accepts, returns, and costs.

PDF, DOCX, TXT and image resumes (PNG, JPG), including scanned documents. You send the file to POST /v1/parse with an X-API-Key header and get structured JSON back.

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