🚀 Now with batch processing — parse 50 CVs at once

Parse Resumes in Seconds,
Not Hours

AI-powered CV parsing API that extracts structured candidate data from PDF and DOCX files. Built for recruiters, HR platforms, and ATS providers.

No credit card required  •  10 free parses

response.json
{
  "full_name": "Jane Smith",
  "email": "jane@example.com",
  "skills": ["Python", "AWS", "Docker"],
  "work_experience": [{
    "title": "Senior Engineer",
    "company": "Tech Corp",
    "start_date": "2020-01"
  }],
  "confidence_score": 0.94
}

50M+

CVs Parsed

99.9%

Uptime

< 3s

Avg Parse Time

200+

Companies

Everything you need to parse CVs at scale

A complete API toolkit for extracting, structuring, and managing resume data with enterprise-grade reliability.

Smart Extraction

Extract names, emails, phone numbers, work history, education, skills, certifications, and languages from any CV.

Format Conversion

Convert CVs between PDF, DOCX, and JSON. Generate polished documents from parsed data with professional templates.

Lightning Fast

Parse a single CV in under 3 seconds. Batch process up to 50 files simultaneously with async job queues.

Custom Templates

Upload your own DOCX templates with Jinja2 placeholders. Render parsed CVs into your company's branded format.

Multi-Language

Parse CVs in English, French, German, Spanish, Portuguese, Dutch, and South African languages.

AI-Enhanced

GPT-4o-mini fallback for low-confidence parses. Hybrid spaCy + LLM pipeline for maximum accuracy.

Team & Organizations

Create organizations, invite team members, and manage roles. Shared billing and usage across your team.

Confidence Scoring

Per-field confidence scores, quality grades, and extraction warnings so you know exactly how reliable each result is.

Export Anywhere

Export parsed results as JSON, CSV, or Excel. Download converted documents in PDF or DOCX format.

Usage Analytics

Track parse volumes, success rates, processing times, and file type breakdowns with daily charts.

Webhooks

Get notified when parses complete. HMAC-SHA256 signed payloads for secure integrations with your systems.

Enterprise Security

JWT + API key dual auth, per-plan rate limiting, GDPR-ready data deletion, and encrypted storage on AWS.

Three steps to structured CV data

From raw resume to clean JSON in seconds.

01

Upload CV

Send a PDF or DOCX file to our API endpoint. We accept single files or batches of up to 50.

02

AI Processes

Our NLP pipeline extracts structured data using custom-trained Named Entity Recognition models.

03

Get Results

Receive clean, structured JSON with personal info, experience, education, skills, and more.

Simple, transparent pricing

Start free. Scale as you grow.

Ready to automate your CV parsing?

Join 200+ companies already using CVParse to streamline their hiring pipeline.

Get Started Free