From email CV capture to intelligent job matching in seconds. Parse, structure, score and hire — all without touching a spreadsheet.
A fully automated recruitment pipeline — from your inbox to a ranked candidate shortlist.
All parsed candidates in a structured, searchable view.
| Candidate | Location | Skills | Experience | Qualification | Score | |
|---|---|---|---|---|---|---|
|
JD
John Doe Parsed 2h ago |
john.doe@email.com | London, UK |
Python
ML
AWS
|
6 Years | MSc Computer Science |
87%
|
|
SL
Sarah Lee Parsed 5h ago |
sarah.lee@email.com | Singapore |
React
Node.js
TypeScript
|
4 Years | BEng Software Engineering |
73%
|
|
RP
Raj Perera Parsed 1d ago |
raj.perera@email.lk | Colombo, LK |
Java
Spring
Docker
|
8 Years | BSc Information Systems |
91%
|
|
AM
Amira Mansour Parsed 2d ago |
amira.m@outlook.com | Dubai, UAE |
Data Science
SQL
|
5 Years | PhD Statistics |
79%
|
Upload any CV (PDF, DOCX, or image) and watch the structuring pipeline run. This is a sandboxed front-end demo — no file ever leaves your browser.
Drag & drop your CV here, or click to browse
PDF, DOCX, PNG or JPG · Processed locally in your browser only
This is a simulated result to demonstrate the CVNex parsing experience. No data from your file was uploaded, stored, or analyzed — everything above runs in your browser.
Real-time metrics on your recruitment pipeline performance.
Every email received and its CV parsing outcome.
| Sender | Subject | Attachment | Status | Received |
|---|---|---|---|---|
john.doe@email.com |
Application for Senior ML Engineer | JohnDoe_CV.pdf | ✓ Success | Today, 09:14 |
sarah.lee@email.com |
CV – Frontend Developer Role | Sarah_Resume.pdf | ✓ Success | Today, 08:02 |
anon.user@hotmail.com |
Job Application | No attachment | ✕ Failed | Yesterday, 17:30 |
raj.perera@email.lk |
Application – Java Backend Developer | RajPerera_CV.pdf | ✓ Success | Yesterday, 14:11 |
unknown@spam.net |
RE: URGENT – Partnership Offer | No CV detected | ✕ Rejected | Yesterday, 09:55 |
amira.m@outlook.com |
Data Scientist Application | Amira_CV_2025.pdf | ⏳ Processing | Today, 10:44 |
Paste a job description and let CVNex rank every candidate instantly.
Try editing the text above — mention skills like React, Java, Docker, SQL, or Figma and re-run matching to see the ranking change.
Everything you need to automate, analyse, and accelerate your recruitment pipeline.
LLM-powered extraction of name, skills, experience, qualifications, and contact info from any PDF format — structured and ready.
Connects directly to your inbox — monitors, filters, and ingests CV attachments 24/7 without any manual steps.
Automatically tags technical skills, soft skills, tools, and certifications from free-text CV content — no templates required.
Semantic AI matching scores every candidate against your JD — ranked results with matched and missing skill breakdowns.
Hiring funnel metrics, source attribution, parsing success rates, and week-on-week volume trends — all in one view.
Candidate data stored securely with consent tracking, right-to-delete workflows, and audit logs built in from day one.
Join 200+ hiring teams who've eliminated manual CV screening with CVNex.