{% extends "base.html" %} {% block title %}Resume Parser — AI-Powered Hiring Intelligence{% endblock %} {% block extra_head %} {% endblock %} {% block content %}
AI-powered resume intelligence

Parse, rank,
and hire smarter

Large language models read every resume like a senior recruiter—extracting skills, experience, and fit scores automatically. Stop manual copy-paste and let AI build your shortlist.

AI
Structured parsing
JD
Role matching
50+
Bulk uploads
PDF
DOCX & TXT

Everything you need to screen faster

Built for recruiting teams who need accurate extraction, searchable records, and intelligent ranking—all in one secure workspace.

Smart resume parsing

Upload PDF, DOCX, or plain text. AI extracts contact info, skills, experience, education, certifications, and more into structured JSON.

JD matching & ranking

Paste a job description or role title. Rank your entire candidate library against requirements with AI-powered match scores.

Bulk import

Process dozens of resumes at once. Background jobs handle large batches so your team can focus on shortlisting, not data entry.

Central resume library

Search, filter, and open full candidate profiles. Every parsed field is stored and searchable in your private database.

Unified dashboard

Parser, intelligence, listings, and account settings in one SPA-style workspace—no context switching between tools.

Secure & role-based

JWT authentication, admin controls, and per-user access. Manage team accounts and keep hiring data in-house.

Powered by OpenAI

AI that understands resumes

Our engine uses GPT models to turn unstructured CV text into recruiter-ready data—then scores every candidate against your job description with human-like reasoning, not keyword matching alone.

AI processing pipeline

1. Extract text

PDF, DOCX & TXT converted to clean text

2. LLM parse

GPT structures fields into JSON

3. Semantic match

Role identity & skills vs. JD

4. Ranked shortlist

Scores, pitches & gap analysis

Intelligent extraction

The AI reads each resume holistically—detecting whether the document is actually a CV, then pulling structured data even from messy layouts, tables, and bullet lists.

  • Name & contact
  • Work experience
  • Skills & projects
  • Education
  • Certifications
  • Languages
  • LinkedIn & GitHub
  • Professional summary

AI candidate ranking

Paste a job description or role title. The model acts as an expert technical recruiter—evaluating primary job identity, skill overlap, and role fit, not just keyword hits.

0–100

Match score

Penalizes wrong role identity (e.g. tester vs. developer) even when skills overlap

AI pitch

Two-sentence recruiter summary per candidate explaining fit

Skill gap analysis

Lists missing skills so you know what to probe in interviews

Manual screening

  • • Hours reading PDFs one by one
  • • Inconsistent notes across recruiters
  • • Keyword search misses context
  • • No standardized fit scoring

AI-powered workflow

  • • Bulk-parse 50+ resumes in one batch
  • • Structured JSON stored in your DB
  • • Semantic understanding of roles & skills
  • • Ranked shortlists with explainable scores

AI responses use structured JSON output for reliable parsing. Your data stays in your private database—models process text only when you upload or run a match.

How it works

From upload to shortlist in three steps

1

Upload resumes

Drag and drop single files or run a bulk import. Supported formats include PDF, DOCX, and TXT up to 10 MB each.

2

GPT extracts structure

OpenAI reads the full resume context and returns validated JSON—skills, experience, projects, education—ready for search and matching.

3

AI ranks your shortlist

The intelligence engine scores every candidate against your JD—surfacing match %, AI pitches, and missing skills so you interview the right people first.

Ready to streamline hiring?

Put AI to work on your next hiring round—upload resumes, run JD matching, and get a ranked shortlist in minutes.

Open dashboard
{% endblock %}