Smart resume parsing
Upload PDF, DOCX, or plain text. AI extracts contact info, skills, experience, education, certifications, and more into structured JSON.
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.
Built for recruiting teams who need accurate extraction, searchable records, and intelligent ranking—all in one secure workspace.
Upload PDF, DOCX, or plain text. AI extracts contact info, skills, experience, education, certifications, and more into structured JSON.
Paste a job description or role title. Rank your entire candidate library against requirements with AI-powered match scores.
Process dozens of resumes at once. Background jobs handle large batches so your team can focus on shortlisting, not data entry.
Search, filter, and open full candidate profiles. Every parsed field is stored and searchable in your private database.
Parser, intelligence, listings, and account settings in one SPA-style workspace—no context switching between tools.
JWT authentication, admin controls, and per-user access. Manage team accounts and keep hiring data in-house.
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.
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
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.
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.
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
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.
From upload to shortlist in three steps
Drag and drop single files or run a bulk import. Supported formats include PDF, DOCX, and TXT up to 10 MB each.
OpenAI reads the full resume context and returns validated JSON—skills, experience, projects, education—ready for search and matching.
The intelligence engine scores every candidate against your JD—surfacing match %, AI pitches, and missing skills so you interview the right people first.
Put AI to work on your next hiring round—upload resumes, run JD matching, and get a ranked shortlist in minutes.
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