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Working with Candidates

Resume Extraction & Search

How Kit automatically extracts and indexes resume data for smarter candidate search

Why It Matters

Resumes contain rich information — skills, experience, education, certifications — but without extraction, search is limited to name and email. Resume extraction makes the full content of every resume searchable, so you can find candidates by what they’ve actually done.

How It Works

When a resume is uploaded through an application form or a verified talent pool entry, Kit automatically extracts structured data using AI. The extraction runs in the background — no manual steps required.

  1. Candidate uploads a resume (PDF, DOCX, or DOC)
  2. Kit extracts structured fields from the document using AI
  3. Extracted data becomes searchable across your account

What Gets Extracted

Field Description
Name First and last name
Contact info Email address, phone number, LinkedIn URL
Location City and country
Skills List of technical and professional skills
Education Schools, degrees, and graduation dates
Work history Companies, titles, dates, and descriptions
Experience summary Brief overview of the candidate’s background

Searching by Resume Content

Candidate search matches against extracted resume content — not just name and email. You can search by:

  • Skills — “React”, “Python”, “project management”
  • Company names — “Google”, “Stripe”
  • Technologies — “PostgreSQL”, “Kubernetes”
  • Job titles — “senior engineer”, “product manager”
  • Education — “MIT”, “computer science”

This applies to both the Candidates list and Talent Pool search.

Where You’ll See It

  • Candidate profile — Extracted data appears on the candidate detail page
  • Application timeline — Extraction results appear below the uploaded resume in the application form section
  • Talent pool entries — Verified entries with resumes show extracted data on their detail page

Supported File Formats

Format Support
PDF Full support — text and layout preserved
DOCX Supported — text extracted, formatting simplified
DOC Basic support — older format, text-only extraction

Quick Checklist

  • Search by skill or technology to find candidates with specific expertise
  • Review extracted data on candidate profiles before interviews
  • Upload resumes in PDF format for the best extraction results
  • Check the application timeline to see extraction results alongside the original resume
  • Use specific search terms (e.g. “Kubernetes” rather than “infrastructure”) for more precise results

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