## 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](/hiring/candidates) list and [Talent Pool](/hiring/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