Resume Parsing
Drop a PDF, .txt, or paste text — get structured profile data in seconds.
Resumes come in many formats. Our AI parser turns a PDF, plain-text file, or pasted resume text into structured profile data — name, title, experience, skills, certifications, clearance — in one step.
What you get
Built to solve the actual problems hiring teams hit every day.
PDF + .txt + paste support
Upload a PDF, a plain-text file (.txt / .md), or paste raw resume text — all three paths extract into the same structured fields.
Structured output
Personal info, experience, skills, certifications, clearance, agency familiarity — all auto-populated into the candidate's profile.
Auto-create skills
New skills detected on parse are added to the master skill list and tagged to the candidate.
Bulk CSV import
Import up to 500 candidate records per CSV (audited), then run the parser on individual resumes.
How it works
Four steps from setup to value.
Open the parser
Profile → Upload Resume, or open any candidate detail page.
Drop or paste
Drag-and-drop a PDF or .txt file onto the dropzone, or paste raw resume text into the textarea.
AI extracts
In ~3 seconds, structured fields are populated and a parsing summary is shown.
Review and accept
Inline edit anything that's wrong before saving to the profile.
FAQ
Quick answers to common questions.
What file formats work?
PDF upload or pasted resume text. PDF support uses native AI document understanding (no separate OCR step).
Will it overwrite existing profile data?
No — fields are filled only if currently empty, and you preview the merge before accepting.
Explore other features
Public Careers Page
Branded job board, custom application forms, knockout questions — free on every plan.
AI Talent Matching
Semantic candidate scoring against any role — with reasoning you can audit.
Hiring Pipeline
Kanban-style visibility from open to filled — with bulk actions, scorecards, and interviews.