AI resume parsing for every
recruitment workflow

Agency recruiters juggle dozens of open roles across multiple clients. Every role brings a flood of resumes that need to be parsed, scored, and ranked — fast. Manual screening doesn't scale when you're filling 30 positions simultaneously.

• Bulk upload hundreds of CVs per batch across multiple job roles
• Auto-rank candidates with fit scores tailored to each client's requirements
• Deliver structured candidate dossiers that make your agency look world-class
• 30-day auto-delete and encryption means client confidentiality is built in

Agencies using AI parsing report up to 80% reduction in screening time per role, letting them take on more clients without adding headcount.

When five hiring managers are screening resumes differently, candidate quality becomes inconsistent. In-house teams need standardized evaluation — the same scoring criteria applied to every applicant, for every role, every time.

• Define role-specific requirements and score all candidates against the same criteria
• Eliminate inconsistency between hiring managers with standardized fit scores
• Surface skill gaps and red flags automatically — no detail gets missed
• GDPR-compliant by design with full DPA support and EU-hosted infrastructure

In-house teams see faster time-to-hire and more consistent candidate quality when every applicant is evaluated against explicit, standardized criteria.

You don't have a recruitment department. You might not even have an ATS. But you're growing, roles are open, and resumes are piling up in a shared inbox. You need to screen candidates without building a hiring infrastructure from scratch.

• Start free with 10 parses per month — no credit card required
• Get structured candidate data without an ATS or enterprise tools
• Score candidates against your specific job requirements, not generic benchmarks
• Scale to Pro ($10/mo) or Ultra ($69.99/mo) as hiring volume increases

Startups go from 'reviewing resumes in Gmail' to 'ranked shortlists with fit scores' in under five minutes of setup.

Job boards collect resumes but rarely understand them. Adding AI parsing transforms raw uploads into structured profiles with skills, experience, and scoring — making your marketplace more valuable to both candidates and employers.

• Auto-parse every uploaded resume into a structured, searchable profile
• Enable employer-side candidate search with normalized skill matching
• Surface match quality between candidates and posted jobs automatically
• Integrate via API with fast, parallel parsing

Job boards with structured candidate data see higher employer engagement and better match rates, directly driving platform revenue.

If you're building an ATS, HCM platform, or recruitment tool, resume parsing is probably on your roadmap. Building it from scratch means training NLP models, handling dozens of document formats, and maintaining accuracy at scale. Or you can integrate in a day.

• RESTful API with single-parse and bulk endpoints
• Full response schema with skills, experience, education, scoring, and recommendations
• Proprietary normalized skills taxonomy included — no post-processing needed
• 30-day auto-delete means no compliance burden from lingering candidate data

HR tech platforms ship resume parsing features in days instead of months, with accuracy and compliance handled by the API.