From job description to matched candidates, instantly.
Paste your JD. Zavnia's AI extracts must-haves, nice-to-haves, and deal-breakers, then matches them against profiles to surface the best fits automatically.
AI matching vs. manual resume scanning
Why teams use JD-to-candidate matching instead of eyeballing resumes.
- •Read each resume manually against JD requirements
- •Subjective filtering misses qualified candidates
- •Hours spent on initial screening per role
- •No consistent evaluation criteria across reviewers
- •Good candidates lost in the pile
- AI extracts JD requirements automatically
- Every profile scored against extracted criteria
- Matched candidates surfaced in minutes, not hours
- Consistent, explainable scoring for every match
- Top candidates prioritized by evidence of fit
Works for every hiring scenario
JD-to-candidate matching that adapts to your roles.
Paste a draft JD and instantly see which candidates in your pipeline match before you even post the job.
When 200 resumes land for one role, AI matching cuts through the noise in minutes instead of days.
Share match results with hiring managers so everyone sees the same evidence and scores. No more 'I think this person looks good.'
Frequently Asked Questions
Common questions about JD to candidate matching
Explore more
See how Zavnia helps with related hiring needs.
Ready to match candidates by evidence, not instinct?
Try JD-to-candidate matching free. Start with a workflow audit to see how much time you'll save.