More Than Just Screening
Beyond AI screening, Shortlistr equips you with powerful tools to generate hiring assets, compare candidates head-to-head, and track your pipeline — all in one place.
Turn any job description and candidate CV into polished hiring content in seconds — no blank-page syndrome, no copy-pasting.
Upload multiple CVs and compare candidates side-by-side with AI analysis — instantly, without setting up a job first.
Track your hiring pipeline with data-driven insights that show where you're winning — and where to improve.
Core Capabilities
Each feature is designed to cut time, reduce bias, and give you the context to make confident hiring decisions.
Upload up to 100 CVs at once from your device or pull directly from Google Drive. Shortlistr auto-parses every PDF and DOC — experience, education, skills, and certifications extracted in seconds.
Every CV goes through keyword matching, work-experience analysis, and semantic requirements scoring in parallel. The result: a ranked shortlist with a clear, defensible fit score for each candidate.
Tenure patterns, job stability, career progression, skills diversity, and more — surfaced automatically so you spot red flags and standout candidates without reading every line.
Every candidate gets a full breakdown: strengths, gaps, and a verdict per CV section. Share it with hiring managers or use it to prep your next interview — no extra work required.
Set a minimum match threshold, define required skills, add tenure expectations, and flag priority companies. Screening adapts to the role — not the other way around.
Type a question — "Who has fintech experience and led a team?" — and get an instant answer drawn from every CV in the batch. Semantic search, no filters required.
From job description to shortlist in four simple steps
Upload your JD (PDF or DOC) or paste it directly. Shortlistr automatically extracts the job title, responsibilities, requirements, skills, and keywords.
Batch upload up to 100 CVs at once from your device or Google Drive. Each CV is parsed to extract work experience, education, certifications, skills, and projects.
Shortlistr runs a three-stage vetting process in parallel: keyword matching (1st vet), work experience analysis (2nd vet), and semantic requirements matching (3rd vet). Processing completes in ~10–15 seconds per CV.
View candidates ranked by overall score with detailed metrics and feedback. Use chat to ask questions, export results, or regenerate feedback for specific candidates.