Stop reading resumes.
Start ranking talent.
Smart Hire AI reads every resume against your role, scores it on a custom rubric, and surfaces the candidates worth your hour-long interview. Evidence-first shortlists, in minutes.
Parses 100+ resume formats. Works with PDFs, scans, even WhatsApp screenshots.
Senior AI Engineer
Ranked applicants
Quratulain
Top pick6 yrs · LangChain · RAG systems · Karachi
Hamza Abbas
4 yrs · LLM fine-tuning · Vector DBs · Lahore
Sara Anwar
5 yrs · MLOps · GenAI deployment · Islamabad
Junaid Akbar
3 yrs · Transformers · NLP · Karachi
How it works
From inbox to shortlist, in 4 steps
Drop in a stack of resumes (or let AI source them). Smart Hire AI does the heavy lifting — you just pick who to interview.
Upload or auto-source
Drag in PDFs, paste from emails, or let Smart Hire AI pull candidates from your campaigns automatically.
AI parses every resume
Skills, experience, education, certifications — extracted as structured data, even from messy or scanned files.
Scored against your rubric
Custom criteria you define once. The AI scores each candidate with evidence — quotes from their resume backing every score.
Ranked shortlist
Top candidates surface first with full context. You see who's worth interviewing — and why — without reading 200 PDFs.
What makes it intelligent
More than keyword matching
The kind of resume reading you'd do if you had unlimited time — semantic understanding, contextual scoring, and honest signal-vs-noise filtering.
Semantic understanding
Understands 'led 5-person team' = 'managed engineers'. Context-aware matching, not surface-level keyword search.
Custom rubric scoring
Score on what matters to YOUR role: years in production, specific tech stack, leadership scope, location flexibility.
Evidence-backed scores
Every score links to the exact resume snippet that justifies it. No black-box decisions — full transparency.
100+ formats supported
PDFs, Word docs, scanned images, LinkedIn exports, even WhatsApp screenshots. We extract what's there.
Multilingual parsing
English, Urdu, Hindi, Punjabi, Roman Urdu. Resumes in any of these get parsed correctly out of the box.
Fraud-aware
Auto-detect inflated experience, AI-generated content, and inconsistent timelines. Cleaner shortlists, fewer surprises.
One source of truth
Plays well with your existing stack
Smart Hire AI isn't a walled garden. Pipe candidates in from anywhere, push results out to your ATS, sync interview notes back automatically.
- Drop in resumes from email, drive, or your existing applicant DB
- Push shortlists to Greenhouse, Lever, or any ATS via webhook
- Sync interview transcripts and scores back into candidate records
- Bulk-import 1000+ resumes in a single upload
Database
Synced
Email inbox
Active
ATS export
Connected
Webhooks
3 active
Latest activity
Common questions
What teams ask before they switch
Native PDFs, scanned PDFs (with OCR), Word docs, plain text exports, LinkedIn 'Save as PDF' files, even WhatsApp screenshots. If it's a resume, we can probably parse it.
Every score includes the resume snippet that justified it — so you can verify on the spot. Across our pilot teams, recruiter-vs-AI agreement on 'is this candidate a fit' was 92%, with the AI surfacing strong candidates the human had skipped about 11% of the time.
Yes. Multilingual parsing covers English, Urdu, Hindi, Punjabi, and Roman Urdu out of the box. Mixed-language resumes work too.
In plain language. Type 'must have 3+ years in production ML' or 'prefer fintech background' — the AI translates that into scoring criteria. No code, no formulas.
Webhooks out of the box (Zapier, Make, custom). Native integrations with Greenhouse and Lever. We're adding more — tell us what you use.
Resumes are stored encrypted. Candidates can request deletion. We never train models on your data. SOC 2 in progress; happy to share our security overview.
Stop reading resumes
From 100 PDFs to your top 5 — in minutes.
Drop a stack of resumes into Smart Hire AI and watch them rank themselves. No setup. No training data needed.