AI-Driven Recruitment

From resume to offer — in days, not weeks.

Resume parser auto-fills profiles with 92% accuracy on Indian CVs. AI scores fit against the JD so you interview the right 3 of 47. Offer letters in minutes, signed in clicks — and the new hire lands straight into onboarding.

Available on
Starter · Lite ATS Growth · Full ATS + AI parser + AI Pack for matching Enterprise · all included
92% parser accuracy
Indian CV format · 8 fields
AI fit scoring
vs JD · Growth + AI Pack
Interview scheduling
Google + Outlook
Offer letters
All 6 worker types
Hire → Onboarding
One-click handoff
01 · Post the role

One job posting. Every channel that matters.

Write the JD once. Push to LinkedIn, Naukri, Indeed, and your careers page in two clicks. Every candidate flows back into the same pipeline — no copy-paste between platforms, no lost resumes in someone's inbox.

The careers page is hosted at jobs.hrplanr.com/yourcompany — clean, your branding, mobile-fast, no extra subscription.

  • Multi-channel posting — LinkedIn, Naukri, Indeed, careers page
  • Hosted careers page — your brand, our infrastructure
  • JD templates — for the 30 most common Indian tech & non-tech roles
  • Approval workflow — JD review before it goes live (Growth+)
Backend Engineer · Live on 4 channels
Posted 12 May
in
LinkedIn18 applies · Premium boost · 4.2k impressions
Live
N
Naukri.com22 applies · Hot listing · 6.8k views
Live
i
Indeed4 applies · Standard listing
Live
H
jobs.hrplanr.com/yourcompany3 applies · Own careers page
Live
02 · Resumes arrive

AI parses every resume. Candidate profiles, pre-filled.

Upload a resume — PDF, Word, scanned, whatever — and the parser extracts name, contact, work history, education, skills, and current location. 92% accuracy on Indian-format CVs across 8 standard fields.

You confirm what the parser pulled, fix the 8% it got wrong, and the candidate profile is created. From here, every recruiter, hiring manager, and approver works off the same record.

  • PDF, DOCX, scanned — handles all common resume formats
  • 8 fields — name, contact, experience, education, skills, location, expected CTC, notice
  • 92% accuracy — internal benchmark on Indian-format CVs
  • Always verifiable — review the parsed profile before saving
Ananya_Sharma_Resume.pdf
Parsed in 2.4s
PDF · 2 pages Source document
Ananya Sharma, ananya.s@email.com
+91 98XXX 12345 · Bengaluru, KA
5 years experience · Node.js, React, AWS
Name
Ananya Sharma 99%
Contact
+91 98XXX 12345 98%
Experience
5 yrs · Node.js, AWS 94%
Location
Bengaluru, KA 96%
CTC (current)
₹22L · expects ₹28-32L 87%
03 · The AI moment

AI scores fit. You decide who to interview.

For every candidate, AI compares the resume against the JD across skills, experience years, role title progression, and education. The output: a single fit score and the three reasons it chose that score. You see Ananya scored 92% because of Node.js + AWS + 5 years at a similar-stage startup. You decide if that matches what you're hiring for.

Honest disclosure: Advanced AI matching is part of the Premium AI Pack on Growth (~₹40/employee/month) or included on Enterprise. The basic resume parser is included on Growth without the pack.
See all AI capabilities →
Top 5 candidates · ranked by AI fit

Backend Engineer · Bengaluru · scored against JD

47 total
scored in 8.2s
MS
Meera Singh6 yrs · Node + AWS · Lead at TechCo
94%
AS
Ananya Sharma5 yrs · Node + AWS · Sr Engineer
92%
KP
Karthik P.5 yrs · Node + Python · IIT Madras
91%
RK
Rahul K.4 yrs · Java → Node transition
85%
VR
Vikram R.3 yrs · Python · ML background
61%
04 · Interview & coordinate

Interviews that schedule themselves.

Once you shortlist, candidates pick their own slot from your team's available Google or Outlook calendars. No five-email-thread back-and-forth. Interviewer panels auto-assigned by role, with conflict detection across timezones if your team is remote.

Feedback collected in-app right after the interview — structured scorecard, free-text notes, hire/no-hire vote. The candidate moves through the pipeline on the team's decision, not on whose turn it is to chase.

  • Self-scheduling — candidate picks from interviewer's available slots
  • Google + Outlook — calendars synced both ways
  • Structured feedback — scorecards customisable per role
  • Panel assignment — auto-balanced across interviewers and timezones
This week · 5 interviews scheduled
Auto-assigned
28
May
Meera Singh · Round 2Technical · Priya M. + Rahul S.
10:30 AM60 min
28
May
Ananya Sharma · Round 1Hiring manager · Ravi S.
02:00 PM45 min
29
May
Karthik P. · Round 2Technical · Priya M. + Sneha M.
11:00 AM60 min
30
May
Meera Singh · FinalVP + Cultural fit · 3 panelists
03:00 PM45 min
05 · Offer & sign

Offer letters in minutes. Signed in clicks.

Pick a template (Permanent, Intern, Contract, Part-Time), fill in salary breakdown, joining date, and reporting manager — the rest is pre-populated from the candidate profile and your company defaults. The full salary breakup, statutory deductions, and net-in-hand projection generate automatically.

The candidate gets a branded offer email, e-signs in their browser, and you get notified. Background verification kicks off in parallel — for Growth+ customers, integrated with AuthBridge.

  • Template per worker type — Permanent, Intern, Contract, Part-Time
  • Salary breakup auto-generated — gross, PF, ESI, TDS, net-in-hand
  • E-signature in browser — no DocuSign subscription needed
  • BGV via AuthBridge — runs in parallel Coming Q3 2026
Offer · Meera Singh
Sent 31 May
Senior Backend Engineer Permanent · Bengaluru · Joining 16 Jun
E-signed
Gross CTC
₹28,00,000 / yr
Net (monthly)
₹1,82,000
PF
₹1,800 / mo
TDS
₹38,000 / mo
Reports to
R. Subramanian
View signed PDF
Start onboarding →
06 · Handoff

Hired → Day 1 ready, automatically.

The moment the offer is signed, the candidate becomes an employee record. Onboarding workflows kick off automatically — Aadhaar collection, Form 12BB, equipment provisioning, system access requests, manager intro, Day-1 calendar.

No "let me create a fresh record in HR" step. No double data entry. The hire flows from Recruitment into HR into Onboarding into Payroll — all reading from the same record.

  • Auto-converted — offer accepted → employee record created
  • Onboarding triggered — document checklist, IT provisioning, Day-1 ready
  • Manager handover — intro email, calendar invites, Slack/Teams added
  • Payroll-ready — salary structure, bank details, PF/UAN ready before first cycle
Meera Singh · Day-1 readiness
Joining 16 Jun
HR record createdWorker type: Permanent · EMP-0248
Done
Onboarding journey assignedEngineering · Bengaluru · 14 tasks
Done
Document collectionAadhaar, PAN, address proof · 2 of 6 received
In progress
IT provisioningLaptop · email · Slack · GitHub access
Queued

Recruitment doesn't end at offer accept.

The hire flows straight into HR (employee record), Onboarding (Day-1 checklist), and Payroll (first cycle ready) — without any handoff steps. The candidate becomes the employee.

Hire your next backend engineer with hrPLANR.

30-minute walkthrough of the ATS, the AI scoring, and the offer flow — with your actual JDs.