75% of resumes are filtered by ATS software before a human sees them. Paste yours and find the keywords, formatting, and red flags getting you rejected — in 60 seconds.
ATS software (Workday, Greenhouse, Naukri's own filters) scans for keywords, structure, and quantification before a recruiter ever sees your CV. Most get rejected for fixable reasons.
Your score is the average across 15 independent ATS checks. Each scores 10 / 6 / 0 for pass / warning / critical, normalised to a percentage. No black box — here's exactly what we measure and why.
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Your resume has been analysed against 15 ATS criteria.
Calibrated by 400+ verified Indian HRs · the same people who'll fix your resume when you book — not an algorithm.
Generic ATS advice gets you past filters. These get you on the call list. Identified by 400+ Indian HRs after reviewing 12,847 resumes — written specifically for your role.
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Real Indian HRs walk through how they scan a resume — what gets read, what gets skipped, what gets flagged.
My ATS score was 41%. After the resume review, my callback rate jumped from 2 in 60 to 9 in 60 applications. Same companies, same role.
The tool flagged "responsible for" 6 times in my CV. The HR rewrote those into outcome lines with numbers. Got 3 interviews in the next 2 weeks.
I was missing 9 of the top 12 keywords for SDE roles. The brand-new resume they sent me back had every one of them — naturally placed, not stuffed. Got into the Naukri-screened pile within a week.
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This is a free ATS (Applicant Tracking System) resume checker built specifically for the Indian job market. You upload your resume as a PDF or DOCX file, and the tool runs 11 checks in your browser to score how well it will pass through the parsing software that Naukri, Workday, Taleo, iCIMS, Greenhouse, and most Indian corporate HR teams use to filter candidates before a human ever reads the resume.
The score is on a 0–100 scale. The resume is parsed locally using PDF.js (for PDFs) and Mammoth.js (for DOCX) — meaning your file never leaves your device. Nothing is uploaded to a server. We do not store, share, or even see your resume content.
95% of Indian recruiters use some form of ATS to handle inbound applications. The system parses your resume into structured fields (name, email, education, experience, skills) and indexes them so a recruiter can search across hundreds or thousands of resumes by keyword. If your resume can't be parsed cleanly, you do not get rejected by a person — you get filtered out by code, and you never get a response.
This is the silent killer behind "I applied to 200 jobs and got 3 responses." It is rarely about your actual qualifications. It is about whether the machine can read what you wrote.
The score is calibrated against the parsing logic of the six most common ATS in India. Here is what each band tells you:
An ATS resume score measures how well your resume passes through Applicant Tracking Systems (the software 95% of Indian recruiters use to filter resumes before a human reads them). The FindHR ATS checker scores out of 100 based on 11 criteria: keyword match, formatting, file type, contact info parseability, section headers, action verbs, quantified achievements, length, font readability, image content, and ATS-incompatible elements.
Yes. 100% free. No signup, no email gate, no credit card. The resume is parsed in your browser using PDF.js and Mammoth.js — your file never leaves your device. We make money from paid HR consultations (₹199 Resume Review, ₹299 Mock Interview), but the checker itself is permanently free.
Most common reasons: too much design (graphics, tables, columns confuse the parser), missing keywords from the job description, photos or graphic headers, saved as scanned PDF instead of text PDF, creative section headers like "Where I've Been" instead of standard "Work Experience", and no quantified results.
For Indian recruiters: text-based PDF is safest. Most modern ATS (Naukri, Taleo, Workday, iCIMS) parse PDFs cleanly. DOCX works too but formatting can shift between Word versions. Avoid image-based PDFs (scanned), Canva/Figma exports with text-as-shape, and Pages/Keynote files.
Five fixes that move the score most: (1) use standard section headers — "Work Experience", "Education", "Skills"; (2) match 60–70% of keywords from the target job description; (3) quantify results — "₹2 crore revenue", "40% faster", "15-member team"; (4) remove all images, icons, and coloured design; (5) keep to one column. After fixing these basics, book a ₹199 Resume Review for an HR to do a line-by-line edit.
Most common: Naukri RMS (SMEs and mid-market), Workday (Infosys, TCS, Wipro), Taleo (older enterprises), iCIMS (US-headquartered MNCs), Greenhouse and Lever (startups, SaaS, ed-tech). The FindHR scorer is calibrated against all six.
80+ means you will pass most ATS filters and reach a human recruiter. 60–79 means you will pass some but not all. Below 60 means you are likely being auto-rejected before any human sees the resume. Most candidates who get a ₹199 Resume Review move from a 55–65 starting score to 85+ after revision.