For Job Seekers in India 🇮🇳
Most Indian resumes — even strong ones — fail ATS parsing because of layout choices that look great in Word but break automated readers. See exactly what the parser extracts from your file — free, in under 30 seconds.
India's scale is the problem. A single Infosys job posting in Bangalore can receive 8,000–15,000 applications in a week. Even Naukri.com's built-in search results often surface only the top 200–300 of a search. No human reads anything close to that volume — everything goes through ATS keyword filtering first, and only the top-ranked candidates are surfaced to recruiters.
The dominant parsers in India are Workday (used by most large MNCs operating in India — Goldman, Microsoft, Amazon India, Google India, Walmart Global Tech), SAP SuccessFactors (Reliance, Tata, Mahindra, ITC, HUL), Oracle Taleo (banks and PSU-adjacent), and Greenhouse (Razorpay, CRED, Zerodha, Postman, Freshworks, BYJU'S).
Industry estimates suggest 70–80% of resumes are filtered out before any recruiter reviews them. For a Bangalore SDE-1 posting at a top-tier product company, that filter rate can hit 95%. Most of those rejections have nothing to do with qualifications — they're structural parsing failures the candidate never finds out about.
The 'objective statement' is still standard on many Indian resume templates — '...seeking a challenging role that leverages my skills...'. Modern ATSes don't penalise objectives, but they also don't reward them. Recruiters scan the top of your resume in 5 seconds; an objective is empty real estate. Replace with a 2-3 line Professional Summary that includes 5-8 keyword-rich phrases.
Indian IT candidates often write 'Worked on a Java project using Spring Boot, MySQL, AWS...' inside their bullets but never list these technologies in a dedicated Skills section. Workday's keyword matcher weights skills sections more than experience bullets. Always have a clearly labelled 'Technical Skills' section with comma-separated technologies — this is what TCS/Infosys/Wipro filter on.
Naukri's free templates and Canva's 'modern professional' designs use two-column layouts with sidebars. Workday and Taleo read left-to-right by row, scrambling your work history. Your job titles get pasted next to skills from a different section. Single-column only.
If you're an IIT, IIM, NIT, BITS, ISB, IIIT, or top-tier engineering graduate, that's a powerful keyword signal — but only if the parser sees it. List your institution name in a clear Education section header, not inside a graphic or icon-based design element. Some templates put 'IIT Bombay' inside a styled box that the parser ignores entirely.
Indian CVs often use formats like '2020-22' or 'Jan'20 - Mar'22'. ATS parsers struggle with these and may compute wrong years of experience — which is often a hard filter applied before any human reviews you. Use full unambiguous formats: 'January 2020 – March 2022'. The extra characters cost you nothing; the parsing improvement is significant.
Prices shown in INR at today's mid-market rate. Payment processed in USD via Stripe (Visa, Mastercard, Apple Pay) — your card issuer handles the conversion at standard FX rates. Local INR payment support (UPI, Razorpay) is on our roadmap.
| Tier | Price (INR) | Billed in USD |
|---|---|---|
| Free Scan | Free | $0 |
| Verbatim Rebuild | ~INR 415 | $5 |
| Enhanced (AI bullets) | ~INR 750 | $9 |
| Bundle + JD-Match | ~INR 1,165 | $14 |
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