Free ATS Resume Checker & Resume Score Analyzer

Step 1 - Upload your resume. PDF or Word (DOC/DOCX). Use a file exported directly from Word or Google Docs, not a scan or a photo.

Step 2 - Add the job description (optional but recommended). Keyword matching only means something against a specific role. Paste the posting you are targeting and the score becomes far more useful.

Step 3 - Read the report. You get your score, the sections that failed to parse, the keywords the role expects that your resume does not contain, and the formatting issues to fix.

Step 4 -Fix and re-check. Most people move up 15–25 points on the second attempt, largely by fixing formatting rather than rewriting content.

There is no universal passing mark. Different employers configure their systems differently, and most rank candidates relative to the other applicants for that specific role rather than against a fixed cut-off. Treat the score as a diagnostic that tells you what to fix, not as a pass-fail gate.

Parsing and structure - whether your name, contact details, job titles, dates, employers and education are extracted into the right fields. This is the part most candidates never think about and the part that costs them the most.

Keyword match - hard skills, tools, certifications and job titles compared against the role you are targeting. Both the acronym and the full term matter: a system searching for "Chartered Accountant" may not surface a resume that only says "CA".

Formatting - tables, text boxes, multi-column layouts, images, headers and footers, and decorative fonts. These look fine to you and break parsers.

Section headings - standard labels like Experience, Education and Skills. Creative alternatives such as "My Journey" or "What I Bring" are not recognized as section markers.

Content quality - whether your bullets carry measurable outcomes or only responsibilities, and whether your summary reads as written for a specific role.

File hygiene - file type, whether the PDF contains real text rather than an image, and whether contact details sit in the body of the page rather than only in the header.

Most mid-size and large Indian employers run some form of applicant tracking software, and the specific platform shapes what your resume needs to survive.

Enterprise and large IT services: Workday Recruiting, SAP SuccessFactors and Oracle Taleo are standard across multinationals and large Indian IT services companies.

Indian and Asia-focused enterprises: Darwinbox has a strong footprint across Indian banking, FMCG and IT, used by organisations in the 500-to-10,000-employee range.

Mid-market and SMB: Keka, Zoho Recruit, Freshteam and Zimyo are common among growing Indian companies, typically with strong resume-parsing engines built in.

Job portals: when you apply through Naukri or a company careers page, your resume enters a parsing and ranking layer before a recruiter sees it.

The practical takeaway is that the underlying rules are consistent. Every one of these systems needs to extract readable text and map it to fields. A resume that parses cleanly works across all of them; a resume built on a two-column template with a photo and a table struggles everywhere.

Start with structure, not words. Move to a single-column layout with standard headings. This alone lifts most low scores, because it fixes parsing rather than content.

Mirror the job posting's vocabulary. Use the employer's exact terms for skills and certifications, including both the short and long form on first mention.

Name every tool and technology explicitly. If you have used it and it is relevant, it should appear as a word on the page.

Quantify your bullets. Numbers help you with the human reader, who is the one who actually decides. "Reduced processing time by 30%" beats "responsible for process improvement" with both audiences.

Keep one base resume and tailor per application. Adjust the summary and skills section for each role rather than rewriting from scratch.

Re-check before you apply. A two-minute re-scan catches the change that broke your formatting.

If you are applying for your first role, the ATS is reading a shorter document with fewer signals, which makes structure matter more. Keep to one page. Put education above experience. Name your technical skills, coursework and certifications explicitly rather than assuming they are implied by your degree. List internships and academic projects under clearly labelled headings with dates, because a parser treats an unlabeled project block as unstructured text. Avoid the heavily designed templates that circulate in college WhatsApp groups - they are usually two-column layouts with graphics, which is the worst possible combination for parsing.

With more than five years of experience, the risk shifts from having too little content to having too much of the wrong kind. Two pages is acceptable. Lead with a summary that names your function and level in the same words a recruiter would search for. Keep your last three roles detailed and compress everything older into a short list. Make sure job titles are the standard industry version rather than an internal designation - an internal title like "Growth Lead II" may not match anything a recruiter searches for, so pair it with the recognized equivalent.

Usually not - and it is worth being precise about this, because the fear is widely overstated. Applicant tracking systems mostly parse, store and rank applications; they rarely delete one on their own. The frequently repeated claim that ATS software automatically rejects 75% of resumes traces back to a resume-tools vendor that closed in 2013 and never published any research behind the figure.

What actually happens is quieter and just as costly. A resume that parses badly ranks low, and a recruiter working through several hundred applications never scrolls far enough to reach it. Automatic rejection is real only where an employer has deliberately set a knockout rule - a mandatory certification, a work location, a legal eligibility requirement.

So the goal is not to trick a filter. It is to make sure that when a recruiter searches their database for someone with your exact experience, your resume is readable enough to appear.