About ScorAxis

Most job applications in India are filtered by an applicant tracking system before any recruiter reads them. These systems scan for keyword matches, check that standard sections exist, and test whether your PDF can be parsed cleanly. A resume that looks polished to a human can score zero with an ATS if the formatting is wrong, the sections are named unusually, or the contact block is buried in a table.

The candidates who know this tend to be those who can afford career coaches or have connections inside a company. Everyone else submits their best effort and wonders why they never hear back. That information gap is what ScorAxis is built to close.

ScorAxis runs the same checks an ATS would run and shows you exactly what is holding your resume back — specific issues, specific fixes, no vague advice. The same feedback a paid career coach would give, available to any job seeker for free.

Upload a PDF resume and you get a 0–100 ATS compatibility score in roughly fifteen seconds. The score combines a deterministic rubric (0–70) that runs the same fixed checks every time, and an AI-driven quality layer (0–30) that evaluates the writing itself. Together they tell you both whether your resume can be read by an ATS and whether it is compelling enough to act on.

Issues come back with specific titles and plain-English explanations, not a generic tip sheet. You can upload multiple versions of your resume and watch the score move as you fix each issue — which makes it straightforward to verify that a change actually helped rather than guessing.

The deterministic half runs six checks against a structured parse of your resume: contact information present (name, email, phone), standard sections included (experience, education, skills), word count within the 350–900 range ATS systems prefer, bullet points used consistently across experience entries, dates in a consistent format, and a layout density that indicates the PDF will parse cleanly rather than come back as a wall of unstructured text.

The AI half asks Claude Sonnet to evaluate five dimensions that a deterministic rule cannot reliably catch: whether experience bullets start with strong action verbs, whether achievements are quantified rather than described in vague terms, whether the resume contains enough keywords for the target role, whether tense is consistent, and whether buzzwords are overused at the expense of substance.

The full methodology — weights, issue codes, and the reasoning behind each check — is on the methodology page.

Your resume PDF is uploaded directly from your browser to an encrypted S3 bucket in AWS ap-south-1 (Mumbai) via a presigned URL that expires in five minutes. The parsed JSON is stored in a private RDS Postgres database in the same region. Neither your PDF nor your parsed data is exposed to third parties.

We don't sell your data. We don't share it. We don't train models on it.

ScorAxis is compliant with India's Digital Personal Data Protection Act 2023. You can request a copy of your data or have it deleted at any time by emailing aakashdas276@gmail.com. Full details are in our privacy policy.

ScorAxis is an indie product built and hosted entirely in India. Infrastructure runs on AWS Mumbai (ap-south-1). Pricing is in INR. The scoring rubric is tuned for the Indian job market — the keyword density checks, section expectations, and length guidance reflect the resume conventions that Indian ATS deployments actually use.

It is a solo-founder product, which means no VC pressure to harvest data, no growth team A/B-testing dark patterns, and a direct line to someone who will actually read your support email. If you have a question, a complaint, or a suggestion, write to aakashdas276@gmail.com.