ScorAxis

ScorAxis scores a resume against ATS compatibility criteria without requiring a job description upload — the workflow is upload a text-based PDF, wait 15 seconds, receive a 0–100 score with plain-English explanations of the top issues. The score combines six deterministic checks (contact info, section presence, word count, bullet structure, date consistency, layout) with five AI dimensions (action verbs, quantified impact, keyword density, tense consistency, buzzword overuse). Both the checks and their weights are documented on the vendor’s methodology page, which is uncommon in this category.

The differentiating design decision is the deterministic/AI split. The deterministic rubric is frozen at v1 for reproducibility, so structural issues — missing sections, broken date formats, layout problems — return a consistent result across every run. The AI half carries a ±3 point variance across calls, which the vendor discloses explicitly. That transparency is the real differentiator: you know which part of your score is stable and which part reflects model variance.

The tool fits a job seeker doing one-off checks before submitting applications — the free tier handles that use case without a credit card. It breaks for anyone running volume comparisons: five total free scans across the account is a hard cap, the Pro tier is waitlisted rather than self-serve, and there is no API to automate scoring. Scanned PDFs are rejected at upload; text-based exports from LinkedIn, Word, Google Docs, Naukri, and Pages are confirmed to work. Resume files are stored encrypted on AWS in the ap-south-1 region and are deletable on request, which the vendor documents on a dedicated privacy page.