Engineered for ATS Transparency

Explore the deterministic features designed to audit alignment indexes, structure PDF files correctly, and bypass strict algorithmic resume filters.

1. Multi-Level Taxonomic Matching

Instead of looking for exact strings only, our backend uses a relational taxonomy database to resolve capabilities on three separate weights:

Level 1 - 100% Value

Exact Match

Verifies directly matched spelling arrays (e.g. "Docker" in JD matches "Docker" in your resume parsed skills list).

Level 2 - 100% Value

Alias Synonym Match

Verifies matching terms from our synonym dictionary (e.g. target "MS Excel" matches candidate "Excel" or "Spreadsheets" dynamically).

Level 3 - 50% Value

Category Match

Verifies context similarity. If you lack "Svelte" but have "React", the engine recognizes both are in "Software Engineering" and grants partial category matching score values.

Job Title synonym checking

Parses the experiences block of your resume, mapping previous roles against candidate databases to notify you if your title history aligns with recruiters' search parameters.

Structural Formatting Audits

Deterministic inspections checking document length, the presence of standard heading blocks (Experience, Education, Skills), and clean contact indicators.

Downloadable PDF Scorecards

Download clean, beautifully structured PDF scorecard reports via `pdf-lib` detailing specific missing terms and steps to edit.

Resume Version Control

Keeps a history of all uploaded resume document versions. Optimize your draft, upload a new version, and re-scan instantly to track score improvements.

Ready to explore these features first-hand?

Create a free account to upload your resume, paste any job description, and watch our deterministic engine analyze your alignment metrics.