Local PDF extraction
The app reads uploaded PDFs directly in the browser so text can be extracted before any future scoring workflow runs.
Features
The product is built around useful content, not just a single interaction.
AI Resume Scorer combines a focused hero, internal navigation, supporting pages, and crawlable metadata so the site can rank for the product it describes.
Structured scoring journey
The page is organized around a visible upload, analysis, and result flow that is easy to scan and easy to index.
Job description context
Visitors can paste a job description so the scoring experience reflects real hiring expectations instead of a generic summary.
Trust-building copy
Supporting sections explain what is happening, why it matters, and how the site handles data.
What makes it SEO-friendly
The feature page reads like product documentation, not marketing filler.
Each section uses a clear heading, concrete language, and distinct semantics so crawlers can understand the page topic quickly.
The page also links back to the primary workflow, which helps build internal relevance across the site instead of leaving the home page isolated.