Paste your resume and any job description. FitScore analyzes keyword alignment, reveals missing skills, and suggests improvements — instantly, in your browser.
How it works
Drop in your resume text and the job description you're applying for.
The scoring engine runs in your browser — no server, no API, no waiting.
See missing keywords, matched skills, and improved bullet suggestions.
How the score is calculated
Term extraction
Both texts are tokenized into single words and two-word phrases (bigrams). Stopwords are removed. Tech synonyms are normalized ("nodejs" → "node.js").
Section weighting
Terms found near "Required", "Must have", or experience requirements score 2× higher than terms in "Nice to have" or company description sections.
Match scoring
Each JD term gets a weighted importance score. Your resume is checked for each term. Final score = matched weight ÷ total JD weight, calibrated to feel honest.
Improvement suggestions
Bullet points from your resume are matched to missing JD terms by context proximity. Rule-based rewriting strengthens weak verbs and surfaces missing keywords.
What you get
Weighted keyword match calibrated to feel honest — not a flattering overcount.
Critical vs Important vs Nice-to-have — so you know what to add first.
Rule-based rewrites that add missing keywords and strengthen weak verbs.
No API key, no server, no account. Runs entirely in your browser.
Your next application could be your best one.