AI Resume / CV Optimizer

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Paste your CV and a job description to get instant AI-powered feedback. Scores keyword alignment, identifies skill gaps, highlights structural issues, and returns ready-to-use rewrite suggestions. Supports GPT-4o-mini and GPT-4o via your OpenAI API key.

What it does

This actor takes a CV / resume and a job description, then uses an LLM to produce a structured analysis:

• Match score (0–100) — Overall fit based on keyword and skills alignment
• Verdict — One-sentence screening assessment
• Strengths — What the CV already does well for this role
• Skill gaps — Required skills or keywords missing from the CV
• Structure feedback — Layout, formatting, and presentation notes
• Action items — Prioritized list of improvements to make
• Rewrite suggestions — Ready-to-use text for weak or missing sections

Input

Output

Each run produces a single dataset record:

{
"matchScore":72,
"verdict":"Strong candidate — TypeScript and Node.js match well but cloud platform experience is missing.",
"strengths":[
"TypeScript and Node.js listed in skills match required stack",
"5+ years of experience meets the seniority requirement",
"Docker experience aligns with containerization nice-to-have"
],
"skillGaps":[
"No mention of AWS, GCP, or Azure — cloud platform required",
"CI/CD pipeline experience not demonstrated with specific tools",
"NoSQL database experience not listed"
],
"structureFeedback":[
"Add a concise professional summary at the top",
"Quantify achievements — replace 'improved performance' with specific metrics"
],
"actionItems":[
"Add a cloud platform certification or project to address the AWS/GCP gap",
"List CI/CD tools (GitHub Actions, Jenkins) in the skills section",
"Add MongoDB or Redis to database skills"
],
"rewriteSuggestions":[
"Skills: 'PostgreSQL, Redis' → expand to 'PostgreSQL (primary), Redis (caching), MongoDB (exploratory)'"
],
"model":"gpt-4o-mini",
"analyzedAt":"2026-05-27T10:00:00.000Z"
}

API key

This actor requires your own OpenAI API key. GPT-4o-mini costs approximately $0.15 per million input tokens — a typical CV + JD analysis uses under 2,000 tokens, making each run a fraction of a cent.

Get an API key at platform.openai.com/api-keys.

Notes

• CV text can be plain text, Markdown, or copy-pasted from a PDF
• The actor runs a single LLM call per run — no storage or external requests beyond OpenAI
• Results vary slightly between runs due to model temperature (set to 0.3 for consistency)