Free AI Resume & CV Grader
Paste a resume or CV and the job description. Get an alignment score, the resume evidence behind it, missing requirements and focused questions to verify in the interview.
Free. No sign-up. Built for recruiters.
Last updated: October 4, 2026
Grade a resume
Required fields are marked with an asterisk.
How to use the AI Resume Grader
Enter the target job title and, if useful, the seniority level.
Paste the complete job description, including responsibilities and requirements.
Paste the candidate's resume or CV as plain text.
Review the score, evidence quality, strengths, risks and requirement analysis.
Use unresolved areas and interview focus points to plan a structured interview.
What is an AI resume grader?
An AI resume grader compares documented resume evidence with the requirements of a specific role. Unlike a generic resume score, this tool uses the job description you supply to identify skills, experience, impact and role-alignment signals. It then shows which part of the resume supports each conclusion.
Score against the actual job, not only the title. The same title can describe very different work across companies. A complete job description gives the grader the responsibilities, required experience, preferred qualifications and seniority signals it needs for a useful comparison.
The grader is a review aid. It does not measure candidate quality, potential or personal suitability, and the output explains the score instead of returning an unsupported pass or fail.
- Overall alignment score with a suggested next step for human review
- Evidence quality rating and four category scores
- Documented strengths and risks, each tied to resume evidence
- Requirement-by-requirement analysis marked required or preferred
- Missing requirements, limitations and interview focus areas
Example output
Overall alignment: 78/100 · Advance for human review
Documented strengths: role-relevant skills and experience, with the exact resume evidence for each point.
Gaps and uncertainty: missing or partial requirements, evidence quality, limitations and questions to verify next.How to read the requirement analysis
Start with evidence quality and limitations before looking at the total. Then read each requirement and its status.
| Result | What it means | What to do next |
|---|---|---|
| Demonstrated | The resume shows clear evidence for the requirement | Confirm depth and recency in the interview |
| Partial | Some related evidence, but not the full scope the role needs | Ask for a specific example at the level required |
| Unclear | The wording could support the requirement, but the evidence is vague | Ask a neutral clarifying question |
| Not found | The resume does not document the requirement | Treat as undocumented, not as proof the skill is missing |
| Required vs. preferred | Priority taken from the job description | Weigh gaps in required items more heavily |
| Evidence quality | How specific and verifiable the resume content is overall | Read low-evidence scores with extra caution |
"Not found" means the supplied resume did not document the requirement. It does not prove the candidate lacks that experience.
Resume grading examples for recruiters
Sample situations showing how to read the grade and decide the next step.
Product marketing manager, London
Score in the high range. Launch planning and positioning are demonstrated with named campaigns. Pricing research is unclear. Next step: advance, and ask one question about how the candidate has supported pricing decisions.
Backend engineer, Bengaluru
Python and API design are demonstrated. Kubernetes is listed as a skill with no project evidence, so it shows as partial. Next step: ask the candidate to describe a deployment they owned before deciding on seniority.
Registered nurse, Toronto
Clinical experience is clear, but the required unit type is not found in the CV. Next step: do not reject. Ask whether the candidate has worked in a comparable setting, since older roles are often summarised briefly.
Sales development representative, Dubai
Outbound prospecting and CRM use are demonstrated. Arabic is a preferred requirement and is not found. Next step: advance on the required items and confirm language skills during screening.
Finance analyst, Sydney
Low evidence quality. The resume lists duties without scope or outcomes, so most items are unclear. Next step: treat the score with caution and ask for concrete examples of forecasting and reporting work.
Operations team lead, Berlin
Strong people-management evidence, but the job description asks for warehouse systems experience that is only partial. Next step: use the interview focus areas to probe system ownership versus day-to-day use.
Customer support agent, Dublin
Shift work and ticketing tools are demonstrated. Written communication quality cannot be judged from a resume. Next step: add a short writing task or structured question rather than inferring ability from formatting.
Grade every applicant for a role against the same job description, so scores are comparable across the pool.
AI Resume Grader vs. keyword filters vs. manual review
| Method | Matching approach and output | Best use |
|---|---|---|
| Manual review | Human interpretation that can vary by reviewer. Produces notes or a judgment. | Nuanced final review |
| ATS keyword filter | Exact terms and configured rules. Produces pass, fail or a rank. | Basic high-volume filtering |
| AI Resume Grader | Compares requirements with resume evidence. Produces a score, evidence, gaps and limitations. | Consistent first-pass review |
No method should make the hiring decision alone. Combine structured resume review with relevant interviews and other job-related evidence.
How to know if your resume screening is good
Use these best practices to keep resume review consistent and fair to every applicant.
- Must-haves are separated from preferences. Required status is reserved for genuine non-negotiables, and trainable criteria are marked preferred.
- Evidence counts more than polish. Concrete actions, scope and outcomes outweigh keyword density or confident wording.
- Every candidate is reviewed against the same role, using one job description and one reading of its requirements.
- Missing information is verified. "Not found" is treated as undocumented, not as a confirmed gap.
- The final decision stays human. The analysis organises review and interviews and is never an automatic hiring verdict.
Turn unresolved evidence into neutral, job-related follow-up questions for the interview.
Common resume screening mistakes
Grading against the title only
A title alone hides what the job really involves. Paste the full job description so the comparison reflects the actual role.
Reading the total score first
The total hides the reasoning. Check evidence quality and limitations before deciding what the number means.
Auto-rejecting low scores
A low score can reflect a thin resume rather than a weak candidate. Review the requirement analysis and decide whether a clarifying question is worth asking.
Rewarding keyword density
Repeating a tool name is not the same as using it. Look for the project, scope or outcome behind each claim.
Changing the bar between candidates
Editing requirements halfway through a pool makes scores incomparable. Agree the job description before grading anyone.
Pasting data you should not process
Remove information you are not authorised to share, and follow your own data policies for candidate records.
This tool vs. ChatGPT vs. reviewing resumes manually
This resume grader
Structured output every time: score, evidence quality, requirement status and interview focus areas tied to resume evidence. You still decide what the gaps mean.
ChatGPT
Useful for summarising a resume or discussing a candidate. Output format changes with each prompt, which makes candidates harder to compare side by side.
Manual review
Best for nuanced judgment on a short list. Slower across a large pool, and two reviewers may read the same resume differently.
Use the grader for a consistent first pass, then apply human judgment to the shortlist and verify gaps in the interview.
When a resume grader is the wrong tool
A resume score only reflects what the resume documents. Do not use it for the following.
- Evaluating protected traits, personality or culture fit.
- Judging medical information or a candidate's need for accommodation.
- Validating whether a claim on the resume is true.
- Screening hundreds of applicants one paste at a time.
- Replacing interviews, work samples or other job-related assessments where those methods are relevant and lawful.
For high-volume roles, AI resume screening in InterviewFlowAI reviews every applicant and can route qualified candidates into structured AI interviews.
Frequently asked questions
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