Compare resume text with a job description to identify matching skills, missing requirements, and practical tailoring opportunities.
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Uses 1 free daily AI generation. Your text is sent once for this analysis and isn't stored.
AI-generated content may contain inaccuracies. Text you submit for AI features is sent to the server-side AI provider for processing; please review and personalize the output before use.
Match results appear here
You'll get a match percentage, matched and missing skills, and concrete tailoring suggestions.
Paste a resume and the full job description, or upload a PDF or DOCX resume.
Submit the texts for an AI-assisted match analysis.
Use matched skills, missing skills, and suggestions to make truthful revisions.
The analysis may flag a named technology when the resume uses only a general phrase.
Input
Resume: Automated deployment workflows.
Job description: Experience with GitHub Actions is required.Output
Possible missing skill: GitHub Actions. Suggestion: add it only if it accurately reflects the workflow used.Input
Resume: Built Node.js APIs and maintained PostgreSQL databases.
Job description: Seeking backend experience with Node.js, SQL, and AWS.Output
Matched: Node.js, SQL/PostgreSQL. Potential gap: AWS. Review the resume for truthful cloud experience before editing.This tool compares one resume with one job description rather than grading either document in isolation. It is designed to reveal which skills are already represented, which requested skills are not evident in the resume, and where clearer evidence could improve alignment.
The comparison is AI-assisted and depends on the text supplied. A missing skill may be genuinely absent, described with different wording, or present only implicitly. The result should therefore guide a careful human review, not encourage copying requirements that the candidate cannot support.
Paste at least 50 characters of resume text or upload a text-based PDF, DOCX, or TXT file up to 5 MB.
Paste at least 30 characters from the job description, including responsibilities and qualifications.
Select Run Match to send both texts for analysis.
Review the match percentage, summary, matched skills, missing skills, and suggestions.
Edit only claims you can support, rerun when needed, and optionally download the result as a PDF.
Analyzes resume and job-description text together.
Separates apparent overlap from requirements not evident in the resume.
Returns focused ideas for clearer, more relevant tailoring.
Supports resume text extraction and a downloadable analysis report.
Check whether a master resume reflects the terminology and priorities of a specific opening.
Distinguish genuine qualification gaps from experience that is merely under-described.
Use matched requirements to identify examples worth preparing for an interview.
Both texts are validated, then sent to the job-match endpoint. The AI response uses a fixed structure: match_percent, summary, matched_skills, missing_skills, and suggestions. The interface presents those fields and can send them to the PDF-report endpoint.
Pasted text or a text-based PDF, DOCX, or TXT upload up to 5 MB.
Pasted plain text.
Structured on-page analysis and optional PDF report.
Extract text from a supported resume file instead of pasting it.
Download the completed comparison as a report.
The comparison requires at least 50 characters of resume text.
At least 30 characters are required; a full posting produces more useful context.
Image-only or scanned files need OCR before upload.
AI-assisted comparisons are rate limited.
Include the complete responsibilities and qualifications instead of only the job title. Use a representative resume rather than a short summary.
Check for synonyms and indirect wording. If the experience is real, clarify it in a relevant bullet rather than adding an unsupported keyword.
Resume and job-description text are sent to the server-side AI provider when the comparison runs. Resume uploads are processed by the server for text extraction. Generated PDF reports are server-assisted. The interface states that analysis text is not stored after the request.
Use the full posting, including qualifications and responsibilities.
Add missing terms only when they accurately describe your experience.
Preserve a master resume and save a separate tailored version.
Review suggestions for tone, evidence, and factual accuracy.
Separate requirements you do not have from experience that is present but unclear. Focus revisions on the second group.
A skill is more convincing inside an achievement bullet than in an unsupported list.
The endpoint accepts resume text from 50–30,000 characters and job-description text from 30–30,000 characters. It returns structured JSON and is protected by the project's AI-generation rate limit.
| Result | Meaning | Recommended action |
|---|---|---|
| Matched skill | Evident in both texts | Keep strong supporting evidence |
| Missing skill | Not evident in the resume | Verify experience before adding |
| Suggestion | AI-generated tailoring idea | Edit and fact-check |
Applicants tailoring a resume for a particular opening, career coaches reviewing alignment, and professionals deciding which experiences deserve more emphasis.
No. It is an AI-generated comparison of the two supplied texts, not a result from an employer's system.
Yes. Text-based PDF, DOCX, and TXT files up to 5 MB can be used for server-side text extraction.
No. Add only skills you genuinely possess and can explain with evidence.
Responsibilities and qualifications provide the context needed to distinguish central requirements from incidental wording.
Yes. A completed result can be exported as a PDF.