Optimize Your Resume ATS Score

Analyze your technical profile against your target job role. Find core keyword gaps, formatting improvements, and strong STAR-method bullet points.

🎯 Technical Focus

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Click or Drag Resume
PDF, DOCX, or TXT up to 5MB

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Ready for Scan

Upload your CV, select your target tech role, and click "Run ATS Audit" to receive instant visual evaluation feedback!


Free Guide

How to Pass the ATS Technical Screen

Understand the algorithm behind Applicant Tracking Systems (ATS) and optimize your engineering resume for tech recruiters.

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1. Keyword Match

ATS systems scan for specific libraries, programming languages, and databases listed in the job description. If a job requires "PostgreSQL" and your resume only says "SQL", you might rank lower.

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2. STAR Bullet Points

Structure your achievements using the STAR method: Situation, Task, Action, and Result. Start with strong action verbs and include metrics (e.g., "improved query performance by 40%").

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3. Clean Formatting

Avoid tables, text boxes, and complex graphics in your resume. ATS parsers read left-to-right, top-to-bottom; multi-column templates or text embedded in shapes can cause parsing failures.

Frequently Asked Questions

Clear answers to common questions about ATS resume parsing and scores.

A score of 80 or above is generally considered excellent. Most applicant tracking systems filter out resumes scoring below a certain threshold. Scoring above 80 means your CV has a very high density of matching keywords and strong impact phrasing.

Our AI scans your weak, task-oriented descriptions (e.g., "worked on database") and converts them into STAR-structured points. It defines a Situation/Task, suggests an engineering Action, and integrates plausible, metric-driven Results to show impact.

Yes. You can upload files in PDF, DOCX, or TXT formats up to 5MB. The checker extracts the text layer to evaluate keyword density, formatting structures, and grammatical qualities against target technical roles.

No. Your privacy is paramount. Your resume is parsed in memory to compute the ATS score and suggest bullet point improvements. The raw file is never stored permanently on our database or shared with third parties.