resume-ats-pdf-optimizer

ATS optimization scores your resume PDF against a target job description using gap analysis, identifying missing keywords and producing a 0–100 compatibility scorecard. It then applies minimal, layout-preserving edits to the PDF to improve keyword coverage and parse safety.

ATS keyword gap analysis compares your resume content against a job description to identify missing exact JD keywords, weak experience evidence, and section-level parsing risks. It generates a ranked report of gaps so you can prioritize which terms to add for better matching.

Yes, layout-preserving PDF edits use text patching first, overlay fallback second, and DOCX fallback only when appropriate. This ensures typography and overall structure remain unchanged while applying minimal content improvements for ATS compatibility.

The ATS scorecard produces a 0–100 score broken into keyword coverage, experience evidence alignment, skills alignment, and parse safety. It checks page count integrity and parseability to ensure the updated PDF remains readable by applicant tracking systems.

Resume tailoring applies constrained PDF edit methods with no-fabrication guardrails, meaning it only adds or adjusts existing content without inventing new experience. It generates a prioritized edit plan and reports baseline versus updated scores with edited areas highlighted.

ATS parsing can fail due to section-level formatting risks and typography drift in the PDF. Gap analysis identifies these parse safety issues and applies layout-preserving edit methods to fix them without altering the document's overall structure.