Extract requirements
A single pass reads the job description and pulls out the 8-12 highest-weighted hard requirements — skills, tools, certifications, years of experience.
Paste a job description and your resume. Lamr extracts the posting's must-have keywords and checks which ones your resume actually contains — the same deterministic keyword-matching engine built into the full product, run for free with no account. Nothing you paste is stored.
Plain text works best — paste the full job description and the text of your resume. Nothing is uploaded as a file and nothing is saved after your score is computed.
Models are unreliable at holistic scores but reliable at narrow extraction — so that's the only thing asked of it here. Everything after that is deterministic and reproducible.
A single pass reads the job description and pulls out the 8-12 highest-weighted hard requirements — skills, tools, certifications, years of experience.
Each requirement is checked against your pasted resume text with exact-phrase and word-level matching — the same logic that powers ATS coverage inside the full Lamr app.
You see the score and exactly which keywords matched or didn't. The text you pasted is never written to a database.
Closing a keyword gap by hand for every application gets old fast. Lamr automates the tailoring this checker only measures.
Private alpha
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