Beat the ATS — get seen. get interviews.

Ensures the resume structure follows ATS-friendly layouts (no floating text blocks, clear headings, linear flow).

Verifies common headers (Experience, Education, Skills, Summary) are present and standardized for parsing.

Checks encoding/character issues and scans for unreadable sections that break parsers.

Suggests optimal length (1–2 pages depending on experience) and warns against overly long resumes.

Analyzes target JD and identifies missing or under-used keywords to improve matches.

Extracts hard and soft skills from resume and compares to JD requirements.

Checks that your title and role language aligns with the target role to maximize relevancy.

Detects if domain-specific terminology is present (e.g., SaaS, Fintech, Healthcare) for better contextual scoring.

Runs grammar and spelling checks, flagging high-confidence errors and suggestions.

Evaluates tone for professionalism — recommends removing casual or unprofessional phrasing.

Detects measurable achievements (numbers, percentages) and encourages adding quantification.

Checks bullets for action + metric + context structure and warns on long paragraphs.

Ensures contact email and phone appear in expected locations for recruiter reachability.

Detects LinkedIn/profile links and checks for correct format and visibility.

Validates consistent fonts, spacing and list styles across the document.

Checks that contact info is top of page and not buried in header/footer fields unreadable by ATS.

Compares JD to resume for high-value matches and missing sections.

Checks presence and relevance of a tailored professional summary for the target role.

Looks for role keywords (e.g., 'react', 'product-led') concentrated in summary or skills.

Ensures achievements are visible and prioritized, not hidden deep in paragraphs.

Detects layout elements (tables/text boxes) that commonly break ATS parsing.

Validates file types (PDF/DOCX) and warns about image-only PDFs or odd formats.

Checks for standard fonts and warns when exotic fonts might render poorly in parsers.

Verifies that section titles are standard (Experience, Education, Skills) so ATS maps sections correctly.