ResumeIQ helps job seekers find out what's holding their resume back, and fix it, before they apply.
Most resumes are first read by an applicant tracking system and then skimmed by a busy recruiter. Small problems, like a layout the software can't parse, missing keywords or bullets that list duties instead of results, quietly cost people interviews. Expert resume reviews can catch these, but they're slow and expensive. ResumeIQ makes that kind of detailed, line-by-line feedback available to anyone in under a minute.
You upload your resume as a PDF or DOCX and, optionally, the job you're applying for. ResumeIQ uses Google's Gemini AI, guided by a detailed review rubric, to check how applicant tracking systems will read your file, score it on formatting, content quality, measurable impact, keywords and relevance, and suggest specific rewrites. Paid plans can also generate a tailored cover letter.
The feedback is AI-generated, so it's a strong starting point rather than the final word. Read every suggestion and use the ones that fit your experience.
Specific, not generic
Every piece of feedback points to an actual line in your resume. “Add more keywords” isn't useful; “TypeScript is in the job description but missing from your experience” is.
Honest scores
A strong resume gets a strong score and a weak one doesn't. Inflated scores feel good but don't help you get interviews.
Never invented
Suggested rewrites use placeholders like [X]% instead of made-up numbers. Only you know your real results.
Your data stays yours
Your resume is used only to produce your analysis. It isn't sold or used to train AI models, and you can delete it at any time.
ResumeIQ is built and run by Usman Raza, an independent developer based in Rawalpindi, Punjab, Pakistan. Questions, feedback and ideas are always welcome. See the contact page.