Resumatic is a ChatGPT-powered resume builder for job seekers. It turns a job description into a tailored resume and is described as a tool for creating ATS-ready resumes, with a focus on helping applicants present skills and experience in a format aimed at employers.
Its workflow starts by pasting a job posting URL or text. Resumatic then identifies keywords, skills, and qualifications from the posting and drafts achievement-driven bullet points for the role. Users can edit those suggestions inline or accept them as-is. The service also provides a 0–100 resume score with a detailed breakdown, and it supports export as a pixel-perfect PDF ready to submit. Additional features named on the site include resume version sorting and grouping, sharing control over who views a resume, keyword optimization, pixel-perfect formatting, full control of text styles such as bold, italics, underline, and links, and resume analysis. It also says that its formats are designed for ATS compatibility, and that it offers real-life resume examples.
Resumatic is delivered as a web-based service. The site invites users to create a resume for free, says no card is required to start, and lists pricing plans for Free, Pro at $29 per month, and Lifetime at $149. A usage table states that the Free plan allows one resume while Pro and Lifetime allow unlimited resumes, and that the paid plans include cover letter and resignation letter builders. The page also says the product is powered by ChatGPT and uses GPT technology fine-tuned for professional resume writing. It describes itself as the officially recommended resume builder in /r/resumes and says it includes expert review by a Certified Professional Resume Writer.
In the Résumés & cover letters space, Resumatic takes a focused approach. It focuses on creating professional, tailored resumes quickly using AI to match job descriptions. Resumatic is a consumer product aimed at job seekers. There is a free tier. Resumatic is available on the web.
Among its 5 catalogued features are AI resume generation, job description parsing, and resume scoring.
Summary written by a language model from the project’s public pages.
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