How Redvica Scores Your Resume

The resume checker (homepage)

When you upload a resume, Redvica extracts its text and sends that text to an AI model (OpenAI) with detailed instructions. The model returns a structured review:

• Overall score and ATS score: 0 to 100 estimates of resume quality and how readable the file is to automated systems.
• Section scores: for example impact and metrics, formatting and keyword match, each with a short note.
• Weak bullets: the original text, what's weak about it and a suggested rewrite.
• Missing keywords and formatting issues.
• Job match score: only when you provide a job description.

The per-ATS estimates (Workday, Greenhouse, Lever, iCIMS, Taleo)

For five well-known applicant tracking systems, Redvica shows a separate estimate and a list of issues. These are produced by the AI model using documented and commonly reported parsing behaviour (for example, difficulty with columns, tables and text in headers). Redvica does not run your resume through those vendors' actual software. Employers also configure these systems differently, so the estimates show likely risk areas, not guaranteed outcomes. For what is publicly documented, see the ATS guide.

The resume builder's ATS check

The check inside the resume builder is different: it uses fixed rules (for instance, whether contact details, standard sections and bullet points are present). Because it's rule-based, the same resume always gets the same result.

Job-specific tailoring

Tailoring compares your uploaded resume with a job description and proposes specific changes, each with a reason and a priority (types include summary rewrites, bullet rewrites, skills reordering and keyword alignment). Rules we apply to every suggestion:

• It only rewrites text that already exists in your resume.
• It must not invent skills, tools, employers, titles, metrics or achievements. If the job asks for something your resume doesn't show, it appears as a missing keyword, not as a claim.
• Nothing changes until you approve it. For a DOCX, approved changes are applied to a copy of your original file; for a PDF, they open as a new resume in the Resume Builder.

You are responsible for checking that every line is true before you send it. We can't verify your experience.

LinkedIn Optimizer and cover letters

The LinkedIn Optimizer and the cover letter generator work from the structured facts in your resume (plus the target role or job description you provide). Their instructions forbid inventing companies, titles, degrees, skills, numbers or achievements. The AI can still make mistakes, so read and edit everything before using it.

Limits you should know about

• AI output can be wrong, generic or inconsistent between runs.
• A high score doesn't guarantee an interview, and a low score doesn't mean you'll be rejected.
• Parsing of your uploaded file may miss content in unusual layouts, images or scanned PDFs.
• Hiring decisions depend on far more than a resume: the role, the employer and the competition.

How your data is handled

Your resume text is processed by OpenAI through its API to generate the results; OpenAI's API data policy says API data isn't used to train its models. Signed-in users' analyses are saved to a private history they can delete; guest analyses aren't stored after the result is returned. Payments are handled by Razorpay. The full details are in the Privacy Policy.

How we write our guides

Guides cite primary sources where they exist (for example vendor support documentation) and show the date they were last updated. Examples are labelled as illustrative samples and are not real users' resumes. If you spot a mistake, tell us through the contact page and we'll correct it.