Our methodology
What the roast can see—and what it cannot
RoastMyResume is an automated second opinion on the words and structure in your resume. It is not a recruiter, a visual design audit, or a promise that an employer will call.
Maintained by RoastMyResume · Last reviewed August 30, 2026
What happens after you upload
- 1.The server accepts a PDF, DOCX, or plain-text file and extracts selectable text. It does not take a screenshot of the page.
- 2.The extracted text is sent to a general-purpose language model through Groq. The model receives instructions to critique only the information present in the resume and not invent missing facts.
- 3.The response is checked against a fixed output structure before it is shown. The uploaded file is then removed from the application server's temporary storage.
How the four scores work
Overall
A combined judgment of clarity, evidence, organization, and readiness. It is a review score, not a hiring probability.
Content
Rewards clear ownership, relevant detail, concrete outcomes, and numbers that are already in the resume.
Format and structure
Looks at section order and text organization after extraction. It cannot judge margins, font choices, color, or visual balance.
General ATS readability
Checks conventional headings, chronology, readable text, and role-relevant language. It does not test your file inside every employer's software.
The important limitations
- No job description is supplied, so the tool cannot calculate a true job-match score or know which exact keywords an employer values.
- Text extraction can reveal broken reading order, but it cannot prove how every applicant tracking system will parse the original file.
- The model does not know the context behind a layoff, career change, confidential result, or deliberately omitted detail.
- Scores can vary slightly between runs. Use the specific criticism, not a one-point score change, to decide what to edit.
Editorial standard
Our guides are maintained by RoastMyResume. We do not invent a staff recruiter or pretend the model was trained on a private collection of successful resumes. Product claims are checked against the live application, and factual career guidance is sourced where a reliable public reference exists.
For practical resume guidance, we use sources such as the U.S. Department of Labor-sponsored CareerOneStop Resume Guide. For model-provider data handling, see Groq's current data documentation. Our own handling is described in the privacy policy.
Use it as a second opinion
Keep the useful criticism. Ignore any suggestion that would make your resume less accurate.
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