Paste your resume, see which lines read like generic AI output instead of your own work, and rework those lines so they say something specific and true. TextSight pairs a real AI detector with an AI rewriter: scan to find the weak bullets, rewrite the flagged ones in your own voice, then re-scan to confirm. It is a check-and-polish loop for the words on your resume, not a one-click builder and not a promise about any third-party hiring filter.
It is normal to draft a resume with ChatGPT or a built-in AI assistant. The problem is what that draft sounds like to the people and systems reading it. Two things are worth knowing before you hit submit.
Resume volume jumped once anyone could generate a polished draft in seconds, so a lot of recruiting teams and applicant platforms started screening for AI-likelihood the same way they already screen for keywords. You do not control which tools a given employer uses or how they weigh the result. What you do control is whether your resume reads as boilerplate that thousands of other applicants also generated, or as a specific account of your own work. The first kind blends into the pile; the second kind stands out for the right reason.
Even setting detectors aside, AI-written bullets tend to converge on the same empty language: results-driven professional, proven track record, leveraged cross-functional synergies, spearheaded strategic initiatives. A reader cannot tell two candidates apart when both resumes use those phrases, and a hiring manager scanning forty applications will skim right past them. Checking the resume surfaces these lines so you can swap them for what you actually did, with the real numbers and the real context that only you know.
The goal here is not to disguise an AI draft so it sneaks through a filter. The goal is the opposite: take the generic draft and put your actual experience back into it, in language that sounds like you. A resume that reads as your own work tends to read as human to both a hiring manager and a detector, because it is human. The honest framing is clarity and ownership of your story, used responsibly, not evasion.
The checker is a short loop you run on the text of your resume. Each pass takes a couple of minutes and you keep the lines that already sound like you.
Open app.textsight.ai in any browser, paste your resume text (up to 5,000 characters per scan on the free tier, enough for a typical one or two-page resume), and run the AI detector. You get an overall read plus sentence-level highlights showing which bullets and summary lines look like generic AI output versus your own writing. No file install, no extension, no signup needed for the first run.
The highlights point you straight at the weak spots, which are usually the professional-summary paragraph and the most templated bullets. A flagged line is a prompt to ask one question: does this say what I specifically did, or could it appear on anyone's resume? If it is interchangeable, it is worth reworking. If a flagged line is genuinely yours and already specific, keep it; the highlight is a signal to review, not an order to delete.
Send a flagged bullet to the AI rewriter and rework it. Pick Light to nudge phrasing while staying close to the original, or Balanced to reshape rhythm and drop the stock corporate vocabulary. The rewriter preserves your facts (titles, employers, dates, tools, the numbers in the bullet) and changes how the line reads. The point is to land on a version that sounds like you would actually say it in an interview, with the concrete detail intact.
Paste the reworked resume back in and scan again. The lines you reworked should now read as your own voice rather than AI boilerplate, and you can see the change in the highlights and the Authenticity Score (measured against TextSight's own detector). Repeat on any line that is still flagged. When the resume reads as your specific work and you have re-read every edited line for accuracy, you are done.
Once you have run a scan, the same handful of patterns show up across almost every AI-drafted resume. Here is what to watch for and the direction to fix it.
Words like leverage, spearhead, synergy, robust, dynamic, results-driven, and proven track record cluster in AI drafts. They read as filler because they describe nothing. The fix is to name the actual verb (built, shipped, cut, negotiated, trained) and attach a real object: not "leveraged data to drive results" but "rebuilt the weekly sales report so the team stopped re-keying numbers by hand."
The summary paragraph is the single most AI-sounding part of most resumes because people let the assistant write it wholesale. It is usually three sentences of adjectives with no specifics. Rewrite it as two or three sentences that state what you do, the scale you do it at, and one concrete thing you are known for, in plain language.
AI bullets tend to share one shape: strong verb, vague middle, bolted-on outcome, every single line. A human resume has variation. Some bullets are short. Some carry a number. Some name a tool or a stakeholder. Varying the length and structure of your bullets is both more readable and less templated, and it is one of the clearest tells the scan picks up.
AI drafts either skip metrics or hedge them ("significantly improved efficiency"). The check is a good prompt to add the real figure where you have one: the percentage, the headcount, the budget, the timeframe. A specific number is the hardest thing for any generic draft to fake, and it is the thing a hiring manager actually wants. Only add numbers that are true; never invent one to look impressive.
We would rather you know the edges up front. TextSight is honest software; it does two real things well and is clear about what it does not do.
The two capabilities are real and live today. The detector flags lines that read like generic AI output, with sentence-level highlights. The rewriter helps you rework those lines in your own voice while keeping your facts. Together they form a check-and-polish loop for the words on your resume. That is the whole product, and it works.
TextSight works on the text, not the file. It does not promise your resume will parse cleanly through any applicant tracking system, rank for any job, or clear any specific employer's screen. Layout, columns, headers, and PDF parsing are a different problem; use a dedicated resume builder or ATS-formatting tool for those. We make no claim about getting you an interview.
This is not a way to make a resume "undetectable" or to beat a hiring filter, and we will not pretend otherwise. No tool can guarantee a particular result on a third-party AI checker. The Authenticity Score you see is measured against TextSight's own detector, not anyone else's. The honest aim is a resume that reads as your real work because it is, used responsibly.
The rewriter never invents a job, a metric, a tool, or a responsibility you did not enter. It rephrases what you give it and preserves the facts. Because a resume is a document you are accountable for, you should read every reworked line and confirm it is accurate before submitting. We show you no made-up scores and we put no made-up accomplishments on your resume.
The main detector that scores any text and highlights which sentences read as AI versus human.
Open AI detector →How resume AI detection works under the hood and why STEM and recent-grad resumes false-flag most.
Read the deep dive →The rewriter that reworks flagged lines in your own voice while keeping your facts intact.
Open AI rewriter →Full tier breakdown for Free, Starter, Pro, and Business. Annual billing saves 25%.
See pricing →Paste it in, see which lines read as AI boilerplate, and rework those lines in your own voice with your real numbers intact. Free to start, no install, no extension. Re-scan to confirm the lines now read as your own.