Give it the role and your real background, and it drafts a tailored cover letter from the facts you provide — no invented employers, no made-up degrees, no fabricated metrics. It gets you past the blank page so you can edit instead of stare. Then run the draft through TextSight's AI detector and rewriter to make sure it reads like a person wrote it, not a template. Your story, arranged well, in language that sounds like you.
A recruiter reads dozens of applications for one opening. The letters that lose are the ones that read like every other letter — and unedited AI output reads exactly like every other letter. Knowing the tells is the first step to writing past them.
"I am writing to express my keen interest in the position." Almost every unedited AI cover letter opens this way, and recruiters have read it a thousand times. The same goes for "I am excited to apply" and "I believe I would be a great fit." These are filler that say nothing about you. A letter that opens with a specific reason you want this exact role, or a one-line result from your background, earns the next sentence of attention.
Default AI letters tend to land in the same shape: a warm intro, a middle paragraph of "I am a results-driven professional with a passion for excellence," and a polite close. The middle is where it falls apart, because "results-driven" and "passion for excellence" are claims with no evidence. A human letter names the project, the number, the team, the thing that actually happened. Specifics are what abstract templates can never fake.
Moreover, furthermore, in conclusion, leverage, robust, seamlessly, dynamic. Stacked transition words and stock business vocabulary are some of the strongest signals that a machine wrote the prose without a person editing it. They are not wrong words; they are overused ones. Cutting them and writing the way you would actually talk is most of the work of making a draft sound human.
A growing number of hiring teams paste cover letters into an AI detector, especially for writing-heavy or entry-level roles where the letter is the work sample. The point of this page is not to help you hide that you used a tool — it is to help you write a letter that is genuinely yours, in your voice, with your facts, so it reads human because it is. That is a better outcome than any disguise.
Four steps from blank page to a letter you would actually send. The generator does the arranging; you keep ownership of the facts and the final voice.
Paste the job title, the company, and ideally the job description. The more the draft knows about what the team is looking for, the more it can point your background at the right priorities instead of producing a one-size-fits-all letter. Naming the specific product or team is what separates a tailored letter from a generic one.
Type or paste the parts of your history that matter for this role: employers, titles, dates, skills, and the results you are proud of. Paste straight from your resume if that is easiest. This is the only source the draft uses — it works from your facts and nothing else, so what comes back is built on things that are actually true about you.
The generator arranges your background into a cover letter aimed at the role — a real opening, a body that connects your experience to what the team needs, and a close. It will not pad thin sections with invented experience; if a part of your background is light, the draft stays honest there and leaves you a clear place to add the real detail.
Before you send, run the draft through TextSight's AI detector to spot any sentences that still read machine-written, revise those lines in your own words or rewrite them, and drop in the one concrete story a recruiter would remember. Read it aloud once. When it sounds like you talking, it is ready.
Plenty of cover letter tools overpromise. Here is the plain version, so you know exactly what you are getting before you start.
The letter is assembled from what you provide — your employers, your roles, your skills, your results. It does not reach for outside data or guess at gaps. If you did not give it a number, it does not invent one. That constraint is the whole point: a letter you can stand behind because every claim in it came from you.
It will not add a degree you do not hold, an employer you never worked for, a title you did not have, or a metric you did not achieve. Tools that happily fabricate impressive-sounding experience are setting you up to be caught in an interview or a reference check. TextSight is built the opposite way — to keep your letter true.
A generated draft is the first 70 percent, not the finished letter. You still have to read every line, cut anything that does not sound like you, fix the company and role specifics, and add the detail only you could write. The value is escaping the blank page and going straight to editing, which is where good letters are actually made.
No cover letter tool can promise a callback, and we will not pretend otherwise. The letter is one input; your resume, the role fit, and the hiring bar weigh more. What a strong, human-sounding draft does is make sure your real story is told clearly and is not dismissed for reading like a template. The rest is the match between you and the job.
A draft is only useful if the final letter sounds human. TextSight's detector and rewriter are live tools you can use on the same letter you just drafted, in the same browser, before it goes out.
Paste the cover letter into TextSight's AI detector and read the sentence-level highlights. They show you which lines read machine-written and which already sound like a person. This is the fastest way to find the exact sentences that need your attention rather than rewriting the whole thing blind.
For the sentences that read AI, either type them again the way you would actually say them, or run them through the AI rewriter to vary the rhythm, break up the even paragraphs, and strip the stock transitions and business vocabulary. The rewriter preserves your meaning and the facts you gave it — it changes how the line reads, not what it claims.
The thing that makes a letter land is a specific, true detail: the project you shipped, the metric you moved, the exact reason this company over the others. No generator and no rewriter can invent that for you, because it is yours. Drop it into the body and the letter stops sounding generated and starts sounding like a candidate worth meeting.
Draft the letter, scan it, rewrite the weak lines, add your detail, read it aloud, send. Because the detector and rewriter run in the same TextSight workspace, you are not copying between five tools. The whole loop — from blank page to a human-sounding, fact-true cover letter — happens in one place.
Start free with no card. Drafting plus the detector and rewriter are available across Free, Starter, Pro, and Business — pick the tier that matches how many letters and scans you run.
Billed $89.88/year — Save $30
Billed $179.88/year — Save $60
Billed $359.88/year — Save $120
Yearly billing saves 25%. View full pricing →
Once you have a draft, these are the highest-leverage changes. None of them require new facts — just sharper use of the ones you already gave.
Cut "I am writing to express my interest" entirely. Replace it with the single most relevant thing about you for this role, or a real reason you want to work on this specific product or team. The first line decides whether the rest gets read; make it earn that.
Wherever the draft says "results-driven," "passionate," or "detail-oriented," swap in the thing that proves it: the project, the number, the outcome. One concrete example does more than three adjectives, and it is something the next applicant cannot copy because it is yours.
A letter that could be sent to any company will be treated like it was. Reference the actual team, product, or requirement from the job description. Tailoring even two sentences to this specific role signals you are applying here on purpose, not blasting a template.
This is the simplest human-sounding test there is. Read the draft out loud. Any phrase you would not actually say to a person — "leverage my robust skill set," "seamlessly contribute to your dynamic team" — gets cut or rewritten in plain words. What is left sounds like you because it is how you talk.
Scan a cover letter to see which sentences read machine-written before you send it.
Check a letter →Rewrite flat, machine-sounding lines in your own voice while keeping your facts intact.
Open the rewriter →Run the same human-sounding check on your resume so the whole application reads like you.
Check a resume →Full tier breakdown for Free, Starter, Pro, and Business. Annual billing saves 25%.
See pricing →Give the role and your real background, get a tailored draft from your facts only, then check it reads human with TextSight's detector and rewriter. Start free, no card.