Undetectable.ai is a bypass humanizer. Its whole job is rewriting AI text so it scores lower on common detectors, with a small detector view that mainly confirms its own output cleared a threshold. TextSight is the opposite tool for the opposite goal: an honest detect-and-improve self-check for the student who wrote the essay and wants to know how it reads before a marker or Turnitin sees it. The detector is the centre of the product, with sentence-level highlights, and the rewriter is there to help you tidy your own lines, not to disguise generated text. This page does not pretend both tools do the same thing. It is an honest comparison of two different choices: trying to hide AI authorship, or understanding your writing well enough to submit work that is genuinely yours.
A short table first. The honest thing to say up front is that these are not competing detectors; one is a bypass humanizer and the other is a self-check. Most rows are about which goal each tool serves, so a student can decide which goal is actually theirs. The sections below go deeper.
| What a student is trying to do | TextSight | Undetectable.ai |
|---|---|---|
| Core goal | Understand how your own writing reads, then improve it | Rewrite AI text so it scores lower on detectors |
| What it is | A detector with a meaning-preserving rewriter | A bypass humanizer with a validation-only detector view |
| Scores writing you did not feed its own rewriter | Yes, it reads any draft independently | Its detector mainly confirms its own output cleared a threshold |
| What you get back | A sentence-by-sentence map with a reason on each line | A wholesale rewrite plus a single confidence number |
| Free tier | 3 scans/day with sentence highlights, no card | A small one-time humanizer preview behind email signup |
| International / ESL writing | Calibrated so formal ESL prose is less mis-flagged | Not built for that; it is a humanizer, not a detector |
| Holds up if a marker asks how you prepared | Yes, "I checked my own writing" is a defensible answer | Harder to explain a tool named for evading detection |
| TextSight pricing | Free, Starter $9.99/mo, Pro $19.99/mo ($14.99/mo yearly) | Humanizer allowance; see Undetectable's pricing page |
| Honest best fit | A student who wrote the essay and wants a real self-check | A user whose only metric is the score, with the risks that carries |
Win markers reflect the fit for an honest student self-check, not a third-party audit. Undetectable.ai pricing moves with promotions; check its page before subscribing.
To be fair, Undetectable.ai is good at its actual job, and pretending otherwise would not be honest. These are the areas where it delivers what it advertises. Our view is still that the job itself, hiding AI authorship, is the wrong thing for a student to be buying, but that is a separate point from whether the product works.
Undetectable.ai has been building a humanizer-centred workflow for years, and the focus shows. The rewrite engine, the aggression slider, and the browser extension are smooth in the way a single-purpose product tends to be. TextSight includes a rewriter, but it is one part of a detect-and-improve tool, so on the narrow surface of rewriting-to-lower-a-score, Undetectable has gone deeper.
This is the main reason people reach for it, and it is not just marketing. At its most aggressive setting the tool runs several rewrite passes and will break voice and cadence to push a score down on common detectors. If the only thing you care about is the percentage on one detector today, it can deliver that number. TextSight will not, by design: its rewriter keeps your meaning and voice intact instead of chasing a score, which is the wrong trade if score-chasing is the entire point.
Undetectable.ai is one of the names a student is most likely to have already heard when they search for a humanizer. If a classmate recommends it, the name does the work. TextSight is younger and earns attention on what it does rather than recall, so a student who only knows the bypass keyword will hit Undetectable first.
If that is genuinely the workflow you want, the rest of this page is information, not a sales pitch. The honest TextSight position is that hiding authorship is a poor bet for a student, for the reasons set out further down, but that is a different argument from whether Undetectable does what it says.
For undergraduates pre-scanning their own English drafts, ESL students worried about over-flagging, and thesis writers iterating on long documents, here is where TextSight is the better student tool.
If you wrote the essay yourself and want an honest read on whether it will be misread as AI, you need a detector that scores arbitrary writing, not one tuned to clear its own AI rewriter's output. Undetectable's bundled detector exists to confirm rewrites land under an internal threshold. TextSight's detector is the centre of the product with a published methodology, scored sentence by sentence, the same way an independent classifier would read your draft. For a student calibration workflow, an independent detector is the only thing that gives you useful information.
Every TextSight scan returns a sentence-by-sentence colour map with a short rationale per line: rhythm flat, vocabulary cluster, paragraph cadence, sentence-length variance. You see exactly which six or seven sentences in a 1,500-word essay are pulling the score down, so you can rewrite those rhythms by hand or click the bundled AI rewriter on them. Undetectable returns a confidence score plus a wholesale rewrite, which is useful for score reduction but the wrong shape for editing an essay you mostly wrote yourself.
Detectors built on word predictability tend to over-flag formally-taught English from non-native writers, because both the vocabulary and the cadence can look unusually even. A bypass humanizer does not solve this; its detector view exists to check its own output, not to give a non-native student an honest reading of their real draft. TextSight weights structural variance, which separates more cleanly from vocabulary choice, and it is calibrated against international student writing, so the careful English an ESL student actually wrote is less likely to come back as a false flag on the self-check.
If a marker asks how you prepared your draft, "I ran it through an AI detector to make sure my own writing was not being misread as AI" is a defensible answer. "I ran it through a score-reduction AI rewriter to lower my Turnitin reading" is a much harder conversation, regardless of whether the essay was originally yours. TextSight positions explicitly around calibration and pre-submission self-checking, which is the framing that holds up in an integrity review. Undetectable leans into score-reduction framing in its name and marketing, which creates awkward conversations in academic settings.
This is the part of the comparison most vs-pages skip. We think it is the most important thing for a student reader to hear, even when they came to this page looking for the strongest AI rewriter.
The detector vendors that institutions use are now backed by real research budgets and real model-iteration loops. What worked in May 2025 fails in October 2026 with embarrassing regularity. A score-chasing AI rewriter that posts a great score against current Turnitin can be a much worse bet six months later, by which time you may have submitted a transcript or thesis that gets re-checked.
The Maximum-mode rewrites that Undetectable is genuinely best at often introduce a different signal that markers and integrity panels notice: inconsistent voice. A paragraph in your usual register followed by a paragraph that suddenly reads like a thesaurus exploded is itself a flag, even if no detector caught it. The harder the rewrite, the more this happens.
If you actually wrote the draft yourself, the failure mode you should worry about is a false-positive flag, not a true-positive one. The fix for that is calibration, not score-chasing. Pre-scan with an honest detector. Look at the sentence-level highlights. Notice which rhythms read AI-shaped. Rewrite those specific sentences with the bundled ethical AI rewriter or by hand. Submit a draft that is honestly yours and that you understand the shape of. That workflow holds up regardless of which detector your institution upgrades to next quarter.
TextSight is not a tool for converting AI-generated drafts into submissions you did not write. We do not promise permanent score reduction, we do not market against integrity policies, and we do not consider the score-reduction-first workflow a problem we want to solve. If that is the tool you need, Undetectable is the more honest fit, and the rest of this page can save you from buying the wrong thing.
TextSight Starter is $9.99 a month with detection and the rewriter bundled together. Undetectable.ai sells a humanizer allowance at its own rates; check its pricing page for the current figure. The point is not the headline number, it is that the two prices buy different things, a self-check versus a bypass.
Billed $89.88/year, Save $30
Billed $179.88/year, Save $60
Billed $359.88/year, Save $120
Yearly billing saves 25%. Undetectable.ai does not publish a student tier today. View full pricing →
You wrote a draft, you used ChatGPT to help with one section, and you want to make sure the whole thing reads honestly before Turnitin sees it. Here is the same evening with each tool, side by side.
Sign up with email, verify, paste the full essay into the AI rewriter. Pick Aggressive mode, since you have no idea which specific sentences flag and the tool does not tell you. Wait for the rewrite. Read the output and notice the voice has shifted, some technical terms got swapped, one citation got paraphrased away. Spend 20 minutes patching the rewrite by hand to restore meaning and citations. Open a separate detector tab to verify, or trust the bundled detector that exists to validate the AI rewriter's own output. Total elapsed: 45 to 60 minutes. The submitted essay reads less like you and may now have new inconsistencies a marker could question.
Paste the essay into the free scanner, no email and no signup needed. One scan returns the Authenticity Score, sentence-level highlights, and a Plagiarism Risk indicator. You see which handful of sentences in your draft are pulling the reading down, and which paragraph is the heaviest. Use the rewriter on those specific lines, or just revise them by hand, keeping your voice, structure, and citations intact. Re-scan and the reading improves. The whole thing takes well under half an hour, and the submitted essay still reads like you, in a register that is less likely to be misread as AI.
The TextSight workflow is faster because you only rewrite what is flagged, and the rewrite engine targets the same signals the detector reads. The Undetectable workflow assumes the whole essay needs rewriting because it has no way to point at specific sentences, and the most aggressive rewrite mode introduces its own marker-visible signal in the form of inconsistent voice. Both paths can get you to a passing score on a specific detector. One gets you there in a quarter of the time and leaves you with a draft that is still recognizably yours.
Both products are built by serious teams solving different problems. The honest student answer is workload-specific. Use this picker to match the tool to the workflow you actually want to be in.
If you only know one keyword and that keyword is "rewriter," Undetectable is the honest match. If your real worry is being misread as AI on work that is honestly yours, TextSight is what the calibration workflow was built for.
The full student page. FERPA-aware scanning and the pre-submission workflow.
See the student page →Pre-Turnitin sentence-level scan for undergrad essays and lab reports. Perplexity and burstiness signals explained.
Read the guide →The general head-to-head across all use cases. Calibration vs score reduction, with the bigger feature table.
Read the compare →Full tier breakdown for Free, Starter, Pro and Business. Yearly billing saves 25%.
See pricing →Start with TextSight's free tier. No card, no signup, no commitment. A quick first scan, with sentence-level evidence on the work you wrote yourself.
Honest head-to-heads with other detectors and humanizers.