TextSight ranks first for Indian users and QuillBot is the strongest free alternative. Two things make the best AI humanizer India question different from the US one: detectors over-flag Indian English, so many readers arrive here already flagged on work they wrote; and most of this category prices in dollars and gates its trial behind a card, which decides the shortlist before quality does.
So the comparison below is on what you can verify from here without paying: a free tier that works on your own writing, and whether the tool shows you what it changed. And if you were flagged on your own work, read the second section first, because the right tool for you is none of them.
We rank ourselves first and say so. The criteria are published, so you can disagree with the weighting and still use the table.
| Tool | Usable without a card | Shows every change | Handles Indian English register | The catch for an Indian user |
|---|---|---|---|---|
| TextSight | 3/day, 260 words, no account | Yes, changed wording highlighted | English-only detector, so the score is meaningful | Rewrites less hard than Undetectable.ai by design |
| QuillBot | Yes, genuinely usable | Paraphrase only | Paraphraser, not an AI-signal rewriter | Different job from humanizing |
| HumanizeAI | Yes | No diff | No register handling | Basic free pass and little else |
| WriteHuman | Gates behind payment | No diff | No register handling | Per-request word cap after the 2026 restructure |
| StealthGPT | Small preview only | No diff | No register handling | Cheapest paid entry, but hard to trust-test |
| Undetectable.ai | Gates behind payment | No diff | Flattens voice toward a US register | Heaviest rewrite, needs a cleanup pass |
Compared on properties you can verify from India without a card. No tool here, ours included, can measure itself against a university's own checker.
Because it decides what you can actually evaluate. Most of this category asks for payment details before you see output on your own writing, and a tool you can't trust-test is one you are buying on faith. Ours runs 3 humanizations a day at up to 260 words with no account at all, which is enough to form a real opinion.
Our detector is built and measured for English, which is the honest framing of both its strength and its limit. It reads Indian English as English, so the before and after score is meaningful. What it doesn't do is score Hindi, Tamil, Bengali or Marathi text, and we're not going to imply otherwise. If you draft in another language and translate, score the English version, because that is what gets read and checked.
Pricing in rupees and the current plan ladder are on the pricing page. We aren't quoting figures here because they change and a stale number on a comparison page is worse than no number.
This is the part that actually matters for most Indian users, and it is not a tooling problem.
Seven detectors between them flagged 61.3% of TOEFL essays by non-native English writers, their measurement rather than ours (Liang et al., 2023). Native-written control essays in the same study were barely flagged. That is a property of the detectors, not a judgement about the writing.
The mechanism is uncomfortable but simple. Detectors measure how predictable your word choices are and how much that varies between sentences. Careful second-language English draws on a more deliberate vocabulary and more reliable sentence patterns, and uses idiom sparingly. All good discipline. All of it reduces statistical surprise, which is exactly what these systems read as machine-written.
If that is why you are here, a humanizer is the wrong instrument. Rewriting replaces the sentences you would use to show the work is yours and overwrites your draft history. Gather process evidence instead, and cite the figure above, because it moves the conversation from your character to a documented flaw in the tool. The ESL page sets out what to bring.
This is the only case where the question is really about choosing a tool. Pick on whether you can see the changes, because the risk is a cited claim moving rather than the prose getting worse. Use the lightest mode, work a paragraph at a time, and check every sentence carrying a reference.
Pick none of them. See the section above and how to prove you didn't use AI.
StealthGPT has the lowest paid entry price in the category, at the cost of no diff and no re-score. Before paying anything, check whether the free tiers already cover the paragraph-at-a-time workflow this page recommends, because for many users they do.
Undetectable.ai rewrites harder in a single pass than we do, and we're not going to pretend otherwise. The cost is choppier output and a flattened voice that drifts toward a US register, with no diff to catch what moved. Reasonable for a blog post. Not for a university submission.
It won't name a tool that passes your university's checker, because no vendor can see another system's verdict and detectors retrain against exactly these techniques. It won't print a bypass rate. It won't use the word undetectable about our own product, and a competitor page that does is making a claim about a system it can't measure.
It also ranks our own product first, which you should weigh accordingly. The reason is structural rather than performance-based: we are the only tool in the table that shows the diff, re-scores its own output with our detector labelled as ours, and runs without a card.
TextSight, judged on what you can verify without a card: a free tier that runs on your own writing with no account, and a highlighted view of every change. We disclose that this is our own product. QuillBot has the most usable free tier in the category but is a paraphraser rather than an AI-signal rewriter. If you were flagged on work you wrote yourself, the honest answer is that none of these tools is the right choice.
Ours runs 3 humanizations a day at up to 260 words each with no account and no card, and a free account gives 3 actions a day, scan or humanization in any mix, at up to 260 words per humanization in Light and Balanced modes. That is enough for the paragraph-at-a-time workflow this page recommends. Several competitors ask for payment details before showing output on your own text, which is the main thing that narrows the practical shortlist from India.
Our detector is built and measured for English, so the before and after score is only meaningful on English text. The rewriter will accept other languages but we publish no quality or accuracy claims for them and you should not rely on the score. If you draft in another language and translate into English, score the English version, since that is the version that will be read and checked.
Because they measure how predictable your word choices are and how much that varies between sentences, and careful second-language English scores exactly that way for reasons unrelated to quality. A more deliberate vocabulary, reliable sentence patterns and sparing idiom all reduce statistical surprise. Liang et al. (2023) measured an average false positive rate of 61.3% across seven detectors on TOEFL essays by non-native writers while barely flagging native-written controls.
No. A rewrite replaces the sentences you would use to prove the work is yours and overwrites the draft history that supports you. Collect process evidence instead: version history, earlier drafts, notes and outline, and be ready to explain your argument. Then cite the research above, because it reframes the discussion from your character to a documented property of the detector.
Current plans, including rupee pricing, are on our pricing page rather than quoted here, because a comparison page with a stale price is worse than one with no price. What is worth knowing before you look is that the free path needs no card at all, so you can evaluate the output on your own writing before any pricing question arises.
No, and a guarantee is the clearest signal to walk away from a vendor. Nobody selling a humanizer can see what your institution’s checker outputs, and those systems retrain specifically against rewriting techniques. What a rewrite demonstrably does is change the statistical properties detectors read. Whether that is enough for a specific checker on a specific document is not something anyone can honestly promise.
The product page, with the India-specific workflow.
See the tool →Why detectors over-flag second-language English, with the research.
Read the evidence →The detector-side ranking, if scoring is what you need.
See the ranking →What to gather if you wrote it and were flagged anyway.
See the evidence list →The full six-tool ranking with criteria and weighting.
See the ranking →The citation check before anything is submitted.
Read the method →3 humanizations a day at 260 words, no account, no payment details. Run two real paragraphs through it and read exactly what changed. That tells you more than any ranking, this one included.